A cooperative coevolutionary algorithm for multiobjective optimization

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 2, Issue , 2004, Pages 1926-1931

  Tan, K C ^a   Lee, T H ^a   Yang, Y J ^a   Liu, D S ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Co evolution; Evolutionary algorithm; Multi objective optimization

Indexed keywords

BENCHMARKS; CO-EVOLUTION; MULTI-OBJECTIVE OPTIMIZATION; RANK ASSIGNMENT;

COMPUTER SIMULATION; OPTIMIZATION; PARETO PRINCIPLE; PROBLEM SOLVING; SAMPLING; SET THEORY;

EVOLUTIONARY ALGORITHMS;

EID: 15744380574     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1399965     Document Type: Conference Paper

References (15)

1. D.W. Corne, J.D. Knowles, and M.J. Oates, "The Pareto envelope-based selection algorithm for multiobjective optimization", in Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pp. 839-848, 2000.
2. K. Deb, Multi-objective optimization using evolutionary algorithms, John Wiley & Sons, New York, 2001.
3. K. Deb, et al, "A fast and elitist multiobjective genetic algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182-197, 2002.
4. C.M. Fonseca, and P.J. Fleming, "Genetic algorithms for multiobjective optimization: formulation, discussion and generalization", in Proceedings of the Fifth International Conference on Genetic Algorithms, pp. 416-423, 1993.
5. D.E. Goldberg, and J. Richardson, "Genetic algorithms with sharing for multi-modal function optimization", in Proceedings of the Second International Conference on Genetic Algorithms, pp. 41-49, 1987. N. Keerativuttiumrong, N. Chaiyaratana and V. Varavithya, "Multi-objective co-operative co-evolutionary genetic algorithm", in Proceedings of the Parallel Problem Solving from Nature VII Conference (PPSN VII), pp. 288-297, 2002.
6. D.E. Goldberg, and J. Richardson, "Genetic algorithms with sharing for multi-modal function optimization", in Proceedings of the Second International Conference on Genetic Algorithms, pp. 41-49, 1987. N. Keerativuttiumrong, N. Chaiyaratana and V. Varavithya, "Multi-objective co-operative co-evolutionary genetic algorithm", in Proceedings of the Parallel Problem Solving from Nature VII Conference (PPSN VII), pp. 288-297, 2002.
7. J.D. Knowles, and D.W. Corne, "Approximating the non-dominated front using the Pareto archived evolution strategy", Evolutionary Computation, Vol. 8, No. 2, pp. 149-172, 2000.
8. Y. Liu, X. Yao, et al, "Scaling up fast evolutionary programming with cooperative coevolution", in Proceedings of the 2001 Congress on Evolutionary Computation, pp. 1101-1108, 2001.
9. M.A. Potter, and K.A. De Jong, "A cooperative revolutionary approach to function optimization", in Proceedings of the Third Conference on Parallel Problem Solving from Nature, pp. 249-257, 1994.
10. M.A. Potter, and K.A. De Jong, "Cooperative coevolution: an architecture for evoling coadapted subcomponents", Evolutionary Computation, Vol. 8, No. 1, pp. 1-29, 2000.
11. J.D. Schaffer, "Multiple objective optimization with vector evaluated genetic algorithms", in Proceedings of the First International Conference on Genetic Algorithms, pp. 93-100, 1985.
12. K.C. Tan, T.H. Lee, and E.F. Khor, "Evolutionary algorithms for multi-objective optimization: performance assessments and comparisons", Artificial Intelligence Review, Vol. 17, No. 4, pp. 251-290, 2002.
13. K.C. Tan, T.H. Lee, and E.F. Khor, "Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization", IEEE Transactions on Evolutionary Computation, Vol. 5, No. 6, pp. 565-588, 2001.
14. E. Zitzler, K. Deb, and L. Thiele, "Comparison of multiobjective evolutionary algorithms: empirical results", Evolutionary Computation, Vol. 8, No. 2, pp. 173-195, 2000.
15. E. Zitzler, M. Laumanns, and L. Thiele, "SPEA2: improving the strength Pareto evolutionary algorithm", Technical Report 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Switzerland, May 2001.