2010 | OriginalPaper | Buchkapitel
Stochastic Ranking Particle Swarm Optimization for Constrained Engineering Design Problems
verfasst von : Samrat L. Sabat, Layak Ali, Siba K. Udgata
Erschienen in: Swarm, Evolutionary, and Memetic Computing
Verlag: Springer Berlin Heidelberg
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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.