Particle swarm optimization combined with genetic operators for job shop scheduling problem with fuzzy processing time

DOI10.1016/j.amc.2008.05.086zbMath1175.90187OpenAlexW2037597655MaRDI QIDQ2378748

Bin Jiao, Qun Niu, Xingsheng Gu

Publication date: 14 January 2009

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2008.05.086

zbMATH Keywords

fuzzy setsjob shop schedulingmakespangenetic algorithmprocessing timeparticle swarm optimization (PSO)

Mathematics Subject Classification ID

Nonlinear programming (90C30) Deterministic scheduling theory in operations research (90B35) Theory of fuzzy sets, etc. (03E72)

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Cites Work

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• Real-time task scheduling with fuzzy deadlines and processing times
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• A similar particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan
• The Shifting Bottleneck Procedure for Job Shop Scheduling
• Fuzzy sets
• Outline for a Logical Theory of Adaptive Systems

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