An improved Multiobjective Evolutionary Algorithm based on decomposition with fuzzy dominance

2011 IEEE Congress of Evolutionary Computation, CEC 2011

Volumn , Issue , 2011, Pages 765-772

  Nasir, Md ^a   Mondal, A K ^a   Sengupta, S ^a   Das, Swagatam ^a   Abraham, Ajith ^b  

^a JADAVPUR UNIVERSITY   (India)

^b VSB TECHNICAL UNIVERSITY OF OSTRAVA   (Czech Republic)

Author keywords

Decomposition; Differntial Evolution; Dominance; Fuzzy Dominance; Individual; Multiobjective; Offspring; Parent; Pareto

Indexed keywords

DIFFERNTIAL EVOLUTION; DOMINANCE; FUZZY DOMINANCE; INDIVIDUAL; MULTI OBJECTIVE; OFFSPRING; PARENT; PARETO;

CALCULATIONS; MULTIOBJECTIVE OPTIMIZATION;

EVOLUTIONARY ALGORITHMS;

EID: 80051997560     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2011.5949696     Document Type: Conference Paper

References (28)

1. A. Abraham, L. C. Jain, and R. Goldberg (Eds.), Evolutionary Multiobjective Optimization: Theoretical Advances and Applications, Springer Verlag, London, 2005.
2. K. Deb, Multiobjective Optimization using Evolutionary Algorithms, John Wiley & Sons, 2001.
3. C. A. Coello Coello, G. B. Lamont, and D. A. Van Veldhuizen, Evolutionary Algorithms for Solving Multiobjective Problems, Springer, 2007.
4. K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan, "A fast and elitist Multiobjective genetic algorithm: NSGA-II", IEEE Trans. Evolutionary Computation, vol. 6, no. 2, pp. 182-197, 2002. (Pubitemid 34555372)
5. E. Zitzler, M. Laumanns, and L. Thiele, "SPEA2: Improving the strength pareto evolutionary algorithm for Multiobjective optimization", in Evolutionary Methods for Design Optimization and Control with Applications to Industrial Problems, K. C. Giannakoglou, D. T. Tsahalis, J. Périaux, K. D. Papailiou, and T. Fogarty (Eds.), Athens, Greece, 2001, pp. 95-100.
6. J. D. Knowles and D. W. Corne, "Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy", Evolutionary Computation, Vol. 8, No. 2, Pages 149-172, Summer 2000.
7. H. Ishibuchi and T. Murata, "Multiobjective genetic local search algorithm and its application to flow shop scheduling", IEEE Transactions on Systems, Man and Cybernetics, vol. 28, no. 3, pp. 392-403, 1998. (Pubitemid 128748638)
8. E. J. Hughes, "Multiple single objective pareto sampling", in Proc. Of Congress on Evolutionary Computation (CEC'03), Canberra, 2003, pp. 2678-2684.
9. Q. Zhang and H. Li, "MOEA/D: A Multiobjective evolutionary algorithm based on decomposition", IEEE Transactions on Evolutionary Computation, vol. 11, no. 6, pp. 712-731, 2007. (Pubitemid 350187486)
10. H. Li and Q. Zhang, "Multiobjective optimization problems with complicated pareto sets, MOEA/D and NSGA-II", IEEE Trans. on Evolutionary Computation, Vol. 13, No. 2, pp. 284-302, April 2009.
11. K. Miettinen, Nonlinear Multiobjective Optimization. Kluwer Academic Publishers, 1999.
12. Q. Zhang, W. Liu and H. Li", The Performance of a New Version of MOEA/D on CEC09 Unconstrained MOP instances." IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
13. P. Koduru, Z. Dong, S. Das, S. M. Welch, J. L. Roe, and E. Charbit, "A Multiobjective evolutionary-simplex hybrid approach for the optimization of differential equation models of gene networks", IEEE Transactions on Evolutionary Computation, 12(5), 2008.
14. D. Kundu, K. Suresh, S. Ghosh, S. Das, B. K. Panigrahi and S. Das, "Multiobjective optimization with artificial weed colonies", Information Sciences, Elsevier (Accepted, 2010).
15. J. M. Mendel, "Fuzzy logic systems for engineering, a tutorial", Proceedings of IEEE, 83 (2), pp. 100-116, 2003.
16. Q. Zhang, A. Zhou, S. Z. Zhao, P. N. Suganthan, W. Liu, and S. Tiwari, Multiobjective optimization test instances for the CEC 2009 special session and competition, Technical Report CES-887, University of Essex and Nanyang Technological University, 2008.
17. S. Tiwari, G. Fadel, P. Koch, and K. Deb, "Performance assessment of the hybrid archive-based micro genetic algorithm (AMGA) on the CEC09 test problems", IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
18. Y. Wang et al, "A clustering Multiobjective evolutionary algorithm based on orthogonal and uniform design", IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
19. A. Zamuda, J. Brest, B. Boskovic, and V. Zumer, "Differential evolution with self-adaptation and local search for constrained multiobjective optimization", IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
20. M. Liu, X. Zou and Y. Chen, "Performance assessment of DMOEA-DD with CEC 2009 MOEA competition test instances", IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
21. S. Kukkonen and J. Lampinen, "Performance assessment of generalized differential evolution3 (GDE3) with a given set of constrained Multiobjective optimization problems", IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
22. H-L. Liu and X. Li, "The multiobjective evolutionary algorithm based on determined weights and sub-regional search", IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
23. C.-M. Chen, Y-P. Chen, and Q. Zhang, "Enhancing MOEA/D with guided mutation and priority update for Multiobjective optimization", IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
24. B. Y. Qu and P. N. Suganthan, "Multiobjective evolutionary programming without non-domination sorting is up to twenty times faster", IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
25. K. Sindhya, A. Sinha, K. Deb, K. Miettinen, "Local search based evolutionary Multiobjective optimization algorithm for constrained and unconstrained problems", in: IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
26. S. Gao, S. Zeng, B. Xiao, L. Zhang, Y. Shi, X. Tian, Y. Yang, H. Long, X. Yang, D. Yu, and Z. Yan, "An orthogonal Multiobjective evolutionary algorithm with lower-dimensional crossover", in: IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
27. V. L. Huang, S. Z. Zhao, R. Mallipeddi and P. N. Suganthan, "Multiobjective optimization using self-adaptive differential evolution algorithm", in: IEEE Congress on Evolutionary Computing (CEC) 2009, Trondheim, Norway, 18-21 May, 2009.
28. D. H. Wolpert and W. G. Macready, "No free lunch theorems for optimization", IEEE Trans. Evol. Comput., vol. 1, no. 1, pp. 67-82, Apr. 1997. (Pubitemid 127771019)