Stochastic ranking particle swarm optimization for constrained engineering design problems
Stochastic ranking particle swarm optimization for constrained engineering design problems
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Date
2010-12-01
Authors
Sabat, Samrat L.
Ali, Layak
Udgata, Siba K.
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Abstract
This paper presents a novel hybrid algorithm by integrating particle swarm optimization with stochastic ranking for solving standard constrained engineering design problems. The proposed hybrid algorithm uses domain independent characteristics of stochastic ranking and faster convergence of particle swarm optimization. Performance comparison of the proposed algorithm with other popular techniques through comprehensive experimental investigations establishes the effectiveness and robustness of the proposed algorithm for solving engineering design problems. © 2010 Springer-Verlag.
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Keywords
Constrained optimization,
particle swarm optimization,
stochastic ranking
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v.6466 LNCS