EMOPSO: A multi-objective particle swarm optimizer with emphasis on efficiency

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4403 LNCS, Issue , 2007, Pages 272-285

  Toscano Pulido, Gregorio ^a,b   Coello, Carlos A Coello ^b   Santana Quintero, Luis Vicente ^b  

^a UNIVERSIDAD AUTÓNOMA DE NUEVO LEÓN   (Mexico)

^b DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; PARAMETER EXTRACTION; SELF ORGANIZING MAPS;

FITNESS FUNCTION EVALUATIONS; PARTICLE SWARM OPTIMIZER;

MULTIOBJECTIVE OPTIMIZATION;

EID: 37349044406     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-70928-2_23     Document Type: Conference Paper

References (20)

1. Reyes-Sierra, M., Coello Coello, C.A.: Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art. International Journal of Computational Intelligence Research 2(3) (2006) 287-308
2. Toscano Pulido, G.: On the Use of Self-Adaptation and Elitism for Multiobjective Particle Swarm Optimization. PhD thesis, Computer Science Section, Department of Electrical Engineering, CINVESTAV-IPN, Mexico (2005)
3. Branke, J., Mostaghim, S.: About Selecting the Personal Best in Multi-Objective Particle Swarm Optimization. In Runarsson, T.P., Beyer, H.G., Burke, E., Merelo-Guervós, J.J., Whitley, L.D., Yao, X., eds.: Parallel Problem Solving from Nature - PPSN IX, 9th International Conference. Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland (2006) 523-532
4. Toscano Pulido, G., Coello Coello, C.A.: Using Clustering Techniques to Improve the Performance of a Particle Swarm Optimizer. In et al., K.D., ed.: Genetic and Evolutionary Computation-GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Seattle, Washington, USA, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102 (2004) 225-237
5. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2) (2002) 182-197
6. Zitzler, E., Thiele, L.: Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation 3(4) (1999) 257-271
7. Knowles, J.D., Corne, D.W.: Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy. Evolutionary Computation 8(2) (2000) 149-172
8. Laumanns, M., Thiele, L., Deb, K., Zitzler, E.: Combining Convergence and Diversity in Evolutionary Multi-objective Optimization. Evolutionary Computation 10(3) (2002) 263-282
9. Veldhuizen, D.A.V.: Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations. PhD thesis, Department of Electrical and Computer Engineering. Graduate School of Engineering. Air Force Institute of Technology, Wright-Patterson AFB, Ohio (1999)
10. Zitzler, E., Deb, K., Thiele, L.: Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation 8(2) (2000) 173-195
11. Kursawe, F.: A Variant of Evolution Strategies for Vector Optimization. In Schwefel, H.P., Männer, R., eds.: Parallel Problem Solving from Nature. 1st Workshop, PPSN I. Volume 496 of Lecture Notes in Computer Science Vol. 496., Berlin, Germany, Springer-Verlag (1991) 193-197
12. Deb, K.: Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems. Evolutionary Computation 7(3) (1999) 205-230
13. van den Bergh, F.: An Analysis of Particle Swarm Optimization. PhD thesis, Faculty of Natural and Agricultural Science, University of Petoria, Pretoria, South Africa (2002)
14. Toscano-Pulido, G., Coello Coello, C.A.: A Constraint-Handling Mechanism for Particle Swarm Optimization. In: Proceedings of the Congress on Evolutionary Computation 2004 (CEC'2004). Volume 2., Piscataway, New Jersey, Portland, Oregon, USA, IEEE Service Center (2004) 1396-1403
15. Fieldsend, J.E., Singh, S.: A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and Turbulence. In: Proceedings of the 2002 U.K. Workshop on Computational Intelligence, Birmingham, UK (2002) 37-44
16. Kennedy, J., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann Publishers, San Francisco, California (2001)
17. Wolpert, D.H., Macready, W.G.: No Free Lunch Theorems for Optimization. IEEE Transactions on Evolutionary Computation 1(1) (1997) 67-82
18. Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing Company, Reading, Massachusetts (1989)
19. Deb, K., Pratap, A., Meyarivan, T.: Constrained Test Problems for Multi-objective Evolutionary Optimization. In Zitzler, E., Deb, K., Thiele, L., Coello, C.A.C., Corne, D., eds.: First International Conference on Evolutionary Multi-Criterion Optimization. Springer-Verlag. Lecture Notes in Computer Science No. 1993 (2001) 284-298
20. Deb, K.: Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons, Chichester, UK (2001) ISBN 0-471-87339-X.