Moses: A multiobjective optimization tool for engineering design

Engineering Optimization

Volumn 31, Issue 1-3, 1999, Pages 337-368

  Coello Coello, Carlos A ^a   Christiansen, Alan D ^a  

^a Tulane University   (United States)

Author keywords

Artificial intelligence; Genetic algorithms; Min max optimization; Multicriteria optimization; Multiobjective optimization

Indexed keywords

EID: 0002490932     PISSN: 0305215X     EISSN: None     Source Type: Journal    
DOI: 10.1080/03052159908941377     Document Type: Article

References (29)

1. Osyczka, A. (1985). Multicriteria optimization for engineering design. In: Gero, J. S. (Ed.) Design Optimization, Academic Press, pp. 193-227.
2. Osyczka, A. (1984). Multicriterion optimization in Engineering with FORTRAN programs. Ellis Horwood Limited.
3. Osyczka, A. (1978). An approach to multicriterion optimization problems for engineering design. Computer Methods in Applied Mechanics and Engineering, 15, 309-333.
4. Osyczka, A. (1981). An approach to multicriterion optimization for structural design. In: Proceedings of International Symposium on Optimal Structural Design, University of Arizona.
5. Rao, S. (1986). Game theory approach for multiobjective structural optimization. Computers and Structures, 25(1), 119-127.
6. Tseng, C. H. and Lu, T. W. (1990). Minimax multiobjective optimization in structural design. International Journal for Numerical Methods in Engineering, 30, 1213-1228.
7. Boychuk, L. M. and Ovchinnikov, V. O. (1973). Principal methods of solution of multicriterial optimization problems (survey). Soviet Automatic Control, 6, 1-4.
8. Salukvadze, M. E. (1974). On the existence of solution in problems of optimization under vector valued criteria. Journal of Optimization Theory and Applications, 12(2), 203-217.
9. Himmelblau, D. M. (1972). Applied Nonlinear Programming, McGraw-Hill Book Company, New York.
10. Coello, C. A. C. (1996). An Empirical Study of Evolutionary Techniques for Multiobjective Optimization in Engineering Design. Ph. D. Thesis, Department of Computer Science, Tulane University, New Orleans, LA.
11. Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publishing Co., Reading, Mass.
12. Rosenberg, R. S. (1967). Simulation of genetic populations with biochemical properties. Ph. D. Thesis, University of Michigan, Ann Arbor, Michigan.
13. Fonseca, C. M. and Fleming, P. J. (1994). An overview of evolutionary algorithms in multiobjective optimization, Technical report, Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K.
14. Schaffer, J. D. (1985). Multiple objective optimization with vector evaluated genetic algorithms. In: Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms, Lawrence Erlbaum, pp. 93-100.
15. Grefenstette, J. J. (1984). GENESIS: A system for using genetic search procedures. In: Proceedings of the 1984 Conference on Intelligent Systems and Machines, pp. 161-165.
16. Richardson, J. T., Palmer, M. R., Liepins, G. and Hilliard, M. (1989). Some guidelines for genetic algorithms with penalty functions. In: Schaffer, J. D. (Ed.) Proceedings of the Third International Conference on Genetic Algorithms, George Mason University, Morgan Kaufmann Publishers, pp. 191-197.
17. Rao, S. S. (1984). Multiobjective optimization in structural design with uncertain parameters and stochastic processes. AIAA Journal, 22(11), 1670-1678.
18. Fourman, M. P. (1985). Compaction of symbolic layout using genetic algorithms. In: Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms, Lawrence Erlbaum, pp. 141-153.
19. Hajela, P. and Lin, C. Y. (1992). Genetic search strategies in multicriterion optimal design. Structural Optimization, 4, 99-107.
20. Fonseca, C. M. and Fleming, P. J. (1993). Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In: Forrest, S. (Ed.) Proceedings of the Fifth International Conference on Genetic Algorithms, University of Illinois at Urbana-Champaign, Morgan Kauffman Publishers, pp. 416-423.
21. Goldberg, D. E. and Deb, K. (1991). A comparison of selection schemes used in genetic algorithms. In: Rawlins, G. E. (Ed.) Foundations of Genetic Algorithms, Morgan Kaufmann, San Mateo, California, pp. 69-93.
22. Srinivas, N. and Deb, K. (1994). Multiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation, 2(3), 221-248.
23. Srinivas, N. and Deb, K. (1993). Multiobjective optimization using nondominated sorting in genetic algorithms, Technical report, Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India.
24. Horn, J. and Nafpliotis, N. (1993). Multiobjective Optimization using the Niched Pareto Genetic Algorithms, Technical Report, IlliGAi Report 93005, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
25. Goldberg, D. E. and Richardson, J. (1987). Genetic algorithm with sharing for multimodal function optimization. In: Grefenstette, J. J. (Ed.) Genetic Algorighms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum, pp. 41-49.
26. Grefenstette, J. J. (1986). Optimization of control parameters for genetic algorithms. IEEE Transactions on Systems, Man, and Cybernetics, 16(1), 122-128.
27. Eshelman, L. J. (1991). The CHC adaptive search algorithm: How to have safe search when engaging in nontraditional genetic recombination. In: Rawlins, G. E. (Ed.) Foundations of Genetic Algorithms, Morgan Kaufmann Publishers, San Mateo, California, pp. 265-283.
28. Ghiassi, M., DeVor, R. E., Dessouky, M. I. and Kijowski, B. A. (1984). An application of multiple criteria decision making principles for planning machining operations. IIE Transactions, 16(2), 106-114.
29. Deb, K. and Goldberg, D. E. (1989). An investigation of niche and species formation in genetic function optimization. In: Schaffer, J. D. (Ed.) Proceedings of the Third International Conference on Genetic Algorithms, George Mason University, Morgan Kaufmann Publishers, pp. 42-50.