Employing “Particle Swarm Optimization” and “Fuzzy Ranking Functions” for Direct Solution of EOQ Problem

DOI10.1007/978-3-540-87477-5_4zbMath1160.90711OpenAlexW1556864861WikidataQ57747911 ScholiaQ57747911MaRDI QIDQ3627670

Adil Baykasoǧlu, Tolunay Gocken

Publication date: 13 May 2009

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-87477-5_4

zbMATH Keywords

EOQparticle swarm optimizationfuzzy ranking functions

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Cites Work

• Ranking fuzzy numbers with integral value.
• Using fuzzy sets in operational research
• An application of swarm optimization to nonlinear programming
• Linear programming with fuzzy parameters: an interactive method resolution
• Multi-objective inventory models of deteriorating items with some constraints in a fuzzy environment.
• Ranking fuzzy numbers based on decomposition principle and signed distance.
• RANKING FUZZY NUMBERS THROUGH THE COMPARISON OF ITS EXPECTED INTERVALS
• Fuzzy economic order quantity inventory models without backordering
• DESCRIPTION AND OPTIMIZATION OF FUZZY SYSTEMS

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