Application of a fuzzy programming through stochastic particle swarm optimization to assessment of filter management strategies in fluid power system under uncertainty
type: Item
instance of: scholarly article
title: Application of a fuzzy programming through stochastic particle swarm optimization to assessment of filter management strategies in fluid power system under uncertainty
zbMATH Open document ID: 1266.90208
author: Yanyan Li
published in: Journal of Optimization Theory and Applications
publication date: 2013-06-14T00:00:00Z
Mathematics Subject Classification ID: 90C70
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 6176141
zbMATH Keywords: fluid power system
zbMATH Keywords: L-R fuzzy numbers
zbMATH Keywords: stochastic particle swarm optimization
zbMATH Keywords: constraint-handling
MaRDI profile type: Publication
full work available at URL: s10957-012-0152-0
OpenAlex ID: W2004719785
cites work: A displayed inventory model with L-R fuzzy number
cites work: New approaches for the comparison of L-R fuzzy numbers: A theoretical and operational analysis
cites work: Filter allocation and replacement strategies in fluid power system under uncertainty: a fuzzy robust nonlinear programming approach
cites work: Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
DOI: 10.1007/S10957-012-0152-0
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description: scientific article; zbMATH DE number 6176141