List of References on Evolutionary Multiobjective Optimization

List of References on Evolutionary Multiobjective Optimization (Journal Papers Only)

Maintained by

Carlos A. Coello Coello
ccoello@cs.cinvestav.mx
CINVESTAV-IPN
Sección de Computación
Departamento de Ingeniería Eléctrica
Av. Instituto Politécnico Nacional No. 2508
Col. San Pedro Zacatenco
México, D.F. 07300

Last Update: August 22nd, 2002

(Keep in mind that this list is constantly being updated)

Author: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

    A

  1. M. Joao Alves and Joao Clímaco. An Interactive Method for 0-1 Multiobjective Problems Using Simulated Annealing and Tabu Search. Journal of Heuristics, 6(3):385-403, August 2000.

  2. T. Arslan, D. H. Horrocks, and E. Ozdemir. Structural Synthesis of Cell-based VLSI Circuits using a Multi-Objective Genetic Algorithm, IEE Electronic Letters, 32(7):651-652, March 1996.

  3. B. Awadh, N. Sepehri, and O. Hawaleshka. A Computer-Aided Process Planning Model Based on Genetic Algorithms. Computers in Operations Research, 22(8):651-652, 1995.

  4. Sanjay Narayanan and Shapour Azarm. A Multiobjective Interactive Sequential Hybrid Optimization Technique for Design Decision Making. Engineering Optimization, 32:485-500, 2000.

    5. B

  5. Richard J. Balling, John T. Taber, Michael R. Brown, and Kirsten Day. Multiobjective Urban Planning Using a Genetic Algorithm. ASCE Journal of Urban Planning and Development, 125(2):86-99, June 1999.

  6. Richard J. Balling. Pareto sets in decision-based design, Journal of Engineering Valuation and Cost Analysis, Vol. 3, pp. 189--198, 2001

  7. L. Bastidas, H. V. Gupta, S. Sorooshian, W. J. Shuttleworth, and Z. L. Yang. Parameter Estimation of a Land Surface Scheme using Multi-Criteria Methods. Journal of Geophysical Research--Atmospheres, 104(D16):19491, 1999.

  8. A. Baykasoglu, Goal Programming using Multiple Objective Tabu Search, Journal of the Operational Research Society, Vol. 52, No. 12, pp. 1359--1369, December 2001.

  9. To Thanh Binh and Urlich Korn. Ein multikriterielles Design-Tool für Mehrgrößensysteme mittels Evolutionsstrategien. Fachtagung 1997: Moderne Methoden des Regelungs- und ungsentwurfes, pages 35-42, 1997.

  10. Urlich Korn and To Thanh Binh. The parallel evolution strategy toolbox. Automatisierungstechnik, 4:207-208, 1998.

  11. To Thanh Binh and Urlich Korn. A parallel multiobjective evolutionary algorithm. Submission paper for Evolutionary Computing 1999, 1999.

  12. Pedro Castro Borges. CHESS-Changing Horizon Efficient Set Search: A Simple Principle for Multiobjective Optimization. Journal of Heuristics, 6(3):405-418, August 2000.

  13. C. A. Borghi, D. Casadei, M. Fabbri, and G. Serra. Reduction of the torque ripple in permanent magnet actuators by a multiobjective minimization technique. IEEE Transactions on Magnetics, 34(5):2869-2872, September 1998.

  14. Jürgen Branke, Thomas Kaußler, and Hartmut Schmeck. Guidance in Evolutionary Multi-Objective Optimization, Advances in Engineering Software, Vol. 32, pp. 499--507, 2001 <

    15. C

  15. Alain Cardon, Thierry Galinho, and Jean-Philippe Vacher. Genetic Algorithms using Multi-Objectives in a Multi-Agent System, Robotics and Autonomous Systems, 33(2-3):179-190, November 2000.

  16. Sergio Cavalieri and Paolo Gaiardelli. Hybrid genetic algorithms for a multiple-objective scheduling problem, Journal of Intelligent Manufacturing, Vol. 9, pp. 361--367, 1998 .

  17. N. Chakraborti, R. Kumar and D. Jain. A study of the continuous casting mold using a Pareto-converging genetic algorithm, Applied Mathematical Modelling, Vol. 25, pp. 287--297, 2001 .

  18. C. S. Chang, W. Wang, A. C. Liew, and F. S. Wen. Bicriterion optimisation for traction substations in mass rapid transit systems using genetic algorithm. IEE Proceedings B, Electric Power Applications, 145(1):49-56, January 1998.

  19. H. W. Chen and Ni-Bin Chang. Water pollution control in the river basin by fuzzy genetic algorithm-based multiobjective programming modeling. Water Science and Technology, 37(8):55-63, 1998.

  20. Yan Chen, Masakuni Narita, Masashi Tsuji, and Sangduk Sa. A Genetic Algorithm Approach to Optimization for the Radiological Worker Allocation Problem. Health Physics, 70(2):180-186, February 1996.

  21. H. W. Chen and Ni-Bin Chang. Water pollution control in the river basin by fuzzy genetic algorithm-based multiobjective programming modeling. Water Science and Technology, 37(8):55-63, 1998.

  22. Franklin Y. Cheng and Dan Li. Multiobjective Optimization Design with Pareto Genetic Algorithm. .Journal of Structural Engineering, 123(9):1252-1261, September 1997.

  23. A. J. Chipperfield and P. J. Fleming. Multiobjective Gas Turbine Engine Controller Design Using Genetic Algorithms. IEEE Transactions on Industrial Electronics, 43(5), October 1996.

  24. Scott E. Cieniawski, J. W. Eheart, and S. Ranjithan. Using Genetic Algorithms to Solve a Multiobjective Groundwater Monitoring Problem. Water Resources Research, 31(2):399-409, February 1995.

  25. T. Clarke and R. Davies. Robust eigenstructure assignment using the genetic algorithm and constrained state feedback. Journal of Systems and Control Engineering, 211(1):53-61, February 1997.

  26. Carlos A. Coello Coello. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems. An International Journal, 1(3):269-308, August 1999.

  27. Carlos A. Coello Coello. Constraint-handling using an evolutionary multiobjective optimization technique,Civil Engineering and Environmental Systems, 17:319-346, 2000.

  28. Carlos A. Coello Coello. An Updated Survey of GA-Based Multiobjective Optimization Techniques. ACM Computing Surveys, 32(2):109-143, June 2000.

  29. Carlos A. Coello Coello. Treating Constraints as Objectives for Single-Objective Evolutionary Optimization, Engineering Optimization, 32(3):275-308, 2000.

  30. Carlos A. Coello Coello and Alan D. Christiansen. Two New GA-based methods for multiobjective optimization Civil Engineering Systems, 15(3):207-243, 1998.

  31. Carlos A. Coello Coello. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems. An International Journal, 1(3):269-308, August 1999.

  32. Carlos A. Coello Coello and Alan D. Christiansen. MOSES: A Multiobjective Optimization Tool for Engineering Design, Engineering Optimization, 31(3):337-368, 1999.

  33. Carlos A. Coello Coello. Treating Constraints as Objectives for Single-Objective Evolutionary Optimization, Engineering Optimization, 32(3):275-308, 2000.

  34. Carlos A. Coello Coello and Alan D. Christiansen. Multiobjectiveoptimization of trusses using genetic algorithms, Computers and Structures, 75(6):647-660, May 2000.

  35. Carlos A. Coello Coello, Alan D. Christiansen, and Arturo Hernández Aguirre. Using a New GA-Based Multiobjective Optimization Technique for the Design of Robot Arms, Robotica, 16(4):401-414, July-August 1998.

  36. Lino Costa and Pedro Oliveira. Evolutionary Algorithms Approach to the Solution of Mixed Integer Non-Linear Programming Problems, Computers & Chemical Engineering, Vol. 25, pp. 257-266, 2001 .

  37. V. Coverstone-Caroll, J.W. Hartmann and W.M. Mason. Optimal Multi-Objective Low-Thrust Spacecraft Trajectories, Computer Methods in Applied Mechanics and Engineering, Vol. 186, pp. 387--402, 2000 .

  38. Ian C. Parmee, Dragan Cvetkovic, Andrew H. Watson, and Christopher R. Bonham. Multi-objective Satisfaction within an Interactive Evolutionary Design Environment. Evolutionary Computation, 8(2):197-222, 2000.

  39. Dragan Cvetkovic and Ian C. Parmee. Preferences and their Application in Evolutionary Multiobjective Optimisation. IEEE Transactions on Evolutionary Computation, Vol. 6, No. 1, pp. 42--57, February 2002 .

  40. P. Czyzak and A. Jaszkiewicz. A multiobjective metaheuristic approach to the localization of a chain of petrol stations by the capital budgeting model. Control and Cybernetics, 25(1):177-187, 1996.

  41. P. Czyzak and A. Jaszkiewicz. Pareto simulated annealing--a metaheuristic technique for multiple-objective combinatorial optimization. Journal of Multi-Criteria Decision Analysis, 7:34-47, 1998.

    42. D

  42. N. V. Dakev, J. F. Whidborne, A. J. Chipperfield, and P. J. Fleming. ${H}_infty$ design of an EMS control system for a maglev vehicle using evolutionary algorithms. Proceedings of IMechE-I Part I: Journal of Systems and Control Engineering, 311(4):345-355, 1997.

  43. Kalyanmoy Deb and Amarendra Kumar. Real-coded Genetic Algorithms with Simulated Binary Crossover: Studies on Multimodal and Multiobjective Problems. Complex Systems, 9:431-454, 1995.

  44. Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems, Evolutionary Computation, 7(3):205-230, Fall 1999.

  45. Kalyanmoy Deb. Nonlinear goal programming using multi-objective genetic algorithms, Journal of the Operational Research Society, Vol. 52, No. 3, pp. 291--302, 2001

  46. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and T. Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA--II, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182--197, April 2002 .

  47. A. K. Dhingra and B. H. Lee. A Genetic Algorithm Approach to Single and Multiobjective Structural Optimization with Discrete-Continuous Variables. International Journal for Numerical Methods in Engineering, 37:4059-4080, 1994.

  48. Robert P. Dick and Niraj K. Jha. MOGAC: A Multiobjective Genetic Algorithm for Hardware-Software Co-synthesis of Hierarchical Heterogeneous Distributed Embedded Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 17(10):920-935, October 1998.

  49. D. Dumitrescu, Crina Grosan and Mihai Oltean. A New Evolutionary Approach for Multiobjective Optimization, Studia Universitatis Babes--Bolyai, Informatica, Volume XLV, No. 1, pp. 51--68, 2000.

  50. D. Dumitrescu, Crina Grosan and Mihai Oltean. Genetic Chromodynamics for Obtaining Continuous Representation of Pareto Regions, Studia Universitatis Babes--Bolyai, Informatica, Volume XLVI, No. 1, pp. 15--30, 2001.

    51. E

  51. Matthias Ehrgott and Xavier Gandibleux. A Survey and Annotated Bibliography of Multiobjective Combinatorial Optimization. OR Spektrum, 22:425-460, 2000.

  52. Matthias Ehrgott. Approximation algorithms for combinatorial multicriteria optimization problems. International Transactions in Operational Research, 7:5-31, 2000.

  53. M. Eisenring, L. Thiele, and E. Zitzler. Conflicting Criteria in Embedded System Design. IEEE Design and Test, 17(2):51-59, April-June 2000.

  54. Anikó Ekárt and S.Z. Németh. Selection Based on the Pareto Nondomination Criterion for Controlling Code Growth in Genetic Programming, Genetic Programming and Evolvable Machines, Vol. 2, No. 1, pp. 61--73, March 2001.

    55. F

  55. Chung-Wei Feng, Liang Liu, and Scott A. Burns. Using Genetic Algorithms to Solve Construction Time-Cost Trade-Off Problems. Journal of Computing in Civil Engineering, 10(3):184-189, 1999.

  56. C.-M. Feng and J.-J. Lin. Using a genetic algorithm to generate alternative sketch maps for urban planning. Computers, Environment and Urban Systems, 23(2):91-108, March 1999.

  57. Chung-Wei Feng, Liang Liu, and Scott A. Burns. Using Genetic Algorithms to Solve Construction Time-Cost Trade-Off Problems. Journal of Computing in Civil Engineering, 10(3):184-189, 1999.

  58. Robert Flynn and Porter D. Sherman. Multicriteria Optimization of Aircraft Panels: Determining Viable Genetic Algorithm Configurations. International Journal of Intelligent Systems, 10:987-999, 1995.

  59. Carlos M. Fonseca and Peter J. Fleming. An overview of evolutionary algorithms in multiobjective optimization, Evolutionary Computation, 3(1):1-16, Spring 1995.

  60. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms--Part I: A Unified Formulation. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 28(1):26-37, 1998.

  61. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms--Part II: A Application Example. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 28(1):38-47, 1998.

    62. G

  62. Xavier Gandibleux and Arnaud Freville. Tabu Search Based Procedure for Solving the 0-1 Multi-Objective Knapsack Problem: The Two Objectives Case. Journal of Heuristics, 6(3):361-383, August 2000.

  63. Sanjeev Garg and Santosh K. Gupta. Multiobjective optimization of a free radical bulk polymerization reactor using genetic algorithm. Macromolecular Theory and Simulations, 8(1):46-53, 1999.

  64. M. Gen, K. Ida, and Y. Li. Solving bicriteria solid transportation problem with fuzzy numbers by genetic algorithm. International Journal of Computers and Industrial Engineering, 29:537-543, 1995.

  65. John S. Gero and Sushil J. Louis. Improving Pareto Optimal Designs Using Genetic Algorithms, Microcomputers in Civil Engineering, 10(4):241-249, 1995.

  66. John S. Gero, Sushil J. Louis, and Sourav Kundu. Evolutionary learningof novel grammars for design improvement, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 8:83-94, 1994.

  67. John S. Gero and Sushil J. Louis. Improving Pareto Optimal Designs Using Genetic Algorithms, Microcomputers in Civil Engineering, 10(4):241-249, 1995.

  68. V. J. Gillet, W. Khatib, P. Willett, P.J. Fleming, and D.V.S. Green. Combinatorial library design using a multiobjective genetic algorithm, Journal of Chemical Information and Computer Sciences, Vol. 42, No. 2, pp. 375-385, March-April 2002.

  69. V. Gineityte, B. Csukas, and S. Balogh. Combining genetic programming with generic simulation models in evolutionary synthesis. Computers in Industry, 36(3):181-197, June 1998.

  70. I. Golovkin, R. Mancini, S. Louis, Y. Ochi, K. Fujita, H. Nishimura, H. Shirga, N. Miyanaga, H. Azechi, R. Butzbach, I. Uschmann, E. Förster, J. Delettrez, J. Koch, R.W. Lee and L. Klein. Spectroscopic Determination of Dynamic Plasma Gradients in Implosion Cores, Physical Review Letters, Vol. 88, No. 4, January 2002

  71. Marc Gravel, Aaron Luntala Nsakanda and Wilson Price. Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm, European Journal of Operational Research, Vol. 109, pp. 286--298, 1998 .

  72. P.-Y. Gueugniaud, M. Bertin-Maghit, C. Hirschauer, C. Bouchard, B. Vilasco, P. Petit, M. Gen, K. Ida, J. Lee, and J. Kim. Fuzzy Nonlinear Goal Programming Using Genetic Algorithm. Computers & Industrial Engineering, 33(1):39-42, October 1997.

  73. Ângela Guimarães Pereira, G. Munda, and M. Pariccini. Generating alternatives for siting retail and service facilities using genetic algorithms and multiple criteria devision techniques. Journal of Retailing and Consumer Services, 1(2):40-47, 1994.

  74. Ângela Guimarães Pereira. Generating alternative routes by multicriteria evaluation and a genetic algorithms. Environment and Planning B: Planning and Design, 23:711-720, 1996.

  75. H. V. Gupta, S. Sorroshian, and P. O. Yapo. Towards Improved Calibration of Hydrologic Models: Multiple and Non-Commensurable Measures of Information. Water Resources Research, 34(4):751-763, 1998.

  76. H. Altay Güvenir and E. Erel. Multicriteria inventory classification using a genetic algorithm. European Journal of Operational Research, 105(1):29-37, February 1998.

    77. H

  77. P. Hajela and C. Y. Lin. Genetic search strategies in multicriterion optimal design. Structural Optimization, 4:99-107, 1992.

  78. D. Halhal, G. A. Walters, D. Ouazar, and D. A. Savic. Multi-objective improvement of water distribution systems using a structure messy genetic algorithm approach, Journal of Water Resources Planning and Management ASCE, 123(3):137-146, 1997.

  79. Maciej Hapke, Andrzej Jaszkiewicz, and Roman Slowinski. Pareto Simulated Annealing for Fuzzy Multi-Objective Combinatorial Optimization. Journal of Heuristics, 6(3):329-345, August 2000.

  80. Thomas Hanne. On the convergence of multiobjective evolutionary algorithms. European Journal of Operational Research, 117(3):553-564, 1999.

  81. Thomas Hanne. Global Multiobjective Optimization Using Evolutionary Algorithms. Journal of Heuristics, 6(3):347-360, August 2000.

  82. John W. Hartmann, Victoria L. Coverstone-Carroll, and Steven N. Williams. Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm. The Journal of the Astronautical Sciences, 46(3):267-282, July-September 1998.

  83. Alain Hertz, Brigitte Jaumard, C.C. Ribeiro, and W.P. Formosinho Filho. A multi-criteria tabu search approach to cell formation problems in group technology with multiple objectives. RAIRO/Operations Research, 28(3):303-328, 1994.

  84. Tomoyouki Higashihara and Masayasu Atsumi. Evolutionary Acquisition of Sensory--Action Network of Mobile Robot using Multiobjective Genetic Algorithm, IPSJ SIG-ICS, 98-ICS-111:1-6, 1998. In Japanese.

  85. Chih-Ming Hsu and Chao-Ton Su. Multi-objective machine-component grouping in cellular manufacturing: a genetic algorithm, Production Planning and Control, Vol. 9, No. 2, pp. 155--166, 1998.

  86. Chul Ju Hyun, Yeongho Kim and Yeo Keun Kim. A Genetic Algorithm for Multiple Objective Sequencing Problems in Mixed Model Assembly Lines. Computers and Operations Research, Vol. 25, No. 7/8, pp. 675--690, 1998 .

    87. I

  87. Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search Algorithm and Its Application to Flowshop Scheduling. IEEE Transactions on Systems, Man and Cybernetics, 28(3):392-403, August 1998.

  88. Hisao Ishibuchi, Tadahiko Murata, and Mitsuo Gen. Performance Evaluation of Fuzzy Rule-Based Classification Systems Obtained by Multi-Objective Genetic Algorithms. Computers & Industrial Engineering, 35(3-4):575-578, December 1998.

  89. Hisao Ishibuchi, Tadahiko Murata, and I. B. Tursken. Single-Objective and Two-Objective Genetic Algorithms for Selecting Linguistic Rules for Pattern Classification Problems. Fuzzy Sets and Systems, 89(2):135-150, July 1997.

  90. K. Ito, S. Akagi, and M. Nishikawa. A multiobjective optimization approach to a design problem of heat insulation for thermal distribution piping network systems. Journal of Mechanisms, Transmissions and Automation in Design (Transactions of the ASME), 105:206-213, jun 1983.

    91. J

  91. Andrzej Jaszkiewicz. A metaheuristic approach to multiple objective nurse scheduling. Foundations of Computing and Decision Sciences, 22(3):169-184, 1997.

  92. L.E. Jeremiah, L.L. Gibson, M. Gen, K. Ida, J. Lee, and J. Kim. Fuzzy Nonlinear Goal Programming Using Genetic Algorithm. Computers and Industrial Engineering, 33(1):39-42, October 1997.

  93. F. Jiménez and J. M. Cadenas. An evolutionary program for the multiobjective solid transportation problem with fuzzy goals. Operations Research and Decisions, 2:5-20, 1995.

  94. Yaochu Jin, Werner von Seelen, and Bernhard Sendhoff. On generating flexible, complete, consistent and compact(FC) fuzzy rule systems from data using evolution strategies, IEEE Transactions on Systems, Man, and Cybernetics, 29(4):829-845, 1999.

  95. D.F. Jones, S.K. Mirrazavi and M. Tamiz. Multi-objective metaheuristics: An overview of the current state-of-the-art, European Journal of Operational Research, Vol. 137, No. 1, pp. 1--9, February 2002 .

    96. K

  96. Kosuke Kato, Masatoshi Sakawa, and Toshinori Ikegame. Interactive Decision Making for Multiobjective Block Angular 0-1 Programming Problems with Fuzzy Parameters Through Genetic Algorithms. Japanese Journal of Fuzzy Theory and Systems, 9(1):49-59, 1997.

  97. Kosuke Kato and Masatoshi Sakawa. An interactive fuzzy satisficing method for large scale multiobjective 0-1 programming problems with fuzzy parameters through genetic algorithms. European Journal of Operational Research, 107(3):590-598, June 1998.

  98. Kosuke Kato, Masatoshi Sakawa, and Toshinori Ikegame. An Interactive Fuzzy Criteria Method for Multiobjective 0-1 Programming Problems with Block Angular Structure Using Genetic Algorithms. Electronics and Communications in Japan, 81(8):10-17, 1998.

  99. J.-H. Kim and K.-C. Kim. Multicriteria Fuzzy Control Using Evolutionary Programming. Information Sciences, 103(1):71-86, December 1997.

  100. Y.-J. Kim and J. Ghaboussi. A New Method of Reduced Order Feedback Control Using Genetic Algorithms. Earthquake Engineering and Structural Dynamics, 28(2):193-212, 1999.

  101. Min-Kyu Kim, Cheol-Gyun Lee, and Hyun-Kyo Jung. Multiobjective Optimal Design of Three-Phase Induction Motor Using Improved Evolution Strategy. IEEE Transactions on Magnetics, 34(5):2980-2983, September 1998.

  102. Joshua D. Knowles and David W. Corne. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Draft Version), Evolutionary Computation, 8(2):149-172, 2000 (Final version obtainable from MIT press)

  103. Joshua D. Knowles, Martin J. Oates, and David W. Corne. Multiobjective Evolutionary Algorithms Applied to two Problems in Telecommunications, BT Technology Journal, 18(4):51-64, October 2000.

  104. Shigenobu Kobayashi, Koji Yoshida, and Masayuki Asada. Generating a Set of Pareto Optimal Decision Trees by Genetic Algorithms. EM>Journal of the Japanese Society for Artificial Intelligence, 11(5):725-732, September 1996.

  105. Esra Köktener Karasakal and Murat Köksalan. A Simulated Annealing Approach to Bicriteria Scheduling Problems on a Single Machine. Journal of Heuristics, 6(3):311-327, August 2000.

  106. Rajeev Kumar and Peter Rockett. Decomposition of High Dimensional Pattern Spaces for Hierarchical Classification. Kybernetika, 34(4):435-442, 1998.

  107. Rajeev Kumar and Peter Rockett. Multiobjective Genetic Algorithm Partitioning for Hierarchical Learning of High-Dimensional Pattern Spaces: A Learning-Follows-Decomposition Strategy. IEEE Transactions on Neural Networks, 9(5):822-830, 1998.

  108. M.A. Kupinski and M.A. Anastasio. Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating Receiver Operating Characteristic Curves, IEEE Transactions on Medical Imaging, Vol. 18, No. 8, pp. 675--685, 1999 .

  109. A. Kurapati and S. Azarm. Immune Network Simulation with Multiobjective Genetic Algorithms for Multidisciplinary Design Optimization. Engineering Optimization, 33:245-260, 2000 .

    110. L

  110. Dongkon Lee. Multiobjective Design of a Marine Vehicle with Aid of Design Knowledge. International Journal for Numerical Methods in Engineering, 40:2665-2677, 1997.

  111. Jongsoo Lee and Prabhat Hajela. Parallel Genetic Algorithm Implementation in Multidisciplinary Rotor Blade Design. Journal of Aircraft, 33(5):962-969, September-October 1996.

  112. Yiu-Wing Leung and Yuping Wang. Multiobjective Programming Using Uniform Design and Genetic Algorithm, IEEE Transactions on Systems, Man, and Cybernetics---Part C: Applications and Reviews, Vol. 30, No. 3, pp. 293--304, August 2000 .

  113. J.C. Leyva and E. Fernández. A genetic algorithm for deriving final ranking from a fuzzy outranking relation. Foundations of Computing and Decision Sciences, 24(1):33-47, 1999.

  114. Xiaodong Li, Tianzi Jiang, and D. J. Evans. Medical Image Reconstruction Using a Multi-objective Genetic Local Search Algorithm. International Journal on Computer Mathematics, 74(301-314), 2000.

  115. Yinzhen Li, Kenichi Ida, and Mitsuo Gen. Improved Genetic Algorithm for Solving Multiobjective Solid Transportation Problem with Fuzzy Numbers. Computers in Industrial Engineering, 33(3-4):589-592, 1997.

  116. Xiaodong Li, Tianzi Jiang, and D. J. Evans. Medical Image Reconstruction Using a Multi-objective Genetic Local Search Algorithm. International Journal on Computer Mathematics, 74(301-314), 2000.

  117. Chunlu Liu, Amin Hammad, and Yoshito Itoh. Multiobjective Optimization of Bridge Deck Rehabilitation Using a Genetic Algorithm. Journal of Computer-Aided Civil and Infrastructure Engineering, 12(3):431-443, November 1997.

  118. Xiaojian Liu, D. W. Begg, and R. J. Fishwick. Genetic approach to optimal topology/controller design of adaptive structures. International Journal for Numerical Methods in Engineering, 41:815-830, 1998.

  119. Chi-Chun Lo and Wei-Hsin Chang. A Multiobjective Hybrid Genetic Algorithm for Capacitated Multipoint Network Design Problem. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 30(3):461-470, June 2000.

  120. Daniel H. Loughlin, S. Ranji Ranjithan, E. Downey Brill Jr. and John W. Baugh Jr. Genetic Algorithm Approaches for Addressing Unmodeled Objectives in Optimization Problems, Engineering Optimization, Vol. 33, pp. 549--569, 2001 .

  121. Panta Lucic and Dusan Teodorovic. Simulated annealing for the multi-objective aircrew rostering problem. Transportation Research Part A, 33:19-45, 1999 .

    122. M

  122. S.A. Mansouri, S.M. Moattar-Husseini and S.T. Newman. A review of the modern approaches to multi-criteria cell design, International Journal of Production Research, Vol. 38, No. 5, pp. 1201--1218, 2000 .

  123. Simon Mardle, Sean Pascoe, and Mehrdad Tamiz. An Investigation of Genetic Algorithms for the Optimization of Multi-objective Fisheries Bioeconomic Models, International Transactions of Operations Research, Vol. 7, No. 1, pp. 33--49, 2000 .

  124. Richard Marett and Mike Wright. A Comparison of Neighborhood Search Techniques for Multi-Objective Combinatorial Problems, Computers and Operations Research, Vol. 23, No. 5, pp. 465--483, 1996.

  125. Patrick R. McMullen. An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives, Artificial Intelligence in Engineering, Vol. 15, pp. 309--317, 2001 .

  126. Filippo Menczer, Melania Degeratu, and W. Nick Street. Efficient and Scalable Pareto Optimization by Evolutionary Local Selection Algorithms, Evolutionary Computation, 8(2):223-247, Summer 2000.

  127. Eric Michielssen, Jean-Michel Sajer, S. Ranjithan, and Raj Mittra. Design of Lightweight, Broad-Band Microwave Absorbers Using Genetic Algorithms. IEEE Transactions on Microwave Theory and Techniques, 41(6/7):1024-1031, 1993.

  128. K. Mitra, Kalyanmoy Deb, and Santosh K. Gupta. Multiobjective Dynamic Optimization of an Industrial Nylon 6 Semibatch Reactor Using Genetic Algorithm. Journal of Applied Polymer Science, 69(1):69-87, 1998.

  129. Tadahiko Murata, Hisao Ishibuchi, and H. Tanaka. Multi-Objective Genetic Algorithm and Its Application to Flowshop Scheduling. Computers and Industrial Engineering Journal, 30(4):957-968, September 1996.

    130. N

  130. Karl Nachtigall and Stefan Voget. Minimizing Waiting Times in Integrated Fixed Interval Timetables by Upgrading Railway Tracks. European Journal of Operational Research, 103:610-627, 1997.

  131. S. Narayanan and S. Azarm. On Improving Multiobjective Genetic Algorithms for Design Optimization. Structural Optimization, 18:146-155, 1999.

    132. O

  132. S. Obayashi, Y. Yamaguchi, and T. Nakamura. Multiobjective Genetic Algorithm for Multidisciplinary Design of Transonic Wing Planform. Journal of Aircraft, 34(5):690-693, September-October 1997.

  133. Shigeru Obayashi, Takanori Tsukahara, and Takashi Nakamura. Multiobjective Genetic Algorithm applied to Aerodynamic Design of Cascade Airfoils. IEEE Transactions on Industrial Electronics, 47(1), February 2000.

  134. Shigeru Obayashi, Takanori Tsukahara, and Takashi Nakamura. Multiobjective Evolutionary Computation for Supersonic Wing-Shape Optimization. IEEE Transactions on Evolutionary Computation, 4(2):182-187, July 2000.

  135. Andrzej Osyczka and Sourav Kundu. A new method to solve generalized multicriteria optimization problems using the simple genetic algorithm. Structural Optimization, 10:94-99, 1995.

  136. Andrzej Osyczka and Sourav Kundu. A modified distance method for multicriteria optimization using genetic algorithms. Computers in Industrial Engineering, 30(4):871-882, 1996.

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Acknowledgments

We acknowledge partial support from REDII-CONACyT and LANIA in the development, expansions and maintenance of this repository of information.

For corrections and/or updates on current information or to add your journal paper, please contact:
Dr. Carlos A. Coello Coello