A multi-objective particle swarm optimizer hybridized with scatter search

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

Volumn 4293 LNAI, Issue , 2006, Pages 294-304

  Santana Quintero, Luis V ^a   Ramírez, Noel ^a   Coello, Carlos Coello ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CONVERGENCE OF NUMERICAL METHODS; OPTIMIZATION; PARETO PRINCIPLE;

OPTIMIZATION ALGORITHMS; PARETO FRONTS; PARTICLE SWARM OPTIMIZATION (PSO);

EVOLUTIONARY ALGORITHMS;

EID: 33845995837     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11925231_28     Document Type: Conference Paper

References (16)

1. Carlos A. Coello Coello, David A. Van Veldhuizen, and Gary B. Lamont. Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, New York, May 2002. ISBN 0-3064-6762-3.
2. Kalyanmoy Deb. Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons, 2001. ISBN 0-471-87339-X.
3. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and T. Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182-197, April 2002.
4. Kalyanmoy Deb, Lothar Thiele, Marco Laumanns, and Eckart Zitzler. Scalable Test Problems for Evolutionary Multiobjective Optimization. In Ajith Abraham, Lakhmi Jain, and Robert Goldberg, editors, Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pages 105-145. Springer, USA, 2005.
5. Larry J. Eshelman and J. Davis Schaffer. Real-coded Genetic Algorithms and Interval-Schemata. In L. Darrell Whitley, editor, Foundations of Genetic Algorithms 2, pages 187-202. Morgan Kaufmann Publishers, California, 1993.
6. Fred Glover, Heuristic for integer programming using surrogate constraints. Decision Sciences 8, pages 156-166, 1977.
7. Fred Glover. Tabu search for nonlinear and parametric optimization (with links to genetic algorithms). Discrete Applied Mathematics, 49(1-3):231-255, 1994.
8. Fred Glover. A template for scatter search and path relinking. In AE '97: Selected Papers from the Third European Conference on Artificial Evolution, pages 13-54, London, UK, 1998. Springer-Verlag.
9. James Kennedy and Russell C. Eberhart. Swarm Intelligence. Morgan Kaufmann Publishers, California, USA, 2001.
10. Frank Kursawe. A Variant of Evolution Strategies for Vector Optimization. In H. P. Schwefel and R. Männer, editors, Parallel Problem Solving from Nature. 1st Workshop, PPSN I, volume 496 of Lecture Notes in Computer Science Vol. 496, pages 193-197, Berlin, Germany, October 1991. Springer-Verlag.
11. Manuel Laguna and Rafael Martí. Scatter Search: Methodology and Implementations in C. Kluwer Academic Publishers, 2003.
12. Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, and Eckart Zitzler. Combining convergence and diversity in evolutionary multi-objective optimization. Evolutionary Computation, 10(3):263-282, Fall 2002.
13. Sanaz Mostaghim and Jürgen Teich, Strategies for Finding Good Local Guides in Multi-objective Particle Swarm Optimization (MOPSO), In 2003 IEEE SIS Proceedings, pages 26-33, Indianapolis, USA, April 2003. IEEE Service Center.
14. Margarita Reyes-Sierra and Carlos A. Coello Coello. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art. International Journal of Computational Intelligence Research, 2(3):287-308, 2006.
15. David A. Van Veldhuizen. 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, May 1999.
16. Eckart Zitzsler, Kalyanmoy Deb, and Lothar Thiele, Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation, 8(2):173-195, Summer 2000.