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GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
15 years 8 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
ICIC
2005
Springer
15 years 8 months ago
A Sequential Niching Technique for Particle Swarm Optimization
This paper proposed a modified algorithm, sequential niching particle swarm optimization (SNPSO), for the attempt to get multiple maxima of multimodal function. Based on the sequen...
Jun Zhang, Jing-Ru Zhang, Kang Li
MICAI
2007
Springer
15 years 8 months ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...
EAAI
2008
106views more  EAAI 2008»
15 years 2 months ago
The distributed multilevel ant-stigmergy algorithm used at the electric-motor design
This article presents an optimization method used at the electric-motor design. The goal of the optimization was to find the geometrical parameter values that would generate the r...
Peter Korosec, Jurij Silc
ASIAMS
2008
IEEE
15 years 9 months ago
A Fuzzy Particle Swarm Approach to Multiobjective Quadratic Assignment Problems
The multiobjective Quadratic Assignment Problem (mQAP) is considered as one of the hardest optimization problems but with many real-world applications. Since it may not be possibl...
Mingyan Zhao, Ajith Abraham, Crina Grosan, Hongbo ...