Application of a fuzzy programming through stochastic particle swarm optimization to assessment of filter management strategies in fluid power system under uncertainty

DOI10.1007/S10957-012-0152-0zbMath1266.90208OpenAlexW2004719785MaRDI QIDQ1955573

Yanyan Li

Publication date: 14 June 2013

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-012-0152-0

zbMATH Keywords

L-R fuzzy numbersconstraint-handlingfluid power systemstochastic particle swarm optimization

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

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Cites Work

• Filter allocation and replacement strategies in fluid power system under uncertainty: a fuzzy robust nonlinear programming approach
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• A displayed inventory model with L-R fuzzy number
• New approaches for the comparison of L-R fuzzy numbers: A theoretical and operational analysis

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