Dynamic crowding distance - A new diversity maintenance strategy for MOEAs

Proceedings - 4th International Conference on Natural Computation, ICNC 2008

Volumn 1, Issue , 2008, Pages 580-585

  Luo, Biao ^a   Zheng, Jinhua ^a   Xie, Jiongliang ^a   Wu, Jun ^a  

^a XIANGTAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DIAMONDS; EVOLUTIONARY ALGORITHMS; MAINTENANCE; SIPHONS;

CROWDING DISTANCES; DIVERSITY MAINTENANCES; MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; NSGA-II; PARETO FRONTS; TEST PROBLEMS;

DEFECT STRUCTURES;

EID: 57649234013     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.532     Document Type: Conference Paper

References (18)

1. K. Deb, A. Pratap, S. Agarwal and. T. Meyarivan, "A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, vol.6, no.2, 2002, pp.182-197.
2. E. Zitzler and L. Thiele, "Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach", IEEE Transactions on Evolutionary Computation, vol. 3, no.4, 1999, pp. 257-271.
3. J. Knowles and D. Corne, "Properties of an Adaptive Archiving Algorithm for Storing Nondominated Vectors", IEEE Transactions on Evolutionary Computation, vol. 7, no.2, 2003, pp.100-116.
4. D. W. Corne, J,. D. Knowles and M. J.Oates, "PESA-II: Region-based selection in evolutionary multiobjective optimization", In: Spector L, et al. eds. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2001). San Francisco, California, 2001,pp.283-290.
5. A. N.Peter, et al, "The balance between proximity and diversity in multiobjective evolutionary algorithms", IEEE Transactions on Evolutionary Computation, vol.7, no.2, 2003, pp.174-188.
6. A. Toffolo and E. Benini, "Genetic diversity as an objective in multi-objective evolutionary algorithms", Evolutionary Computation, vol.11, no.2, 2003, pp.151-167.
7. M. Villalobos-Arias, Coello C. A. Coello,. et al. "Asymptotic convergence of metaheuristics for multiobjective optimization problems", Soft Computing, vol.10, no.11, 2006, pp.1001-1005.
8. B. Luo, J. H. Zheng, "A New Methodology for Searching Robust Pareto Optimal Solutions with MOEAs", in Proceeding of the 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008), June 1-6, 2008, in press.
9. D. J. Cavicchio, "Reproductive adaptive plans", Proceedings of the ACM 1972 Annual Conference, 1972, pp. 1-11.
10. D, E. Goldberg and J. Richardson, "Genetic algorithms with sharing for multimodal function, optimization", Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms, 1987, 41-49.
11. D. W. Corne, J. D.Knowles and M. J. Oates, "The pareto envelope-based selection algorithm for multiobjecitve optimization", In: Schoenauer M, Deb K, Rudolph G, eds. Proceedings of the Parallel Problem Solving from Nature VI Conference, Paris, France, 2000, pp.839-848.
12. E. Zitzler, M. Laumanns and L. Thiele, "SPEA2: Improving the Strength Pareto Evolutionary Algorithm", Technical Report .103, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Zurich, Switzerland(2001).
13. Zheng, J. H, "Multiobjective Evolutionary Algorithms and Applications", Beijing: Science Press, 2007.
14. K. Deb, M. Mohan and S. Mislira, "A fast multi-objective evolutionary algorithm for finding well-spread Pareto-optimal solutions", KanGAL Report. No 2003002.
15. J. R. Schott, "Fault tolerant design using single and multicriteria genetic algorithm optimization," Master's thesis, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, Massachusetts, 1995.
16. Q. Zhang, A. Zhou and Y. Jin, "RM-MEDA: A Regularity Model Based Multiobjective Estimation of Distribution Algorithm", IEEE Transactions on Evolutionary Computation, vol. 12, no. 1, 2008, pp. 41-63.
17. M. R. Sierra and C. A. Coello Coello, "A study of fitness inheritance and approximation techniques for multi-objective particle swarm optimization", In: Proceeding Congress on Evolutionary Computation (CEC 2005), Edinburgh, U.K., 2005, 65-72.
18. D. A. Van Veldhuizen and G. B. Lamont, "Evolutionary computation and convergence to a Pareto front", In Late Breaking Papers at the Genetic Programming Conf, Madison, WI, 1998, pp.221-228.