Stochastic ranking particle swarm optimization for constrained engineering design problems

dc.contributor.author	Sabat, Samrat L.
dc.contributor.author	Ali, Layak
dc.contributor.author	Udgata, Siba K.
dc.date.accessioned	2022-03-27T06:44:05Z
dc.date.available	2022-03-27T06:44:05Z
dc.date.issued	2010-12-01
dc.description.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.
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v.6466 LNCS
dc.identifier.issn	03029743
dc.identifier.uri	10.1007/978-3-642-17563-3_79
dc.identifier.uri	http://link.springer.com/10.1007/978-3-642-17563-3_79
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/9977
dc.subject	Constrained optimization
dc.subject	particle swarm optimization
dc.subject	stochastic ranking
dc.title	Stochastic ranking particle swarm optimization for constrained engineering design problems
dc.type	Book Series. Conference Paper
dspace.entity.type

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