a partial list of citations of dr r sarker, school of itee ... partial list of citations of dr r...

A Partial List of Citations of Dr R Sarker, School of ITEE, UNSW@ADFA

(Compiled from different sources as a proof of wider acceptability of research)

Sarker R, Liang KH, and Newton C (2002) A New Multiobjective Evolutionary Algorithm, European Journal of Operational Research, 140(1), pp 12-23. 1. N Amanifard, N Nariman-Zadeh, M Borji, A Khalkhali (2008) Modelling and Pareto

optimization of heat transfer and flow coefficients in microchannels using GMDH type neural networks and genetic algorithms, Energy Conversion and Management, 49(2), pp311-325

2. MR Chen, YZ Lu (2008) A novel elitist multiobjective optimization algorithm: Multiobjective extremal optimization, European Journal of Operational Research, 188(3), pp637-651

3. Kulturel-Konak, S., Coit, D.W., Baheranwala, F. (2008) Pruned Pareto-optimal sets for the system redundancy allocation problem based on multiple prioritized objectives, Journal of Heuristics 14 (4), pp.335-357

4. N Nariman-Zadeh, M Felezi, A Jamali, M Ganji (2008) Pareto optimal synthesis of four-bar mechanisms for path generation, Mechanism and Machine Theory, In Press

5. J Yang, H Che, F Dou, T Zhou (2008) Genetic Algorithm-Based Optimization Used in Rolling Schedule, International Journal of Iron and Steel Research, 15(2), pp18-22.

6. Atashkari K, Nariman-Zadeh N, Golcu M (2007) Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms, Energy Conversion and Management 48 (3): 1029-1041

7. Elaoud S, Loukil T, Teghem J (2007) The Pareto fitness genetic algorithm: Test function study, European Journal of Operational Research 177 (3): 1703-1719

8. S. Kulturel-Konak, D. W. Coit and F. Baheranwala (2007) Pruned Pareto-optimal sets for the system redundancy allocation problem based on multiple prioritized objectives, Journal of Heuristics, In press

9. S Kulturel-Konak, A Konak, DW Coit (2007) Multiobjective Metaheuristic Approaches to Reliability Optimization, Springer, Computational Intelligence in Reliability Engineering, pp37-62

10. Quan G, Greenwood GW, Liu DL, et al. (2007) Searching for multiobjective preventive maintenance schedules: Combining preferences with evolutionary algorithms, European Journal of Operational Research 177 (3): 1969-1984

11. Ali-Tavoli M, Nariman-Zadeh N, Khakhali A, et al. (2006) Multi-objective optimization of abrasive flow machining processes using polynomial neural networks and genetic algorithms, Machining Science and Technology 10 (4): 491-510

12. Choobineh FF, Mohebbi E, Khoo H (2006) A multi-objective tabu search for a single-machine scheduling problem with sequence-dependent setup times, European Journal of Operational Research 175 (1): 318-337

13. H. Inoue and M. Gen (2006) Study of Effectivity of Multi-objective Multi-stage SCM Network Design by a Random Key based GA using Adaptive-weight Method, Proceedings of the 10th Asia-Pacific Workshop on Intelligent and Evolutionary Systems, pp93-108.

14. Konak A, Coit DW, Smith AE (2006) Multi-objective optimization using genetic algorithms: A tutorial, Reliability Engineering & System Safety 91 (9): 992-1007

15. Tan KC, Goh CK, Yang YJ, et al. (2006) Evolving better population distribution and exploration in evolutionary multi-objective optimization, European Journal of Operational Research 171 (2): 463-495

16. Cotik V, Zaliz RR, Zwir I (2005) A hybrid promoter analysis methodology for prokaryotic genomes, Fuzzy Sets and Systems 152 (1): 83-102

17. M Gen and L Lin (2005) Multiobjective hybrid genetic algorithm for bicriteria network design problem, Complexity International, http://journal-ci.csse.monash.edu.au/ci/vol11/, pp73-82

18. T Keskintürk, ÖA Kasapoglu (2005) An Order Encoding Genetic Algorithm For Lot-Sizing Problem With Multiple Suppliers, 35th International Conference on Computers and Industrial Engineering, pp1135-1140.

19. Martin J, Bielza C, Insua DR (2005) Approximating nondominated sets in continuous multiobjective optimization problems, Naval Research Logistics 52 (5): 469-480

20. YS Min, JX Xiang (2005) A novel multiobjective evolution strategy: design for adaptive balance between proximity and diversity, Parallel and Distributed Processing Symposium, 2005. ieeexplore.ieee.org

21. Min, Y.S., Guo, S.D., Jie, L.Y. (2005) Dynamic archive evolution strategy for multiobjective optimization, Lecture Notes in Computer Science 3410, pp. 135-149

22. Min, YS, Guo, SD, and Jie, LY (2005) Dynamic archive evolution strategy for multiobjective optimization, Lecture Notes in Computer Science 3410: 135-149

23. Nariman-Zadeh N, Atashkari K, Jamali A, et al. (2005) Inverse modelling of multi-objective thermodynamically optimized turbojet engines using GMDH-type neural networks and evolutionary algorithms, Engineering Optimization 37 (5): 437-462

24. Yang, S.M., Ju, X.X. (2005) A novel multiobjective evolution strategy: Design for adaptive balance between proximity and diversity, Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005, art. no. 1420083

25. Yang SM, Shao DG, Luo YJ (2005) A novel evolution strategy for multiobjective optimization problem, Applied Mathematics and Computation 170 (2): 850-873

26. MR Gholamian, SMTF Ghomi (2004) A Hybrid System Oscillator For Multiobjective Supplier Selection Problem, Proceedings of the XVIIth International Conference on Multiple Criteria Decision making - MCDM 2004 - bus.sfu.ca

27. M Gen and L Lin (2004) Multiobjective hybrid genetic algorithm for bicriteria network design problem, The 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Cairns, 6-7 December, pp73-82.

28. R. R. Zaliz, I. Zwir, and E. Ruspini (2004) Generalized Analysis of Promoters: A Method for DNA Sequence Description, Chapter 18, Applications of Multi-Objective Evolutionary Algorithms, C. A. C. Coello, G. B. Lamont (ed.), pp427-450. books.google.com

Sarker R and Newton C (2002) A genetic algorithm for solving economic lot size scheduling problem, Computers & Industrial Engineering, 42(2-4), pp189-198. 29. YJ Huang and MJ Yao (2008) A genetic algorithm for solving the economic lot

scheduling problem in flow shops, International Journal of Production Research, 46(14), pp3737-3761.

30. M. Omar and S. S. Supadi (2008) An integrated production system for a single installment policy of raw material, Malaysian Journal of Science 27 (1), pp.143-151

31. Y-J Chang and M-J Yao (2008) Solving the Economic lot Scheduling Problem with Identical Facilities in Parallel using Genetic Algorithms, Journal of the Chinese Institute of Industrial Engineers, 2008 – In press

32. S. Petrovic, C. Fayad, D. Petrovic, E. Burke and G. Kendall (2008) Fuzzy job shop scheduling with lot-sizing, Annals of Operations Research, 159(1), pp 275-292

33. J Duda, A Osyczka (2007) A genetic algorithm for lot sizing optimization with a capacity loading criterion, Evolutionary Computation, CEC2007. IEEE Congress on, pp 3790-3795.

34. RK Gupta, AK Bhunia, SK Goyal (2007) An application of genetic algorithm in a marketing oriented inventory model with interval valued inventory costs and three-component demand rate dependent on displayed stock level, Applied Mathematics and Computation, 2007 – Elsevier

35. Kobbacy KAH, Vadera S, Rasmy MH (2007) AI and OR in management of operations: history and trends, Journal of the Operational Research Society 58 (1): 10-28

36. SC Neoh, N Morad, CP Lim, ZA Aziz (2007) A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling, Springer, A. Saad et al. (Eds.): Soft Computing in Industrial Applications, ASC 39, pp. 241–250.

37. Pal P, Bhunia AK, Goyal SK (2007) On optimal partially integrated production and marketing policy with variable demand under flexibility and reliability considerations via Genetic Algorithm, Applied Mathematics and Computation 188 (1): 525-537

38. R Perkins, A Brabazon (2007) Credit Ratings with a GA-MLP Hybrid, Artificial Neural Networks in Real-life Applications, pp220-238 - books.google.com

39. MJ Yao (2007) Solving The Joint Replenishment Problem With Warehouse-Space Restrictions Using A Genetic Algorithm, Journal of the Chinese Institute of Industrial Engineers, 24(2), pp128-141

40. AD Yimer, K Demirli (2007) Fuzzy scheduling of job orders in a two-stage flowshop with batch-processing machines, International Journal of Approximate Reasoning, – Elsevier

41. Gaafar L (2006) Applying genetic algorithms to dynamic lot sizing with batch ordering, Computers & Industrial Engineering 51 (3): 433-444 Sp. Iss. SI

42. Keskinturk, T., So yler, H. (2006) Global ant colony optimization, Journal of the Faculty of Engineering and Architecture of Gazi University 21 (4), pp. 689-698

43. Maiti AK, Bhunia AK, Maiti M (2006) An application of real-coded genetic algorithm (RCGA) for mixed integer non-linear programming in two-storage multi-item inventory model with discount policy, Applied Mathematics and Computation 183 (2): 903-915

44. Pal P, Das CB, Panda A, Bhunia, A.K. (2005) An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal two-warehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon), International Journal of Computer Mathematics 82 (2): 163-175

45. NK Mahapatra, AK Bhunia, M Maiti (2005) A Multiobjective Model of Wholesaler-Retailers' Problem via Genetic Algorithm, J. Appl. Math. & Computing Vol, 2005 - mathnet.kaist.ac.kr

46. S Petrovic, C Fayad, D Petrovic (2005) Job Shop Scheduling With Lot-Sizing And Batching in An Uncertain Real-World Environment, Proceedings of the 2nd Multidisciplinary International, 2005 - asap.cs.nott.ac.uk

47. Roy S, Bhunia AK, Mukhopadhyay S (2005) A genetic algorithmic approach on a deterministic inventory model for deteriorating items with shortages, INFOR 43 (3): 271-282

48. Yao MJ, Huang JX (2005) Solving the economic lot scheduling problem with deteriorating items using genetic algorithms, Journal of Food Engineering 70 (3): 309-322

49. A Brabazon, PB Keenan (2004) A hybrid genetic model for the prediction of corporate failure, Computational Management Science, 2004 – Springer

50. Aytug H, Khouja M, Vergara FE (2003) Use of genetic algorithms to solve production and operations management problems: a review, International Journal of Production Research 41 (17): 3955-4009

51. Barth, M., Damand, D., De Guio, R. (2003) How can we ascertain, understand and interpret the performance level of a production system? A visual method: 'The plan of preferences', Production Planning and Control 14 (3), pp. 233-243

HA Abbass, R Sarker (2002) The Pareto differential evolution algorithm, International Journal on Artificial Intelligence Tools, 11(4), pp531-552 52. BV Babu, AM Gujarathi (2007) Elitist-Multi-Objective Differential Evolution (E-MODE)

Algorithm for Multi0objective Optimization, The 3rd Indian International Conference on Artificial Intelligence, pp441-456

53. D. Cornforth (2007) An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system, Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, pp1732-1739

54. C Kwan, F Yang, C Chang (2007) A Differential Evolution Variant of NSGA II for Real World Multiobjective Optimization, Springer ACAL 2007, LNAI 4828, pp. 345–356

55. K Mitra (2007) Multicriteria Optimal Control of Polypropylene Terepthalate Polymerization Reactor, Materials and Manufacturing Processes, - informaworld.com

56. S Priem-Mendes, JA Gómez-Pulido, MA Vega-Rodríguez (2007) Fast Wide Area Network Design Optimisation Using Differential Evolution, proceedings of International Conference on Advanced Engineering Computing and Applications in Sciences- advcomp07, computer.org

57. MJ Reddy, DN Kumar (2007) Multiobjective Differential Evolution with Application to Reservoir System Optimization, Journal of Computing in Civil Engineering, 21(2), pp.136-146

58. MA Vega-Rodríguez, JA Gómez-Pulido, E Alba, D (2007) Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem, Computer Aided Systems Theory – EUROCAST 2007, Lecture Notes in Computer Science, Springer

59. MA Vega-Rodríguez, JA Gómez-Pulido, E Alba, D (2007) Evaluation of Different Metaheuristics Solving the RND Problem, Lecture Notes in Computer Science, 2007 – Springer

60. YJ Yau, J Teo, P Anthony (2007) Pareto Evolution and Co-evolution in Cognitive Game AI Synthesis, Lecture Notes in Computer Science, 2007 – Springer

61. CAC Coello (2006) Evolutionary multi-objective optimization: a historical view of the field, Computational Intelligence Magazine, IEEE, 2006 - ieeexplore.ieee.org

62. AW Iorio, X Li (2006) Incorporating directional information within a differential evolution algorithm for multi-objective optimization, Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006 - portal.acm.org

63. SP Mendes, JAG Pulido, MAV Rodríguez, MDJ Simon (2006) A Differential Evolution Based Algorithm to Optimize the Radio Network Design Problem, Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (e-Science'06) p. 119e, 2006 - doi.ieeecomputersociety.org

64. BV Babu, B Anbarasu (2005) Multi-Objective Differential Evolution (MODE): An Evolutionary Algorithm for Multi-Objective Problem, Robotics, and Autonomous Systems (CIRAS-2005), December - discovery.bits-pilani.ac.in

65. S Kukkonen, J Lampinen (2005) An empirical study of control parameters for Generalized Differential Evolution, Proceedings of the Sixth Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2005), Munich, Germany, pp1-13

66. A Muetze (2005) Towards a global optimization of electromechanical energy converters via exploitation of convex characteristics, Electric Machines and Drives, 2005 IEEE International Conference on, 2005 - ieeexplore.ieee.org

67. D Neumann, HX de Araujo (2005) Hybrid differential evolution method for the mixed H2/H∞robust control problem under pole assignment, Decision and Control, 2005 and 2005 European Control - ieeexplore.ieee.org

68. LV Santana-Quintero, CAC Coello (2005) An Algorithm Based on Differential Evolution for Multiobjective Problems, International Journal of Computational Intelligence Research, 2005 - ripublication.com

69. J Teo (2005) Differential Evolution with Self-adaptive Populations, Lecture notes in computer science – Springer.

70. S Kukkonen, J Lampinen (2004) An Extension of Generalized Differential Evolution for Multi-objective Optimization with Constraints, Parallel Problem Solving from Nature-PPSN VIII, 2004 – Springer

71. S Kukkonen, J Lampinen (2004) Mechanical Component Design for Multiple Objectives Using Generalized Differential Evolution, Adaptive Computing in Design and Manufacture VI, I. Parmee(ed.), Springer, pp261-272

72. A Iorio, X Li (2004) Solving rotated multi-objective optimization problems using differential evolution, AI 2004: Advances in Artificial Intelligence, Lecture Notes in Computer Science- Springer, pp 861-872

Khan LR, Sarker RA (2002) An optimal batch size for a JIT manufacturing system, Computers & Industrial Engineering, 42(2-4), pp127-136.

73. X. Wang, D. Li and C. O'Brien (2008) Optimisation of traceability and operations planning: an integrated model for perishable food production, International Journal of Production Research, February 2008 – In press


75. Cao WJ, Hu YJ, Li CG, et al. (2007) Single setup multiple delivery model of JIT system, International Journal of Advanced Manufacturing Technology 33 (11-12): 1222-1228.

76. KT Hung, JK Liker (2007) A simulation study of pull system responsiveness considering production condition influences, International Journal of Industrial and Systems Engineering, 2007 – Inderscience, 2 (2), pp. 123-136

77. Kelle P, Miller PA, Akbulut AY (2007) Coordinating ordering/shipment policy for buyer and supplier: Numerical and empirical analysis of influencing factors, International Journal of Production Economics 108 (1-2): 100-110.

78. Kumar CS, Panneerselvam R (2007) Literature review of JIT-KANBAN system, International Journal of Advanced Manufacturing Technology 32 (3-4): 393-408.

79. Siajadi H, Ibrahim RN, Lochert PB (2006) Joint economic lot size in distribution system with multiple shipment policy, International Journal of Production Economics 102 (2): 302-316

80. Siajadi H, Ibrahim RN, Lochert PB (2006) A single-vendor multiple-buyer inventory model with a multiple-shipment policy, International Journal of Advanced Manufacturing Technology 27 (9-10): 1030-1037.

81. J Yang, JS Chen (2006) A study of an integrated inventory model for imperfect production system with backorders, Journal of Industrial and Business Management, 2(1), pp1-6.

82. Kreng VB, Wang IC (2005) Economical delivery strategies of products in a JIT system under a global supply chain, International Journal of Advanced Manufacturing Technology 26 (11-12): 1421-1428.

83. Yang JS, Pan JCH (2004) Just-in-time purchasing: an integrated inventory model involving deterministic variable lead time and quality improvement investment, International Journal of Production Research 42 (5): 853-863.

84. Barth, M., Damand, D., De Guio, R. (2003) How can we ascertain, understand and interpret the performance level of a production system? A visual method: 'The plan of preferences', Production Planning and Control 14 (3), pp. 233-243

HA Abbass, R Sarker, and C Newton (2001) PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems, Evolutionary Computation, Proceedings of the 2001 IEEE, pp971-978 85. S Agrawal, Y Dashora, MK Tiwari, YJ Son (2008) Interactive Particle Swarm: A Pareto-

Adaptive Metaheuristic to Multiobjective Optimization, IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans, 38(2), pp258-277.

86. B Alatas, E Akin, A Karci (2008) MODENAR: Multi-objective differential evolution algorithm for mining numeric association rules, Applied Soft Computing Journal – Elsevier, 8(1), pp646-656

87. BV Babu, R Angira (2008) Optimization of Industrial Processes Using Improved and Modified Differential Evolution, Soft Computing Applications in Industry, Springer Berlin / Heidelberg, Volume 226/2008, pp 1-22

88. Islam, Md.M., Yao, X. (2008) Evolving artificial neural network ensembles, Studies in Computational Intelligence Springer, 115, pp. 851-880

89. Meng, H.-Y., Zhang, X.-H., Liu, S.-Y. (2008) Differential evolution based on double populations for constrained multi-objective optimization problem, Chinese Journal of Computers, Jisuanji Xuebao, 31 (2), pp. 228-235

90. W. Qian and A. li (2008) Adaptive differential evolution algorithm for multiobjective optimization problems, Applied Mathematics and Computation, 2008, corrected proof available, Elsevier

91. X Yao, MM Islam (2008) Evolving artificial neural network ensembles, IEEE Computational Intelligence Magazine, 3(1), pp31-42, - ieeexplore.ieee.org

92. Babu, B.V. (2007) "Improved Differential Evolution for Single- and Multi-Objective Optimization: MDE, MODE, NSDE, and MNSDE". Advances in Computational Optimization and its Applications, Edited by K. Deb, P. Chakroborty, N G R Iyengar, and S. K. Gupta. Universities Press, Hyderabad, pp. 24-30.

93. BV Babu (2007) Simulation and Optimization of Wiped-Film Poly-Ethylene Terephthalate (PET) Reactor Using Multiobjective Differential Evolution (MODE), Materials and Manufacturing Processes, 22: 541–552.

94. Z Cai, W Gong, Y Huang (2007) A Novel Differential Evolution Algorithm Based on ϵ-Domination and Orthogonal Design Method for Multiobjective Optimization, Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science, Springer, pp 286-301

95. Gaoping, W., Liyuan, B. (2007) Game model based co-evolutionary algorithm and its application for multiobjective nutrition decision making optimization problems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4456 LNAI, pp. 177-183

96. Huang, V.L., Qin, A.K., Suganthan, P.N., Tasgetiren, M.F. (2007) Multi-objective optimization based on self-adaptive differential evolution algorithm, 2007 IEEE Congress on Evolutionary Computation, CEC 2007, pp. 3601-3608

97. P Kitak, J Pihler, I Tičar, A Stermecki, O Biró (2007) Potential Control Inside Switch Device Using FEM and Stochastic Optimization Algorithm, IEEE Transactions on Magnetics, 43 (4), pp. 1757-1760 - ieeexplore.ieee.org

98. Liu, B., Wang, L., Jin, Y.-H. (2007) Advances in differential evolution, Control and Decision, Kongzhi yu Juece, 22 (7), pp. 721-729

99. Omran, M.G.H., Engelbrecht, A.P., Salman, A. (2007) Differential evolution based particle swarm optimization, Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007, art. no. 4223163, pp. 112-119

100. M. Rapson (2007) Pareto Analysis of Controller Design Methodologies for Integrator plus Dead Time Processes, EUROCON, 2007. The International Conference on "Computer as a Tool", pp 2607-2612

101. K. Talukder, M. Kirley and R. Buyya (2007) Multiobjective Differential Evolution for Workflow Execution on Grids, Proceedings of the 5th International Workshop on Middleware for Grid Computing (MGC 2007, ACM Press, New York, USA), Nov. 27, 2007, Newport Beach, California, USA

102. T. Tusar and B Filipic (2007) Differential Evolution Versus Genetic Algorithms in Multiobjective Optimization, Lecture Notes in Computer Science, pp 257-271 - Springer

103. G Wang, and L Bai (2007) Game Model Based Co-evolutionary Algorithm and Its Application for Multiobjective Nutrition Decision Making Optimization Problems, Lecture Notes in Computer Science, pp 177-183 - Springer

104. Y Zhao, S Xiong, and N Xu (2007) The Geometry Optimization of Argon Atom Clusters Using Differential Evolution Algorithm, Lecture Notes in Computer Science, LNCS 4490, pp. 1155–1158 – Springer

105. PA Castillo, MG Arenas, JJ Merelo, VM Rivas, G (2006) Multiobjective Optimization of Ensembles of Multilayer Perceptrons for Pattern Classification, Lecture Notes in Computer Science, pp 453-462 – Springer

106. A Chandra, H Chen, X Yao (2006) The Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), Multi-objective Machine Learning, Edited by Y. Jin, Springer, pp429-464.

107. A Chandra, X Yao (2006) Evolving hybrid ensembles of learning machines for better generalisation, Neurocomputing, 69(7-9), pp 686-700 - Elsevier

108. A Chandra, X Yao (2006) Ensemble Learning Using Multi-Objective Evolutionary Algorithms, Journal of Mathematical Modelling and Algorithms, - Springer

109. HY Fan, J Lampinen, Y Levy (2006) An easy-to-implement differential evolution approach for multi-objective optimizations, Engineering Computations: Int J for Computer-Aided Engineering and software, 23(2), pp124-138 - emeraldinsight.com

110. AW Iorio, X Li (2006) Incorporating directional information within a differential evolution algorithm for multi-objective optimization, Proceedings of the 8th annual conference on Genetic and evolutionary computation, pp691-698 - portal.acm.org

111. A Iorio, X Li (2006) Rotationally Invariant Crossover Operators in Evolutionary Multi-objective Optimization, Lecture Notes in Computer Science, pp 310-317- Springer

112. N Karaboga, B Cetinkaya (2006) Design of Digital FIR Filters Using Differential Evolution Algorithm, Circuits, Systems, and Signal Processing, - Springer

113. MM Rai (2006) Single-and Multiple-Objective Optimization with Differential Evolution and Neural Networks, VKI Lecture Series on Optimization Methods & Tools for Multi disciplinary Design, March 6-10, - ase.arc.nasa.gov

114. RQ Sardiñas, P Reis, JP Davim (2006) Multi-objective optimization of cutting parameters for drilling laminate composite materials by using genetic algorithms, Composites Science and Technology, pp 3083-3088 - Elsevier

115. RQ Sardiñas, M Rivas Santana, E Alfonso (2006) Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes, Engineering Applications of Artificial Intelligence, 19, pp127-133 – Elsevier

116. G Wang, and Y Wang (2006) A Game Model Based Co-evolutionary Algorithms for Multiobjective Optimization Problems, Proceedings of the First International Conference on Innovative Computing, Information and Control, Volume-III (ICICIC'06), pp.312-315 - doi.ieeecomputersociety.org

117. Wang, G., Wang, Y. (2006) Game model based co-evolutionary algorithm and its application for multiobjective optimization problems, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 1, pp. 274-277

118. Zhuhong, Z., Xin, T. (2006) Multiobjective evolutionary algorithm based on dynamic encoding and population isolating, Proceedings of the World Congress on Intelligent Control and Automation (WCICA) 1, pp.3227-3231

119. BV Babu, JHS Mubeen, PG Chakole (2005) Multiobjective Optimization Using Differential Evolution, TechGenesis-The Journal of Information Technology, - discovery.bits-pilani.ac.in

120. Babu, B.V., Chakole, P.G., Syed Mubeen, J.H. (2005) Multiobjective differential evolution (MODE) for optimization of adiabatic styrene reactor, Chemical Engineering Science 60 (17), pp. 4822-4837

121. D. De, S. Ray and A. Konar (2004) A Fuzzy Based Dynamic Routing Algorithm: A Q-Learning Intelligent Clonal Selection Approach with SPDE Pareto, International Conference on Computational Intelligence, pp396-399. ALSO D De, S Ray, A Konar, A Chatterjee (2005) A Fuzzy Logic Controller Based Dynamic Routing Algorithm with SPDE based Differential Evolution, GECCO

122. S Kukkonen and J Lampinen (2005) GDE3: The third evolution step of generalized differential evolution, Proceedings of the 2005 Congress on Evolutionary Computation, pp 443-450

123. A Iorio, X Li (2005) Solving rotated multi-objective optimization problems using differential evolution, Proceedings of the 17th Joint Australian Conference on AI, - Springer

124. Z Min, L Xiang-guan, L Shi-hua (2005) An Evolutionary Artificial Neural Networks Approach for BF Hot Metal Silicon Content Prediction, Lecture notes in computer science, pp 374-377 - Springer

125. SSJ Owais, P Kromer and V Snasel (2005) Evolutionary Learning of Boolean Queries by Genetic Programming, Information Retrieval, Ninth East-European Conference on Advances in Databases and Information Systems, Tallinn, Estonia, September 12-15, pp54-65.

126. T Robic, B Filipic (2005) DEMO: Differential Evolution for Multiobjective Optimization, Proceedings of the Conference on Evolutionary Multiobjective Optimization, - Springer, 3410, pp. 520-533

127. Seisie-Amoasi, E., Williams, B.G., Schoen, M.P. (2005) Optimization of a star pattern recognition algorithm for attitude determination using a multi-objective genetic algorithm, American Society of Mechanical Engineers, Dynamic Systems and Control Division, pp. 913-920

128. KC Tan, E Khor, TH Lee (2005) Multiobjective Evolutionary Algorithms and Applications, Springer Book - books.google.com

129. J Teo (2005) Evolutionary Multi-Objective Optimization For Automatic Synthesis Of Artificial Neural Network Robot Controllers, Malaysian Journal of Computer Science, - mjcs.fsktm.um.edu.my

130. Wang, G., Wang, Y. (2005) A game model based co-evolutionary for constrained multiobjective optimization problems, ISCIT 2005 - International Symposium on Communications and Information Technologies 2005, Proceedings II, pp. 181-184

131. Xue, F., Sanderson, A.C., Graves, R.J. (2005) Multi-objective differential evolution - Algorithm, convergence analysis, and applications, 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings 1, pp. 743-750

132. Zhao, M., Liu, X.-G., Luo, S.-H. (2005) An evolutionary artificial neural networks approach for BF hot metal silicon content prediction, Lecture Notes in Computer Science 3610 (PART I), pp. 374-377

133. A Chandra, X Yao (2004) DIVACE: Diverse and accurate ensemble learning algorithm, Proc. 5th Intl. Conference on Intelligent Data Engineering and Automated Learning – IDEAL 2004, Springer Lecture Notes in Computer Science, pp619-625.

134. Iorio, A.W., Li, X. (2004) Solving rotated multi-objective optimization problems using differential evolution, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 3339, pp. 861-872

135. MT Jensen (2004) Helper-objectives: Using multi-objective evolutionary algorithms for single-objective optimisation, Journal of Mathematical Modelling and Algorithms, 2004 – Springer, 3 (4), pp. 323-347

136. D Karaboga and S. Okdem (2004) A Simple and Global Optimization Algorithm for Engineering Problems: Differential Evolution Algorithm, Turk J Elec Engin, 12(1), pp53-60 - journals.tubitak.gov.tr.

137. Kukkonen, S., Lampinen, J. (2004) A differential evolution algorithm for constrained multi-objective optimization: Initial assessment, Proceedings of the IASTED International Conference. Applied Informatics, pp. 96-102

138. NK Madavan (2004) On Improving Efficiency of Differential Evolution for Aerodynamic Shape Optimization Applications, 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization, - pdf.aiaa.org, pp. 3590-3609

139. MM Rai (2004) Robust Optimal Design with Differential Evolution, 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, New York, pp. 3176-3207

140. Rai, M.M. (2004) Robust optimal aerodynamic design using evolutionary methods and neural networks, AIAA Paper, pp. 8913-8939

141. Zaharie, D., Petcu, D. (2004) Adaptive Pareto differential evolution and its parallelization, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3019, pp. 261-268

142. BV Babu, MML Jehan (2003) Differential evolution for multi-objective optimization, Evolutionary Computation, 2003. CEC'03. The 2003 Congress on, pp2696- 2703 - ieeexplore.ieee.org

143. D.W. Corne, K. Deb, P.J. Fleming and J.D. Knowles (2003) The Good of the Many Outweighs the Good of the One: Evolutionary Multi-Objective Optimization, Connections: The Newsletter of the IEEE Neural Networks Society, 1(1), pp. 9-13.

144. MT Jensen (2003) Reducing the run-time complexity of multiobjective EAs: The NSGA-II and other algorithms, Evolutionary Computation, IEEE Transactions on, 2003 - ieeexplore.ieee.org, 7 (5), pp. 503-515

145. F Xue, AC Sanderson, RJ Graves (2003) Pareto-based multi-objective differential evolution, Evolutionary Computation, CEC'03. The 2003 Congress on, - ieeexplore.ieee.org

146. F Xue, AC Sanderson, RJ Graves (2003) Multi-objective differential evolution and its application to enterprise planning, Robotics and Automation, Proceedings ICRA'03. IEEE International Conference on, 2003, pp 3535- 3541.

147. D Zaharie, D Petcu (2003) Adaptive Pareto Differential Evolution and Its Parallelization, Parallel Processing and Applied Mathematics (PPAM), Lecture Notes in Computer Science, pp 261-268 – Springer

148. C. A. C. Coello, D. A. Van Veldhuizen and G. B. Lamont (2002) Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer Academic Publishers, New York, ISBN 0-3064-6762-3

149. D. Zaharie (2002) Critical values for the control parameters of differential evolution algorithms, in: R. Matousek, P. Osmera (Eds.), Proceedings of MENDEL 2002, 8th International Mendel Conference on Soft Computing, Bruno, Czech Republic, pp.62–67.

Sarker R and Haque A (2000) Optimization of maintenance and spare provisioning policy using simulation, Applied Mathematical Modelling 24 (10): 751-760 150. S. Cavalieri, M. Garetti, M. Macchi and R. Pinto (2008) A decision-making framework for

managing maintenance spare parts, Production Planning & Control, 19(4), pp379–396, informaworld.com

151. D Tsakatikas, S Diplaris, M Sfantsikopoulos (2008) Spare parts criticality for unplanned maintenance of industrial systems, European J. Industrial Engineering, 2(1), pp94-107, inderscience.com

152. RK Sharma, D Kumar, P Kumar (2008) Application of fuzzy methodology to build process reliability: a practical case, International Journal of Product Development, 5(1/2), pp125-152, inderscience.com

153. Wang, L., Chu, J., Mao, W. (2008) A condition-based order-replacement policy for a single-unit system, Applied Mathematical Modelling 32 (11), pp. 2274-2289

154. Ilgin MA, Tunali S (2007) Joint optimization of spare parts inventory and maintenance policies using genetic algorithms, International Journal of Advanced Manufacturing Technology 34 (5-6): 594-604

155. Xiaoli, Z. (2007) Availability based spare optimization using genetic algorithms, 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007, pp. 4594-4596

156. X. Zou (2007) Availability Based Spare Optimization Using Genetic Algorithms, Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on, pp4594-4596

157. M-C. Chen, C-M. Hsu and S-W Chen (2006) Optimizing Joint Maintenance and Stock Provisioning Policy for Multi-Echelon Spare Parts Logistics Network, Journal of the Chinese Institute of Industrial Engineers, 23(4), pp289-302.

158. A Garg, and SG Deshmukh (2006) Maintenance management: literature review and directions, Journal of Quality in Maintenance Engineering, 12(3), pp205 - 238

159. Macchi M, Garetti M (2006) Information requirements for e-maintenance strategic planning: A benchmark study in complex production systems, Computers in Industry 57 (6): 581-594

160. B Ghodrati, U Kumar (2005) Operating environment-based spare parts forecasting and logistics: a case study, International Journal of Logistics Research and Applications, 8(2), pp 95 - 105

161. B Ghodrati and U Kumar (2005) Reliability and operating environment-based spare parts estimation approach: A case study in Kiruna Mine, Sweden, Journal of Quality in Maintenance Engineering, 11(2) pp.169-184

162. Z Xiaoli, Y Jianhui (2005) Renewal Process Based Spare Optimization Using Genetic Algorithms, 35th International Conference on Computers and Industrial Engineering, pp2089-2093.

163. de Smidt-Destombes KS, van der Heijden MC, van Harten A (2004) On the availability of a k-out-of-N system given limited spares and repair capacity under a condition based maintenance strategy, Reliability Engineering & System Safety 83 (3): 287-300

164. S. Mathew (2004) Optimal inspection frequency: A tool for maintenance planning/forecasting, International Journal of Quality & Reliability Management, 21(7), pp 763 – 771.

165. SPF Schouten, P van Gelder, HJ van der Graaf (2003) Replacement strategies of large numbers of similar components in hydraulic structures, European Safety and Reliability Conference: Proceedings of ESREL 2003, pp1415-1423.

166. Choi JW, Kim YH, Park YT, et al. (2002) Agent-based product-support logistics system using XML and RDF, International Journal of Systems Science 33 (6): 467-484

Sarker RA, and Khan LR (1999) An optimal batch size for a production system operating under periodic delivery policy, Computers & Industrial Engineering, 37 (4): 711-730

167. X. Wang, D. Li and C. O'Brien (2008) Optimisation of traceability and operations planning: an integrated model for perishable food production, International Journal of Production Research, February 2008 – In press


169. D Shin (2008) A stochastic model for the optimal batch size in multi-step operations with process and product variability, International Journal of Production Research.

170. Ojha D, Sarker BR, Biswas P (2007) An optimal batch size for an imperfect production system with quality assurance and rework, International Journal of Production Research 45 (14): 3191-3214

171. H Wang, D Liu, H Dinge (2007) Planning for supply chain with seasonal variable delivery time, Industrial Engineering and Engineering Management, 2007 IEEE Int. Conf. on, pp 1563-1567, - ieeexplore.ieee.org


173. Siajadi H, Ibrahim RN, Lochert PB (2006) A single-vendor multiple-buyer inventory model with a multiple-shipment policy, International Journal of Advanced Manufacturing Technology 27 (9-10): 1030-1037

174. Feng DZ, Yamashiro M (2005) Optimal production policy for a two-stage production system under lumpy demand, Lecture Notes in Computer Science, Advances in Artificial Intelligence 3809: 1173-1179

175. Feng DZ, Yamashiro M (2005) Optimal production policy for a manufacturing system with volume flexibility in a supply chain under lumpy demand, International Journal of Advanced Manufacturing Technology 25 (7-8): 777-784 2005

176. Roy S, Bhunia AK, Mukhopadhyay S (2005) A genetic algorithmic approach on a deterministic inventory model for deteriorating items with shortages, INFOR 43 (3): 271-282

177. DZ Feng, and M Yamashiro (2004) Operations Planning for a Two-stage Production System under Lumpy Demand, IEEE Proceedings 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, September28 - October 2,2004, pp1257-1262, ieeexplore.ieee.org

178. DZ Feng, M Yamashiro, and L Zhang (2004) Economic manufacturing quantity in a two-stage production system under periodic delivery policy, SICE 2004 Annual Conference, 2004, pp 2149-2154

179. Goyal SK, Cardenas-Barron LE (2003) Note on: An optimal batch size for a production system operating under periodic delivery policy, Computers & Industrial Engineering 44 (1): 191-192

180. Omar M, Smith DK (2002) An optimal batch size for a production system under linearly increasing time-varying demand process, Computers & Industrial Engineering 42 (1): 35-42

Rahman SM, Sarker R, and Bignall B (1999) Application of multimedia technology in manufacturing: a review, Computers In Industry, 38 (1): 43-52 181. YL Lai (2008) A constraint-based system for product design and manufacturing,

Robotics and Computer Integrated Manufacturing, 2008 (In press) 182. Butcher T, Greenough RM (2007) Information systems support for CNC machinists:

Evaluating the impact of information technology at the shop floor, Human Factors and Ergonomics in Manufacturing 17 (3): 299-314

183. Wang QY, Tian L (2007) A systematic approach for 3D VRML model-based assembly in Web-based product design, International Journal of Advanced Manufacturing Technology, 33 (7-8): 819-836 JUL 2007

184. MM Bouamrane, S Luz (2006) Navigating Multimodal Meeting Recordings with the Meeting Miner, Proceedings of flexible query answering systems, FQAS, – Springer, 4027 LNAI, pp. 356-367

185. Zhong, Y Zhang, L Lin, W Liu, D Su (2005) Development of a Web-based collaborative manufacturing system for parallel kinematic machines, Computer Supported Cooperative Work in Design, 2005. Proceedings of the Ninth International Conference on, pp 667- 672.

186. Lan HB, Ding YC, Hong J, et al. (2004) A web-based manufacturing service system for rapid product development, Computers in Industry 54 (1): 51-67

187. Galantucci LM, Percoco G, Spina R (2003) Telemanufacturing of reverse engineered parts: a case study, Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture 217 (5): 727-731

188. C Saygin (2003) A Generic Control Architecture for Web-Based Manufacturing, 2003 ASEE Annual Conference & Exposition: Staying in Tune, ASEE Annual Conference Proceedings, pp. 6867-6873

189. Tay FEH, Roy A (2003) CyberCAD: a collaborative approach in 3D-CAD technology in a multimedia-supported environment, Computers in Industry 52 (2): 127-145

190. Tian GY, Yin GF, Taylor D (2002) Internet-based manufacturing: A review and a new infrastructure for distributed intelligent manufacturing, Journal of Intelligent Manufacturing 13 (5): 323-338

191. Z Haixia, W Huapeng, L Jungang, C Darong (2000) Collaborative design system for performance, Research Challenges, 2000. Proceedings. Academia/Industry, ieeexplore.ieee.org

Zahir S and Sarker R (1991) Joint Economic Ordering Policies of Multiple Wholesalers and a Single Manufacturer with Price-Dependent Demand-Functions, Journal of the Operational Research Society, 42 (2): 157-164 192. Sarmah SP, Acharya D, Goyal SK (2008) Coordination of a single-manufacturer/multi-

buyer supply chain with credit option, International Journal of Production Economics, 111(2) pp676-685

193. Sarmah SP, Acharya D, Goyal SK (2006) Buyer vendor coordination models in supply chain management, European Journal of Operational Research 175 (1): 1-15


195. W Zhao, Y Wang (2002) Coordination of joint pricing-production decisions in a supply chain, IIE Transactions (Institute of Industrial Engineers) 34 (8), pp. 701-715

196. Gurnani H (2001) A study of quantity discount pricing models with different ordering structures: Order coordination, order consolidation, and multi-tier ordering hierarchy, International Journal of Production Economics 72 (3): 203-225

197. C Lin, SY Shen, YJ Yeh, JR Ding (2001) Dynamic optimal control policy in advertising price and quality, International Journal of Systems Science, 32 (2), pp. 175-184

198. Sharafali M, Co HC (2000) Some models for understanding the cooperation between the supplier and the buyer, International Journal of Production Research 38 (15): 3425-3449

199. Kim J, Hwang H, Shinn S (1995) An Optimal Credit Policy to Increase Suppliers Profits With Price-Dependent Demand-Functions, Production Planning & Control 6(1): 45-50

200. HC Co, J Zhu (1995) A note on the problem of scheduling a flexible manufacturing system for Just-in-time customers, International Journal of Production Research, - informaworld.com

Sarker R and Abbass HA (2004) Differential evolution for solving multiobjective optimization problems, Asia-Pacific Journal of Operational Research, 21(2), 225-240. 201. Alatas B, Akin E, Karci A (2008) Modenar: Multi-objective differential evolution algorithm

for mining numeric association rules, Applied Soft Computing 8 (1): 646-656. 202. Khorsand, A.-R., Wang, G.G., Raghavan, J. (2007) Non-dominated sorting genetic

quantum algorithm for multi-objective optimization, 2007 Proceedings of the ASME

International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC2007 6 PART A, pp. 307-315.

203. H. Inoue and M. Gen (2006) Study of Effectivity of Multi-objective Multi-stage SCM Network Design by a Random Key based GA using Adaptive-weight Method, Proceedings of the 10th Asia-Pacific Workshop on Intelligent and Evolutionary Systems, pp93-108.


205. A Sokolov, A Sanyal, D Whitley, Y Malaiya (2005) Dynamic power minimization during combinational circuit testing as a traveling salesman problem, Evolutionary Computation, The 2005 IEEE Congress on, pp1088-1095, ieeexplore.ieee.org

206. M Gen and L Lin (2004) Multiobjective hybrid genetic algorithm for bicriteria network design problem, The 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Cairns, 6-7 December, pp73-82.

R Sarker, HA Abbas, and C Newton (2001) Solving multiobjective optimization problems using evolutionary algorithm, The International Conference on Computational Intelligence for Modelling, Control and Automation CIMCA'2001, Las Vegas, USA, July 2001, pp149-160. 207. N Zribi, I Kacem, A El Kamel, P Borne (2007) Assignment and Scheduling in Flexible

Job-Shops by Hierarchical Optimization, IEEE Transactions on Systems, Man, and Cybernetics—Part C, 2007 - ieeexplore.ieee.org

208. N Zribi, I Kacem, A EL KAMEL, and P Borne (2004) Optimization by Phases for the Flexible Job-shop Scheduling Problem, The 5th Asian Control Conference - ascc2004.ee.mu.oz.au

209. I Kacem (2003) Scheduling Flexible Job-Shops: A Worst Case Analysis And An Evolutionary Algorithm, International Journal of Computational Intelligence and applications, 2003 - worldscinet.com

210. I Kacem, S Hammadi, P Borne (2003) Fuzzy Evolutionary Approach for Multiobjective Combinatorial Optimization: Application to Scheduling Problems, Fuzzy Sets Based Heuristics for Optimization, 2003 - books.google.com

211. I Kacem, S Hammadi, and P Borne (2002) Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems, Systems, Man and Cybernetics, Part C, IEEE Transactions on, 2002 - ieeexplore.ieee.org

Sarker RA, and Quaddus MA (2002) Modelling a nationwide crop planning problem using a multiple criteria decision making tool, Computers & Industrial Engineering, 42 (2-4): 541-553 212. Sharma, D.K., Gaur, A., Ghosh, D. (2008) Goal programming model for agricultural land

allocation problems, International Journal of Modelling and Simulation, 28 (1), pp.43-48 213. Nidumolu UB, van Keulen H, Lubbers M, (2007) Combining Interactive Multiple Goal

Linear Programming with an inter-stakeholder communication matrix to generate land use options, Environmental Modelling & Software 22 (1): 73-83

214. RK Jana (2007) Fuzzy Goal Programming for Agricultural Land Allocation Problems, Yugoslav Journal of Operations Research, 17(1), pp31-42

Sarker R, and Newton C (2001) Solving a Multiple Objective Linear Program using simulated annealing, Asia-Pacific Journal of Operational Research, 18 (1): 109-120

215. Doerner, K.F., Gutjahr, W.J., Hartl, R.F., Strauss, C., Stummer, C. (2008) Nature-

inspired metaheuristics for multiobjective activity crashing, Omega, 36(6), pp1019-1037 216. Stummer C and Sun MH (2005) New multiobjective metaheuristic solution procedures

for capital investment planning, Journal of Heuristics 11(3): 183-199 Sarker RA, Talukdar S, and Haque AFMA (1997) Determination of optimum crop mix for crop cultivation in Bangladesh, Applied Mathematical Modelling, 21 (10): 621-632 217. Martinez-Casasnovas JA, Martin-Montero A, Casterad MA (2005) Mapping multi-year

cropping patterns in small irrigation districts from time-series analysis of Landsat TM images, European Journal of Agronomy 23 (2): 159-169

Sarker RA, and Gunn EA (1997) A simple SLP algorithm for solving a class of nonlinear programs, European Journal of Operational Research, 101(1), 140-154 218. Wilson DP, Blower SM (2005) Designing equitable antiretroviral allocation strategies in

resource-constrained countries, Plos Medicine 2 (2): 132-141 219. Cheng J, Zhou JH, Liu JZ, et al. (2003) Sulfur removal at high temperature during coal

combustion in furnaces: a review, Progress in Energy and Combustion Science 29 (5): 381-405

Sarker RA, Khan LR (2001) An optimal batch size under a periodic delivery policy, International Journal of Systems Science, 32(9), 1089-1099. 220. Hou KL, Lin LC (2006) An EOQ model for deteriorating items with price- and stock-

dependent selling rates under inflation and time value of money, International Journal of Systems Science 37 (15): 1131-1139

221. H Wang, D Liu, H Dinge (2007) Planning for supply chain with seasonal variable delivery

time, Industrial Engineering and Engineering Management, 2007 IEEE Int. Conf. on, pp 1563-1567, - ieeexplore.ieee.org

R Sarker, J Kamruzzaman, C Newton (2003) Evolutionary Optimization (EvOpt) - A brief review and analysis, International Journal of Computational Intelligence and Applications, 3(4), pp311-330.

222. T Kowaliw, N Kharma, C Jensen, H MOGHNIEH, J YAO (2005) Using competitive co-evolution to evolve better pattern recognizers, International Journal of Computational Intelligence and Applications, 5(3), pp305-320 - worldscinet.com

R Sarker, T Runarsson, C Newton (2001) Genetic Algorithms for Solving a Class of Constrained Nonlinear Integer Programs, International Transactions in Operational Research, 8(1), pp61-74.

223. Y Chan, JM Mahan, JW Chrissis, DA Drake, D Wang (2008) Hierarchical maximal-coverage location–allocation: Case of generalized search-and-rescue, Computers and Operations Research – Elsevier, 35(6), pp1886-1904.

J Kamruzzaman, RA Sarker (2004) ANN-Based Forecasting of Foreign Currency Exchange Rates, Neural Information Processing, 3(2), pp49-58.

224. H He, X Shen (2007) Bootstrap Methods for Foreign Currency Exchange Rates Prediction, Neural Networks, 2007. IJCNN 2007. International Joint Conference on, pp1272-1277, ieeexplore.ieee.org

225. H He, JA Starzyk (2007) Online Dynamic Value System for Machine Learning, Lecture Notes in Computer Science, Vol-4491, Springer, pp441-448

226. SM Ahmad, N El Gayar, HYA Elazim (2007) A fuzzy engine model for financial market prediction, WSEAS Transactions on Information Science and Applications, 4 (2), pp. 362-368

227. SM Ahmad, N El Gayar, HYA Elazim (2006) A fuzzy engine model for efficient stock market prediction, Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, pp217-222

Kamruzamman, J. And Sarker, R. (2003) Forecasting Of Currency Exchange Rates Using ANN: A Case Study, IEEE International Conference On Neural Networks & Signal Processing (ICNNSP03), December 12-15, Nanjing, China, pp793-797.

228. SC Huang and TK Wu (2008) Combining wavelet-based feature extractions with

relevance vector machines for stock index forecasting, Expert Systems, 25(2), pp133-149

229. H He, X Shen (2007) Bootstrap Methods for Foreign Currency Exchange Rates Prediction, Neural Networks, 2007. IJCNN 2007. International Joint Conference on, 12-17 Aug. 2007, pp1272-1277, ieeexplore.ieee.org

230. C Ullrich, D Seese, S Chalup (2007) Foreign Exchange Trading with Support Vector Machines, Advances in Data Analysis, pp 539-546, Springer

Sarker, R. (2003) Evolutionary Algorithms for Optimization: Do We Get Effective Solutions? IEEE International Conference on Neural Networks & Signal Processing (ICNNSP03), December 12-15, Nanjing, China, pp404-408

231. Y Yongquan, H Ying, W Minghui, Z Bi, Z Guokun (2004) Fuzzy neural PID controller and tuning its weight factors using genetic algorithm based on different location crossover, Systems, Man and Cybernetics, 2004 IEEE International Conference on, Vol-4, pp3709- 3713.

Q Jiang, R Sarker, H Abbass (2005) Tracking moving targets and the non-stationary traveling salesman problem, Complexity International, 11, pp171-179.

232. GN Mercer, SI Barry, DO Marlow, P Kilby (2008) Investigating the effect of detection and classification range and aircraft dynamics on a simplified maritime surveillance scenario, ANZIAM Journal, 49, ppC475-492 (also Proceedings of the 8th Biennial EMAC 2007) anziamj.austms.org.au

233. BF Al-Dulaimi, HA Ali (2008) Enhanced Traveling Salesman Problem Solving by Genetic Algorithm Technique (TSPGA), Proceedings of the World Academy of Science, Engineering and Technology, Volume 28, pp296-302

234. DO Marlow, P Kilby, GN Mercer (2007) The travelling salesman problem in maritime surveillance--techniques, algorithms and analysis, Proceedings of the International Congress on Modelling and Simulation (MODSIM2007), pp684-690 - mssanz.org.au

R Sarker, HA Abbass, S Karim An evolutionary algorithm for constrained multiobjective optimization problems, The 5th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems (AJWIS2001), Dunedin, New Zealand, Nov. 2001, pp113-122.

235. Z Zhang (2007) Immune optimization algorithm for constrained nonlinear multiobjective optimization problems, Applied Soft Computing Journal, 2007 – Elsevier

236. M Ebner (2007) Estimating the spectral sensitivity of a digital sensor using calibration targets, Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2007 - portal.acm.org

237. O.B. Augusto, S. Rabeau, Ph. Dépincé and F. Bennis (2006) Multi-objective genetic algorithms: A way to improve the convergence rate, Engineering Applications of Artificial Intelligence, 19(5), pp501-510

A Yang, HA Abbass, R Sarker and M Barlow (2005) Network Centric Multi-Agent Systems: A Novel Architecture, Working Paper – - itee.adfa.edu.au

238. T Honda, H Sato, A Namatame (2006) Evolutionary Learning in Agent-Based Combat Simulation, Lecture Notes in Computer Science, – Springer

239. A Olligschlaeger (2007) Beyond Hierarchies: Toward a Universal Crisis Network, Policing and Mass Casuality Events: Volume 3 of the Proceedings of the Futures Working Group, pp40-55 - policefuturists.org

A Yang, HA Abbass, R Sarker (2004) Landscape dynamics in multi-agent simulation combat systems, Proceedings of 17th Joint Australian Conference on AI, Lecture Notes in Computer Science, pp 39-50 - Springer

240. KJ Kim, SB Cho (2006) A Comprehensive Overview of the Applications of Artificial Life, Artificial Life, 12(1), pp 153-182 - MIT Press

R Sarker, C Coello (2002) Assessment Methodologies for Multiobjective Evolutionary Algorithms, Evolutionary Optimization, - R. Sarker, M. Mohammadian and X. Yao (edited), Springer, Boston, pp177-195.


242. L Bui, D. Essam, H. Abbass and D Green (2005) Performance Analysis of Evolutionary Multi-objective Optimization Methods in Noisy Environments, Complexity International, http://journal-ci.csse.monash.edu.au/ci/vol11/, pp29-39

243. KH Ang, G Chong and Y Li (2004) Visualization Technique for Analyzing Non-Dominant Pareto Optimality, Recent Advances in Simulated Evolution and Learning, Advances in Natural Computation, World Scientific, pp327-346.

244. M Gen and L Lin (2004) Multiobjective Hybrid Genetic Algorithm for Bicriteria Network Design Problem, The 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Cairns, 6-7 December, pp73-82.

245. L Bui, D. Essam, H. Abbass and D Green (2004) Performance Analysis of Evolutionary Multi-objective Optimization Methods in Noisy Environments, The 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Cairns, 6-7 December, pp29-39

M Hassan, R Sarker, M Atiquzzaman (1998) Modeling IP-ATM gateway using M/G/1/N queue, Global Telecommunications Conference, 1998. GLOBECOM 98. The IEEE, 1998 - ieeexplore.ieee.org

246. J Liu, J Liao, X Zhu (2007) A Password-Based Authentication and Key Establishment Scheme for Mobile Environment, - Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07) pp. 99-104, 2007 - doi.ieeecomputersociety.org

247. Shuang, K., Yang, F.-C. (2007) Performance analysis of softswitch based on non-preemptive priority message queuing system, Journal of Electronics and Information Technology, 29 (8), pp. 1970-1973

248. YA Kim, JK Choi (2002) Analysis of the End-to-End Protection and Restoration Algorithm in the IP over WDM Network, Lecture Notes In Computer Science, - Springer

249. L Atzori, M Isola (2003) A traffic scaling approach to speed up network simulations, Global Telecommunications Conference, 2003. GLOBECOM'03, - ieeexplore.ieee.org

J Kamruzzaman, RA Sarker, I Ahmad (2003) SVM based models for predicting foreign currency exchange rates, Data Mining, 2003. ICDM 2003. Third IEEE International, 2003 - ieeexplore.ieee.org

250. S Chalup and A Mitschele (2008) Kernel Methods in Finance, Handbook on Information Technology in Finance, Springer, pp 655-687

251. D Lemire (2007) A Better Alternative to Piecewise Linear Time Series Segmentation, Arxiv preprint cs.DB/0605103, 2006, To appear in SIAM Data Mining - arxiv.org

252. JF Yang, YJ Zhai, DP Xu, P Han (2007) SMO Algorithm Applied in Time Series Model Building and Forecast, Machine Learning and Cybernetics, 2007 International Conference on, - ieeexplore.ieee.org

253. H He, X Shen (2007) Bootstrap Methods for Foreign Currency Exchange Rates Prediction, Neural Networks, 2007. IJCNN 2007. International Joint Conference on, - ieeexplore.ieee.org

254. C Ullrich, D Seese, S Chalup (2007) Foreign Exchange Trading with Support Vector Machines, Advances in Data Analysis, Advances in Data Analysis, Springer, pp539-546

255. Walgampaya, C., Kantardzic, M. (2006) Selection of distributed sensors for multiple time series prediction, IEEE International Conference on Neural Networks - Conference Proceedings, pp.3152-3158

H Abbass, R Sarker (2001) Simultaneous evolution of architectures and connection weights in ANNs, The Artificial Neural Networks and Expert Systems Conference (ANNES2001), Dunedin, New Zealand, Nov. 2001, pp16-21.

256. Delgado, M., Cuellar, M. P., and Pegalajar, M. C. (2008) Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks, Systems, Man, and Cybernetics, Part B, IEEE Transactions on, Accepted for publication

257. JE Fieldsend, S Singh (2005) Pareto evolutionary neural networks, - Neural Networks, IEEE Transactions on, 2005 - ieeexplore.ieee.org

258. K Davoian, WM Lippe (2006) A new self-adaptive EP approach for ANN weights training, Proc. of 2006 International Conference on Neural Networks, … - waset.org

RA Sarker, MFA Kazi (2003) Population Size, Search Space and Quality of Solution: An Experimental Study, Evolutionary Computation, CEC'03. The 2003 IEEE Congress on, pp2011-2018 - ieeexplore.ieee.org

259. Ortiz-García, E.G., Salcedo-Sanz, S., Pérez-Bellido, A.M., Portilla-Figueras, A. (2007) A hybrid hopfield network-genetic algorithm approach for the lights-up puzzle, 2007 IEEE Congress on Evolutionary Computation, CEC2007, pp. 1403-1407

260. P Pulkkinen, H Koivisto (2007) Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms, International Journal of Approximate Reasoning, 48(2), pp526-543 Elsevier

261. J Teo (2006) Exploring dynamic self-adaptive populations in differential evolution, Soft Computing-A Fusion of Foundations, Methodologies and Applications, Springer, 10(8), pp 673-686

262. J Teo (2005) Differential evolution with self-adaptive populations, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3681 LNAI, pp. 1284-1290

263. J Teo and Y Hamid (2005) A parameterless differential evolution optimizer, Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation, pp330-335.

264. Teo, J., Hamid, M.Y. (2005) Investigating the search quality, population dynamics and evolutionary dynamics of a parameterless differential evolution optimizer, WSEAS Transactions on Systems, 4 (11), pp. 1993-2000

Sarker, R. (2002) Note on: “An optimal batch size for a production system operating under periodic delivery policy”, International Journal of Production Economics, Elsevier Science, 77/1, pp.89-90. 265. Siajadi H, Ibrahim RN, Lochert PB (2006) Joint economic lot size in distribution system

with multiple shipment policy, International Journal of Production Economics 102 (2): 302-316

Sarker, R. and Khan, L. (2002) “A Reply to “Note on: An Optimal Batch Size for a Production System Operating under Periodic Delivery System”, Computers & Industrial Engineering, 44/1, pp193-195. 266. Siajadi H, Ibrahim RN, Lochert PB (2006) Joint economic lot size in distribution system


Sarker, R., Runarsson, T. and Newton (2001) "A Constrained Multiple Raw Materials Manufacturing Batch Sizing Problem", International Transaction in Operational Research, 8(2), pp121-138. 267. Siajadi H, Ibrahim RN, Lochert PB (2006) Joint economic lot size in distribution system


TP Runarsson, R Sarker, MT Jonsson (2000) Constrained nonlinear integer programming, self-adaptation and evolution strategies , International Journal of Knowledge-Based Intelligent Engineering Systems , 4(3), pp164-171.

268. T Wong, P Bigras (2003) Structured Controller Design with Evolutionary Optimization, International Conference on Artificial Intelligence and Applications, pp. 163-168, Benalmadena, Spain, September, 2003.

R Sarker, TP Runarsson, C Newton (2000) Evolutionary Computation and Constrained Optimization, In New Frontiers in Computational Intelligence and its Applications, IOS Press, pp142-154.

269. K Laabidi, F Bouani, M Ksouri (2008) Multi-criteria optimization in nonlinear predictive control, Mathematics and Computers in Simulation, 76(5-6), pp363-374.

270. Bouani, F., Abidi, K., Ben Abdennour, R., Ksouri, M. (2002) Neural networks and genetic algorithms for dynamic systems control, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2, pp. 656-660

R Sarker, C Newton (2000) Solving a multiple objective linear program using simulated annealing, Proc. of APORS, 2000, Singapore

271. C Stummer, M Sun (2005) New Multiobjective Metaheuristic Solution Procedures for Capital Investment Planning, Journal of Heuristics, 11: 183–199 - Springer,

272. S Routroy, R Kodali (2006), Decision framework for capacity decision in a supply chain, International Journal of Agile Systems and Management, 4(1), pp436-449 - Inderscience

R Sarker, H Abbass, C Newton (2002), Introducing Data Mining and Knowledge Discovery, Heuristic and Optimization for Knowledge Discovery, 2002

273. A PONS-PORRATA, GS Dıaz, ML Cortes, LA Ramırez (2005) An Incremental Clustering Algorithm Based on Compact Sets with Radius α, Lecture notes in computer science, pp 518-527 – Springer

R Sarker, K Liang, C Newton (2000) A multiobjective evolutionary algorithm, International Computer Science Convention (ICSC) Congress on Intelligent Systems and Applications (ISA’2000), December 12-15, Wollongong, Australia, vol.-2, pp125-131.

274. K Weinert, T Surmann, J Mehnen (2002) Parallel Surface Reconstruction, Genetic Programming: 5th European Conference, Eurogp 2002, …, - books.google.com

R. A. Sarker (2000) A Note on Production Capacity Planning and Control in Multi-Stage Manufacturing, Journal of the Operational Research Society, 51(5), pp. 639-640

275. Gunasekaran, A. (2000) Reply to Sarker, Journal of the Operational Research Society, 51(5), pp. 640-641

RA Sarker, ANM Karim, A Haque (1995) An optimal batch size for a production system operating under a continuous supply/demand, International Journal of Industrial Engineering, 2(3), pp189-198. 276. M. Omar and S. S. Supadi (2008) An integrated production system for a single

installment policy of raw material, Malaysian Journal of Science 27 (1), pp.143-151

277. M Omar, DK Smith (2002) An optimal batch size for a production system under linearly increasing time-varying demand process, Computers & Industrial Engineering 42 (1): 35-42 – Elsevier

J Kamruzzaman, RA Sarker (2004), Application of Support Vector Machine to Forex Monitoring, IEEJ Trans. on Elect., Info & Sys., 124-C(10), pp1944-1951 - sciencelinks.jp 278. C Ullrich, D Seese, S Chalup (2007) Foreign Exchange Trading with Support Vector

Machines, Advances in Data Analysis, Springer, pp 539-546

AKMN Amin, RA Sarker, M Ahmed, and ANM Karim (1998) Selection of cemented carbide turning tools using EMF and optimization criteria, Journal of Materials Processing Technology, vol.-77, pp59-63 .

279. Lan, T.-S., Lo, C.-Y., Chiu, M.-C., Yeh, L.-J. (2008) Dynamic material removal rate and tool replacement optimization with calculus of variations, Journal of Applied Sciences, 8 (7), pp. 1242-1248

280. TS Lan, KS Hsu, and TT Chu (2005) Optimum operation control for multiple machining projects under fixed production interval, Journal of Statistics & Management Systems, 8(3), pp493-504.

281. Lan, T.-S., Yeh, L.-J. (2003) Dynamic modeling and approach of optimum MRR and tool life control, International Journal of Industrial Engineering : Theory Applications and Practice, 10 (4), pp. 628-635

282. LJ Yen, TS Lan (2003) Optimum MRR Controland and Production Due-Date Assignment For Multiple Machining Projects in a Deterministic Interval, Journal of the Chinese Institute of Industrial Engineers, 20(5), pp511-521 - jciie.ciie.org.tw

283. Lan, T.-S., Yeh, L.-J. (2002) Optimum material removal control with tool life determination for machining operation, Journal of Materials Processing and Manufacturing Science, 10 (4), pp. 219-228

RA Sarker, MR Syed (2000), Economics of EDI Investments, Electronic Commerce: Opportunities and Challenges, Chapter 10, Idea Group Publishing (USA), pp152-170.

284. G Bergendahl, Investment in Electronic Commerce, XXX Meeting of Euro Working Group on Financial Modeling.

285. Bergendahl G (2005) Models for investment in electronic commerce - Financial perspectives with empirical evidence, OMEGA-International Journal of Management Science, 33(4), pp363-376

R. Sarker and X. Yao (2003) Simulated Annealing for Solving a Manufacturing Batch-Sizing Problem, International Journal of Operations and Quantitative Management, USA, 9(1), pp65-80.

286. Hou KL, Lin LC (2006) An EOQ model for deteriorating items with price- and stock-dependent selling rates under inflation and time value of money, International Journal of Systems Science, 37(15), 1131-1139.

R Sarker and T Ray (2005) Multiobjective Evolutionary Algorithms for solving Constrained Optimization Problems, International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA2005), IEEE Press, pp197-202.

287. N Young and R Stonier (2006) Blended Rank Evolutionary Algorithm for the Constrained Multiobjective Crop Rotation Problem, Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA2006), 2006 - doi.ieeecomputersociety.org

R Sarker, M Mohammadian, and X Yao (2002) Evolutionary Optimization, Springer Book 288. A Azzini and AGB Tettamanzi (2008) Evolutionary Single-Position Automated

Trading, Applications of Evolutionary Computing, Springer LNCS- 4974, pp62-72 289. SO Kimbrough, GJ Koehler, M Lu, DH Wood (2008) On a feasible–infeasible two–

population (FI-2Pop) genetic algorithm for constrained optimization: Distance Tracing and No Free Lunch, European Journal of Operational Research, 190(2), pp310-327

290. T Kellegöz, B Toklu, J Wilson (2007) Comparing efficiencies of genetic crossover operators for one machine total weighted tardiness problem, Applied Mathematics and Computation, Elsevier, 199(2), pp 590-598

291. V Cutello, G Nicosia, E Pavia (2006) A Parallel Immune Algorithm for Global Optimization, Advances in Soft Computing, Springer, pp 467-475

292. Lin CKY, Kwok RCW (2006) Multi-objective metaheuristics for a location-routing problem with multiple use of vehicles on real data and simulated data, European Journal of Operational Research, 175(3), pp1833-1849

293. Martinez-Estudillo AC, Hervas-Martinez C, Martinez-Estudillo FJ (2006) Hybridization of evolutionary algorithms and local search by means of a clustering method IEEE Transactions On Systems Man And Cybernetics Part B-Cybernetics, 36(3), 534-545

294. F. Hillier and G. Lieberman (2005) Introduction to Operations Research, McGraw Hill, p654.

295. Samaniego L, Bardossy A (2005) Robust parametric models of runoff characteristics at the mesoscale, Journal of Hydrology, 303(1-4), 136-151

296. J. Schönberger (2005) Operational Freight Carrier Planning: Basic Concepts, Optimization Models and Advanced Memetic Algorithms, GOR-Publications, p159.

297. Amante, H Terashima-MarIn (2004) Adaptive Penalty Weights When Solving Congress Timetabling, Advances in Artificial Intelligence--IBERAMIA 2004, Springer LANI-3315, pp144-153.

298. KH Ang, G Chong and Y Li (2004) Visualization Technique For Analyzing Non-Dominant Pareto Optimality, Recent Advances in Simulated Evolution and Learning, Advances in Natural Computation, World Scientific, pp327-346.

299. LT Bui, D Essam, HA Abbass, D Green (2004) Performance Analysis of Evolutionary Multi–Objective Optimization in Noisy Environments, Complexity International, 11, pp1-11.

300. LT Bui, D Essam, HA Abbass, D Green (2004) Performance analysis of evolutionary multi–objective optimization methods in noisy environments, Proceedings of the 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2004), pp29-39.

301. DA Huerta-Amante, H Terashima-Marin (2004) Adaptive Penalty Weights When Solving Congress Timetabling, Lecture notes in computer science – Springer, pp 144-153

302. T Terano, K Naitoh (2004) Agent-based modeling for competing firms: from balanced-scorecards to multi-objective strategies, Proceedings of the 37th Annual Hawaii Int. Conf. on System Sciences, - ieeexplore.ieee.org

303. P Chand, LF Sugianto (2003) Horizon-Scan-A Heuristic Search Technique, Design and Application of Hybrid Intelligent Systems, International Conference on Hybrid Intelligence Systems, IOS Press, pp291-300.

304. AE Eiben, JE Smith (2003) Introduction to Evolutionary Computing, Natural Computing Series, Springer, p288.

305. SO Kimbrough, M Lu, DH Wood, DJ Wu (2003) Exploring a two-population genetic algorithm, Proceedings of the Genetic and Evolutionary Computation - GECCO2003 – Springer LNCS, pp1148-1159

306. S. Xiong and W. Wang (2003) A new hybrid structure genetic programming in symbolic regression, Proceedings of 2003 IEEE-CEC, Volume 3, pp1500-1506.

307. KH Ang, G Chong, Y Li (2002) Visualization Technique for Analyzing Non-Dominated Set Comparison, Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL2002), pp36-40.

H Abbass, R. Sarker and C. Newton (2002) Data Mining: A Heuristic Approach, IGP Book. 308. H Mohamadi, J Habibi, MS Abadeh, H Saadi (2008) Data mining with a simulated

annealing based fuzzy classification system, Pattern Recognition, 41(5), pp1824-1833

309. AQ Ansari, T Patki, AB Patki and V Kumar (2007) Integrating Fuzzy Logic and Data Mining: Impact on Cyber Security, 4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007, pp498-502.

310. R Chaisricharoen, B Chipipop, B Sirinaovakul (2007) A heuristic compensation of OTA-C bandpass biquad based on CMOS OTA, TENCON 2007 - IEEE Region 10 Conference, 2007 - ieeexplore.ieee.org, pp1-4.

311. S Xu, M Zhang (2007) A New Adaptive Neural Network Model for Financial Data Mining, Lecture Notes in Computer Science, Springer, pp1265-1273

312. VA Kovalev (2006) Mining Dichromatic Colours from Video, ICDM 2006, LNAI 4065, Springer, pp431-443.

313. D. Kampf and A. Ultsch (2006) An Overview of Artificial Life Approaches for Clustering, From Data and Information Analysis to Knowledge Engineering, M. Spiliopoulou (ed), Springer, pp486-493.

314. B de la Iglesia, A Reynolds (2005), The Use of Meta-Heuristic Algorithms for Data Mining, Int. Conf. on Information and Communication Technologies - ICICT, pp34-44

315. P. S. Andrews and J. Timmis (2005) On Diversity and Artificial Immune Systems: Incorporating a Diversity Operator into aiNet, Neural Nets: 16th Italian Workshop on Neural Nets, WIRN 2005, International Workshop on Natural and Artificial Immune Systems, NAIS 2005, Lecture Notes in Computer Science, B. Apolloni (ed), Springer, pp293-306.

316. IJG del Amo, MG Torres, BM Batista, JAM Perez (2005) Data Mining with Scatter Search, Computer Aided Systems Theory Eurocast2005, Springer LNCS, pp199-204

317. N. Kasabov, Z. Chan, Q. Song and D. Greer (2005) Evolving Connectionist Systems with Evolutionary Self-Optimisation, Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods, Studies in Fuzziness and Soft Computing, B. Gabrys (ed), Springer, pp181-200.

318. D Ingaramo, G Leguizamon, M Errecalde (2005) Adaptive clustering with artificial ants, Journal of Computer Science & Technology, 5(4), pp264-271.

319. W Feng, X Li, Z Hong (2005) An immune-based model for Web data mining, Autonomous Decentralized Systems - ISADS 2005, - ieeexplore.ieee.org, pp 547- 551

320. G. Bezerra, T. Barra, L. de Castro and F. Von Zuben (2005) Adaptive Radius Immune Algorithm for Data Clustering, Artificial Immune Systems: 4th International Conference, ICARIS 2005, C. Jacob (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp290-303.

321. M. Caetano, J. Manzolli and F. Von Zuben (2005) Application of Artificial Immune System in a Compositional Timbre Design Technique, Artificial Immune Systems: 4th

International Conference, ICARIS 2005, C. Jacob (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp389-403.

322. P. Castro, G. Coelho, M. Caetano and F. Von Zuben (2005) Designing Ensembles of Fuzzy Classification Systems: An Immune Inspired Approach, Artificial Immune Systems: 4th International Conference, ICARIS 2005, C. Jacob (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp469-482.

323. S Xu, M Zhang (2005) Data Mining—An Adaptive Neural Network Model for Financial Analysis, Information Technology and Applications – ICITA, pp.336-340

324. G. B. Bezerra, L. N. de Castro and F. J. Von Zuben (2004) A Hierarchical Immune Network Applied to Gene Expression Data, Artificial Immune Systems: Third International Conference, ICARIS 2004, G. Nicosia (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp14-27.

325. S. Stepney, R. E. Smith, J. Timmis and A. M. Tyrrell (2004) Towards a Comceptual Framework for Artificial Immune System, Artificial Immune Systems: Third International Conference, ICARIS 2004, G. Nicosia (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp53-64.

326. P. Bentley and J. Timmis (2004) A Fractal Immune Network, Artificial Immune Systems: Third International Conference, ICARIS 2004, G. Nicosia (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp133-145.

327. V. J. Manaev and D. A. Judin (2004) Application of the Ant Colony Algorithm for the Path Planning, Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems, J. Pejas (ed), Springer, pp345-352.

328. G. B. Bazerra and L. N. de Castro (2003) Bioinformatics Data Analysis using an Artificial Immune Network, Artificial Immune Systems: Second International Conference, ICARIS 2003, J. Timmis (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp22-33.

329. A. Secker, A. Freitas and J. Timmis (2003) A Danger Theory Inspired Approach to Web Mining, Artificial Immune Systems: Second International Conference, ICARIS 2003, J. Timmis (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp156-167.

330. S. M. Garret (2003) A Paratope is not an Epitope: Implications for Immune Network Models and Clonal Selection, Artificial Immune Systems: Second International Conference, ICARIS 2003, J. Timmis (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp217-228.

331. B. de la Iglesia, J. J. Wesselink, V. J. Rayward-Smith, J. Dicks, I. N. Roberts, V. Robert and T. Boekhout (2003) Developing Classification Techniques from Biological Databases using Simulated annealing, Metaheuristics: Computer Decision-Making, Applied Optimization, M.G. Resende (ed), Springer, p347-367.

332. Y. Landrin-Schweitzer, P. Collet and E. Lutton (2003) Interactive GP for Data Retrivel in Medical Databases, Genetic Programming: 6th European Conference, EuroGP2003, C. Ryan (ed), Proceedings - Lecture Notes in Computer Science, Springer, pp93-107.

333. K. Trojanowski and S. T. Wierzchori (2002) Searching for Memory in Artificial Immune System, Intelligent Information Systems, M. A. Klopotek (ed), Physica-Verlag Heidelberg, pp175-183.

334. A. A. Freitas (2002) Data Mining and Knowledge Discovery with Evolutionary Algorithms, Springer, p137.

335. L. Nunes de Castro (2002) Artificial Immune Systems: A New Computational Intelligence Approach, Springer, p102, 105, 129, 130, 260 & 298.

R Begg, J Kamruzzaman, R Sarker (2006) Neural Networks in Healthcare: Potential and Challenges, IGP Book 336. MAP Junemann, PAS Lagos and RC Arriagada (2007) Neural Networks to Predict

Schooling Failure/Success, Lecture Notes In Computer Science-5428, Springer, pp571-579.

M Mohammadian, RA Sarker, X Yao (2002) Computational Intelligence in Control, IGP Book 337. K. Voges and N. K. Li (2006) Computational Intelligence Applications in Business: A

Cross-Section of the Field, Business Applications and Computational Intelligence, Idea Group Publishing, pp1-18.

RA Sarker, HA Abbass, CS Newton (2002) Heuristic and Optimization for Knowledge Discovery, IGP Book 338. P Kumar, PR Krishna, RS Bapi, SK De (2007) Rough clustering of sequential data,

Data & Knowledge Engineering, Elsevier, 63(2), pp 183-199 339. D Parmar, T Wu, J Blackhurst (2007) MMR: An algorithm for clustering categorical

data using Rough Set Theory, Data & Knowledge Engineering, Elsevier, 63(3), pp 879-893

340. G Peters (2007) Rough Clustering and Regression Analysis, Lecture Notes in Computer Science, LNCS4481, Springer, pp 292-299

a partial list of citations of dr r sarker, school of itee ... partial list of citations of dr r...

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