A new performance metric for user-preference based multi-objective evolutionary algorithms

2013 IEEE Congress on Evolutionary Computation, CEC 2013

Volumn , Issue , 2013, Pages 2825-2832

  Mohammadi, Asad ^a   Omidvar, Mohammad Nabi ^a   Li, Xiaodong ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY MULTI-OBJECTIVE ALGORITHMS; MULTI OBJECTIVE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; NONDOMINATED SOLUTIONS; PARETO-OPTIMAL FRONT; PERFORMANCE METRICES; PERFORMANCE METRICS; REFERENCE POINTS;

OPTIMIZATION;

EVOLUTIONARY ALGORITHMS;

EID: 84881596356     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2013.6557912     Document Type: Conference Paper

References (22)

1. K. Deb and A. Kumar, Interactive evolutionary multi-objective optimization and decision-making using reference direction method " in Proceedings of the 9th annual conference on Genetic and evolutionary computati on, 2007, pp. 781-788.
2. -, Light beam search based multi-objective optimization using evolutionary algorithms " in In IEEE Congress on Evolutionary Com-putation (CEC), 2007, pp. 2125-2132 .
3. L. Thiele, K. Miettinen, P. J. Korhonen, and J. Molina, "A preferencebased evolutionary algorithm for multi-objective optimization " Evolu-tionary Computation, vol. 17, no. 3, pp . 411-436, September 2009.
4. K. Deb, J. Sundar, N. U. B. Rao, and S. Chaudhuri, "Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms " International Journal of C omputational Intelligence Research, vol. 2, no. 3, pp. 273-286, 2006.
5. A. Mohammadi, M. N. Omidvar, and X. Li, Reference Point Based Multi-objective Optimization Through Decomposition in in Proceed-ings of Congress of Evolutionary Computation (CEC 2012), 2012, pp. 1150-1157.
6. U. K. Wickramasinghe and X. Li, Integrating user preferences with particle swarms for multi-objective optimization in Proceedings of the 10th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, 2008, pp. 745-752.
7. J. Mehnen, H. Trautmann, and A. Tiwari, Introducing user preference using desirability functions in multi-objective evolutionary optimisation of noisy processes in IEEE Congress on Evolutionary Computation, 2007, 2007, pp. 2687-2694.
8. U. K. Wickramasinghe, R. Carrese, and X. Li, Designing Airfoils using a Reference Point based Evolutionary Many-objective Particle Swarm Optimization Algorithm in in Proceedings of Congress of Evolutionary Computation (CEC 2010). IEEE, 2010, pp. 1857-1864.
9. D. A. V. Veldhuizen, Multiobjective evolutionary algorithms: Classifications, analyses, and new innovations " Ph.D. dissertation, School of Engineering of the Air Force Institute of Technology, 1999.
10. D. A. V. Veldhuizen and G. Lamont, On measuring multiobjective evolutionary algorithm performance in In 2000 Congress on Evolutionary Computation. IEEE press, 2000, pp. 204-211.
11. E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. G. da Fonseca, "Performance Assessment of Multiobjective Optimizers: An Analysis and Review Evolutionary Computation, IEEE Transactions on, vol. 7, no. 2, pp. 117-132, 2003.
12. C. K. Mohan and K. G. Mehrotra, Reference set metrics for multiobjective algorithms in Proceedings of the Second international con-ference on Swarm, Evolutionary, and Memetic Computing-Volume Part I, 2011, pp. 723-730.
13. T. Okabe, Y. Jin, and B. Sendhoff, "A critical survey of performance indices for multi-objective optimisation in Evolutionary Computation, 2003. CEC '03. The 2003 Congress on, vol. 2, December 2003, pp. 878-885.
14. D. A. van Veldhuizen, G. B. Lamont, Multiobjective evolutionary algorithm test suites, in Proceedings of the 1999, ACM symposium on Applied computing. ACM, 1999, 351-357.
15. E. Zitzler, "Evolutionary algorithms for multiobjective optimization: Methods and applications " Ph.D.Thesis, Swiss Federal Institute of Technology Zurich, 1999.
16. P. Czyzak and A. Jaszkiewicz, Pareto simulated annealing- A metaheuristic technique for multiple-objective combinatorial optimization Journal of Multi-Criteria Decision Analysis, vol. 7, no. 1, pp. 34-47, 1998.
17. M. P. Hansen and A. Jaszkiewicz, "Evaluating the quality of approximations to the non-dominated set Institute of Mathematical Modeling, Technical University of Denmark, Tech. Rep. IMM-REP-1998-7, 1998.
18. E. Zitzler, L. Thiele, Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach Evolutionary Computation, IEEE Transactions on 3, 4, 257-271, 1999.
19. -, Multiobjective optimization using evolutionary algorithms-A comparative case study " in In Parallel Problem Solving from Nature. PPSN-V, 1998, pp. 292-301.
20. 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, pp. 182-197, 2002.
21. Q. Zhang, H. Li, MOEA/D: A multiobjective evolutionary algorithm based on decomposition, Evolutionary Computation IEEE Transactions, 712-731, 2007.
22. K. Miettinen, Nonlinear Multiobjective Optimization. Norwell, MA: Kluwer, 1999.