Quality and robustness improvement for real world industrial systems using a fuzzy particle swarm optimization

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Quality and robustness improvement for real world industrial systems using a fuzzy particle swarm optimization

This paper presents a novel fuzzy particle swarm optimization with cross-mutated (FPSOCM) operation, where a fuzzy logic system developed based on the knowledge of swarm intelligence is proposed to determine the inertia weight for the swarm movement of particle swarm optimization (PSO) and the contr...

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Bibliographic Details
Main Authors:	Ling, S., Chan, Kit Yan, Leung, F., Jiang, F., Nguyen, H.
Format:	Journal Article
Published:	Elsevier Ltd 2015
Online Access:	http://hdl.handle.net/20.500.11937/42764

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