Preference-inspired co-evolutionary algorithm using adaptively generated goal vectors

2013 IEEE Congress on Evolutionary Computation, CEC 2013

Volumn , Issue , 2013, Pages 916-923

  Wang, Rui ^a,b   Purshouse, Robin C ^a   Fleming, Peter J ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

adaptive; evolutionary algorithms; multi objective optimization

Indexed keywords

ADAPTIVE; ADAPTIVE APPROACH; CO-EVOLUTIONARY ALGORITHM; CUTTING PLANES; PARETO-OPTIMAL FRONT; SEARCH EFFORTS;

MULTIOBJECTIVE OPTIMIZATION; VECTORS;

EVOLUTIONARY ALGORITHMS;

EID: 84881587074     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2013.6557665     Document Type: Conference Paper

References (31)

1. C. Coello, G. Lamont, and D. Van Veldhuizen, Evolutionary algorithms for solving multi-objective problems. Springer, 2007.
2. K. Deb, Multi-objective optimization using evolutionary algorithms. Wiley, 2001.
3. C. Fonseca and P. Fleming, "Genetic algorithms for multiobjective optimization: Formulationdiscussion and generalization," in Proceedings of the 5th International Conference on Genetic Algorithms. Morgan Kaufmann Publishers Inc., 1993, pp. 416-423.
4. C. Fonseca and P. Fleming, "Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation," Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol. 28, no. 1, pp. 26-37, 1998.
5. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," Evolutionary Computation, IEEE Transactions on, vol. 6, no. 2, pp. 182-197, Apr. 2002.
6. E. Zitzler, M. Laumanns, and L. Thiele, "SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization," Evolutionary Methods for Design Optimisation and Control with Application to Industrial Problems EUROGEN 2001, vol. 3242, no. 103, pp. 95-100, 2002.
7. R. Purshouse and P. Fleming, "Evolutionary many-objective optimisation: an exploratory analysis," in Evolutionary Computation, 2003. The 2003 IEEE Congress on, vol. 3. IEEE, 2003, pp. 2066-2073.
8. R. Purshouse and P. Fleming "On the Evolutionary Optimization of Many Conflicting Objectives," Evolutionary Computation, IEEE Transactions on, vol. 11, no. 6, pp. 770-784, Dec. 2007.
9. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Evolutionary manyobjective optimization: A short review," in Evolutionary Computation, 2008. The 2008 IEEE Congress on. IEEE, 2008, pp. 2419-2426.
10. E. Zitzler and L. Thiele, "Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach," Evolutionary Computation, IEEE Transactions on, vol. 3, no. 4, pp. 257-271, 1999.
11. E. Zitzler and S. K̈unzli, "Indicator-based selection in multiobjective search," in Parallel Problem Solving from Nature-PPSN VIII. Springer, 2004, pp. 832-842.
12. N. Beume, B. Naujoks, and M. Emmerich, "SMS-EMOA: Multiobjective selection based on dominated hypervolume," European Journal of Operational Research, vol. 181, no. 3, pp. 1653-1669, Sep. 2007.
13. J. Bader and E. Zitzler, "HypE: an algorithm for fast hypervolume-based many-objective optimization." Evolutionary Computation, vol. 19, no. 1, pp. 45-76, Jan. 2011.
14. E. Hughes, "Multiple single objective pareto sampling," in Evolutionary Computation, 2003. The 2003 IEEE Congress on. IEEE, 2003, pp. 2678-2684.
15. Q. Zhang and H. Li, "MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition," Evolutionary Computation, IEEE Transactions on, vol. 11, no. 6, pp. 712-731, Dec. 2007.
16. T. Wagner, N. Beume, and B. Naujoks, "Pareto-, aggregation-, and indicator-based methods in many-objective optimization," in Evolutionary Multi-Criterion Optimization. Springer, 2007, pp. 742-756.
17. R. Wang, R. Purshouse, and P. Fleming, "Preference-inspired Coevolutionary Algorithms for Many-objective Optimisation," Evolutionary Computation, IEEE Transactions on-to appear, 2013.
18. R. Purshouse, C. Jalb?a, and P. Fleming, "Preference-driven coevolutionary algorithms show promise for many-objective optimisation," in Evolutionary Multi-Criterion Optimization. Springer, 2011, pp. 136-150.
19. M.-S. Kuo, G.-H. Tzeng, and W.-C. Huang, "Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment," Mathematical and Computer Modelling, vol. 45, no. 3, pp. 324-339, 2007.
20. K. Deb, K. Miettinen, and S. Chaudhuri, "Toward an estimation of nadir objective vector using a hybrid of evolutionary and local search approaches," Evolutionary Computation, IEEE Transactions on, vol. 14, no. 6, pp. 821-841, 2010.
21. R. Wang, R. Purshouse, and P. Fleming, "Local preference-inspired coevolutionary algorithms," in GECCO 2012: Proceedings of the Genetic and Evolutionary Computation Conference. Philadelphia, USA: ACM, 2012, pp. 513-520.
22. R. Wang, R. Purshouse, and P. Fleming "whatever works best for you- A new method for a priori and progressive multi-objective optimisation," in Evolutionary Multi-Criterion Optimization. Springer, 2013, pp. 337-351.
23. R. Wang, R. Purshouse, and P. Fleming "On finding well-spread pareto optimal solutions by preferenceinspired co-evolutionary algorithm," in GECCO 2013: Proceedings of the Genetic and Evolutionary Computation Conference-to appear. ACM, 2013.
24. R. Wang, R. Purshouse, and P. Fleming "Preference-inspired co-evolutionary algorithm using weights for many-objective optimisation," in GECCO 2013: Proceedings of the Genetic and Evolutionary Computation Conference-to appear. Amsterdam, Netherlands: ACM, 2013.
25. S. Huband, P. Hingston, L. Barone, and L. While, "A review of multiobjective test problems and a scalable test problem toolkit," Evolutionary Computation, IEEE Transactions on, vol. 10, no. 5, pp. 477-506, Oct. 2006.
26. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler, "Scalable multiobjective optimization test problems," in Evolutionary Computation, 2002. The 2002 IEEE Congress on. IEEE, 2002, pp. 825-830.
27. D. Van Veldhuizen and G. Lamont, "On measuring multiobjective evolutionary algorithm performance," in Evolutionary Computation, 2000. The 2000 IEEE Congress on, 2000, pp. 204-211.
28. C. Fonseca, L. Paquete, and M. Ĺopez-Ib́añez, "An improved dimensionsweep algorithm for the hypervolume indicator," in Evolutionary Computation, 2006. CEC 2006. IEEE Congress on. IEEE, 2006, pp. 1157-1163.
29. M. Hollander and D. Wolfe, Nonparametric statistical methods. Wiley-Interscience, 1999.
30. C. Coello, "Handling preferences in evolutionary multiobjective optimization: A survey," in Evolutionary Computation, 2000. The 2000 IEEE Congress on, vol. 1. IEEE, 2000, pp. 30-37.
31. L. Rachmawati and D. Srinivasan, "Preference Incorporation in Multiobjective Evolutionary Algorithms: A Survey," in Evolutionary Computation, 2006. The 2006 IEEE Congress on. IEEE, 2006, pp. 962-968.