Optimization algorithm for constrained and unconstrained problems

2009 IEEE Congress on Evolutionary Computation, CEC 2009

Volumn , Issue , 2009, Pages 2919-2926

  Sindhya, Karthik ^a,b   Sinha, Ankur ^a   Deb, Kalyanmoy ^a,c   Miettinen, Kaisa ^b  

^a HELSINKI SCHOOL OF ECONOMICS   (Finland)

^b UNIVERSITY OF JYVÄSKYLÄ   (Finland)

^c INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONALLY EFFICIENT; CONVERGENT PROCEDURE; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; LOCAL SEARCH; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; NONDOMINATED SOLUTIONS; OPTIMIZATION ALGORITHMS; TEST PROBLEM;

COMPUTATIONAL EFFICIENCY; CONSTRAINED OPTIMIZATION; MATHEMATICAL PROGRAMMING; MULTIOBJECTIVE OPTIMIZATION;

EVOLUTIONARY ALGORITHMS;

EID: 70450014566     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4983310     Document Type: Conference Paper

References (17)

1. K. Deb, Multi-objective Optimization using Evolutionary Algorithms. Wiley, Chichester, UK, 2001.
2. M. Laumanns, L. Thiele, K. Deb, and E. Zitzler, "Combining convergence and diversity in evolutionary multi-objective optimization, " Evolutionary Computation, vol.10, no.3, pp. 263-282, 2002.
3. C. Grosan, A. Abraham, and H. Ishibuchi, Hybrid evolutionary algorithms, ser. Studies in Computational Intelligence. Springer, 2007, vol.75.
4. H. Ishibuchi and T. Murata, "A multi-objective genetic local search algorithm and its application to flowshop scheduling, " IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Reviews, vol. 28, no. 3, pp. 392-403, 1998.
5. A. Jaszkiewicz, "Genetic local search for multiple objective combinatorial optimization, " European Journal of Operational research, vol.137, no.1, pp. 50-71, 2002.
6. T. Goel and K. Deb, "Hybrid methods for multi-objective evolutionary algorithms, " in Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), L. Wang, K. C. Tan, T. Furuhashi, J. H. Kim, and X. Yao, Eds., vol.1. Nanyang Technical University, 2002, pp. 188-192.
7. C. A. C. Coello, G. B. Lamont, and D. A. V. Veldhuizen, Evolutionary Algorithms for solving Multi-Objective Problems, 2nd ed., ser. Genetic and Evolutionary Computation, D. E. Goldberg and J. R. Koza, Eds. Springer, 2007.
8. K. Sindhya, K. Deb, and K. Miettinen, "A local search based evolutionary multiobjective approach for fast and accurate convergence, " in Parallel Problem Solving from Nature - PPSN X, ser. Lecture Notes in Computer Science, vol.5199/2008. Springer Berlin/Heidelberg, 2008, pp. 815-824.
9. K. Miettinen, Nonlinear Multiobjective Optimization. Kluwer, Boston, 1999.
10. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler, "Scalable multiobjective optimization test problems, " in Congress on Evolutionary Computation (CEC 2002), vol.1. IEEE Press, 2002, pp. 825-830.
11. A. P. Wierzbicki, "The use of reference objectives in multiobjective optimization, " in MCDM theory and Application, ser. Lecture Notes in Economics and Mathematical Systems, G. Fandel and T. Gal, Eds., vol.177. Springer-Verlag, 1980, pp. 468-486.
12. K. Deb, S. Agarwal, A. Pratap, and T. Meyarivan, "A fast and elitist multi-objective genetic algorithm: NSGA - II, " IEEE Transactions on Evolutionary Computation, vol.6, no.2, pp. 182-197, 2002.
13. J. B. MacQueen, "Some methods for classification and analysis of multivariate observations, " in Proceedings of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, Eds., vol.1. University of California Press, 1967, pp. 281-297.
14. Q. Zhang, A. Zhao, P. N. Suganthan, W. Liu, and S. Tiwari, "Multiobjective optimization test instances for the CEC09 special session and competition, " University of Essex and Nanyang Technological University, Technical Report CES-487, 2008.
15. R. H. Byrd, J. Nocedal, and R. A. Waltz, "KNITRO: An integrated package for nonlinear optimization, " in Large-Scale Nonlinear Optimization, G. di Pillo and M. Roma, Eds. Springer-Verlag, 2006, pp. 35-59.
16. K. Deb, A. Sinha, and S. Kukkonen, "Multi-objective test problems, linkages, and evolutionary methodologies, " in GECCO '06: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO - 2006). ACM, 2006, pp. 1141-1148.
17. C. A. C. Coello, "Theoritical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art, " Computer Methods in Applied Mechanics and Engineering, vol.191, pp. 1245-1287, 2002.