Global multiobjective optimization using evolutionary algorithms

Journal of Heuristics

Volumn 6, Issue 3, 2000, Pages 347-360

  Hanne, Thomas ^a  

^a Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; COMPUTER SOFTWARE; FUNCTIONS; HEURISTIC PROGRAMMING; LINEAR PROGRAMMING; PARETO PRINCIPLE; RANDOM PROCESSES; VECTORS;

CONVEX PROGRAMMING; LEARNING OBJECT ORIENTED PROBLEM SOLVER; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; MULTIOBJECTIVE PROGRAMMING;

OPTIMIZATION;

EID: 0034244769     PISSN: 13811231     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009630531634     Document Type: Article

References (32)

1. Bäck, T., F. Hoffmeister, and H.-P. Schwefel. (1991). "A Survey of Evolution Strategies." In R.K. Belew and L.B. Booker (eds.), Genetic Algorithms, Proceedings of the Fourth International Conference. San Mateo: Morgan Kaufmann, pp. 2-9.
2. Back, T. and H.-P. Schwefel. (1992). "Evolutionary Algorithms: Some Very Old Strategies for Optimization and Adaptation." In D. Perret-Gallix (ed.), New Computing Techniques in Physics Research II. Singapore: World Scientific, pp. 247-254.
3. Back, T. and H.-P. Schwefel. (1993). "An Overview of Evolutionary Algorithms for Parameter Optimization." Evolutionary Computation 1(1), 1-23.
4. Fonseca, C.M. and P.J. Fleming. (1993). "Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization." In S. Forrest (ed.), Genetic Algorithms: Proceedings of the Fifth International Conference. San Mateo: Morgan Kaufmann, pp. 416-423.
5. Fonseca, C.M. and P.J. Fleming. (1995). "An Overview of Evolutionary Algorithms in Multiobjective Optimization." Evolutionary Computation 3(1), 1-16.
6. Gal, T. (1977). "A General Method for Determining the Set of All Efficient Solutions to a Linear Vectormaximum Problem." European Journal of Operations Research 1, 307-322.
7. Gal, T. (1986). "On Efficient Sets in Vector Maximum Problems - A Brief Survey." European Journal of Operations Research 24, 253-264.
8. Gal, T. (1995). Postoptimal Analyses, Parametric Programming, and Related Topics. Degeneracy, Multicriteria Decision Making, Redundancy. 2nd edn. Berlin: De Gruyter.
9. Goldberg, D.E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Reading: Addison-Wesley.
10. Hanne, T. (1993). "An Object-Oriented Decision Support System for MCDM." In Operations Research Proceedings DGOR/NSOR 22nd Annual Meeting. Berlin: Springer, pp. 449-455.
11. Hanne, T. (1997a). "Decision Support for MCDM that is Neural Network-Based and can Learn." In J. Climaco (ed.), Multicriteria Analysis, Proceedings of the XIth International Conference on MCDM, Coimbra, Aug. 1-6, 1994. Berlin: Springer, pp. 401-410.
12. Hanne, T. (1997b). "Concepts of a Learning Object-Oriented Problem Solver (LOOPS)." In G. Fandel and T. Gal, in collaboration with T. Hanne (eds.), Multiple Criteria Decision Making, Proceedings of the Twelfth International Conference, Hagen 1995. Berlin: Springer, pp. 330-339.
13. Hanne, T. (1999). "On the Convergence of Multiobjective Evolutionary Algorithms." European Journal of Operational Research 117(3), 553-564.
14. Hoffmeister, F. and T. Back. (1992). "Genetic Algorithms and Evolution Strategies: Similarities and Differences." Technical Report No. SYS-1/92, University of Dortmund, Department of Computer Science.
15. Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor: University of Michigan Press.
16. Horn, J. (1997). "Multicriterion Decision Making." In T. Back, D.B. Fogel, and Z. Michalewicz (eds.), Handbook of Evolutionary Computation. New York and Bristol: IOP Publishing and Oxford University Press, pp. F1.9:1-F1.9:15.
17. Jahn, J. (1984). "Scalarization in Vector Optimization." Mathematical Programming 29, 203-218.
18. Koza, J.R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, Massachussetts: MIT Press.
19. Kursawe, F. (1991). "A Variant of Evolution Strategies for Vector Optimization." In H.-P. Schwefel and R. Männer (eds.), Parallel Problem Solving from Nature, 1st Workshop, PPSN 1, Oct. 1-3, 1990. Berlin: Springer, pp. 193-197.
20. Kursawe, F. (1992). "Evolution Strategies for Vector Optimization." In Proceedings of the Tenth International Conference on Multiple Criteria Decision Making, Taipei, Vol. III, pp. 187-193.
21. Michalewicz, Z. (1994). Genetic Algorithms + Data Structures = Evolution Programs, 2nd edn. Berlin: Springer.
22. Nakayama, H. (1997). "Some Remarks on Trade-Off Analysis in Multi-Objective Programming." In J. Climaco (ed.), Multicriteria Analysis, Proceedings of the XIth International Conference on MCDM, Aug. 1-6, 1994, Coimbra, Portugal. Berlin: Springer, pp. 179-190.
23. Rechenberg, I. (1973). Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. Stuttgart: Frommann-Holzboog.
24. Sawaragi, Y., H. Nakayama, and T. Tanino. (1985). Theory of Multiobjective Optimization. Orlando: Academic Press.
25. Schwefel, H.-P. (1977). Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie. Basel: Birkhäuser.
26. Schwefel, H.-P. (1981). Numerical Optimization of Computer Models. Chichester: Wiley.
27. Steuer, R.E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application. New York: John Wiley & Sons.
28. Steuer, R.E. and F.W. Harris. (1980). "Intra-Set Point Generation and Filtering in Decision and Criterion Space." Computers and Operations Research 7, 41-53.
29. Tamaki, H., H. Kita, and S. Kobayashi. (1996). "Multi-Objective Optimization by Genetic Algorithms: A review." In Proceedings of the 3rd IEEE International Conference on Evolutionary Computation. Piscataway (NJ): IEEE Press, pp. 517-522.
30. Vincke, P. (1992). Multicriteria Decision-Aid. Chichester: Wiley.
31. White, D.J. (1982). Optimality and Efficiency. Chichester: Wiley.
32. Zeleny, M. (1982). Multiple Criteria Decision Making. New York: McGraw-Hill.