Hybrid Taguchi-based particle swarm optimization for flowshop scheduling problem

DOI10.1007/s13369-013-0756-1zbMath1390.90597OpenAlexW2124204051MaRDI QIDQ1639843

Ching-Kao Chang, Jyh-Horng Chou, Ching-I Yang

Publication date: 13 June 2018

Published in: Arabian Journal for Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13369-013-0756-1

zbMATH Keywords

fuzzy inference systemflowshop scheduling problemdynamic weightTaguchi-based crossover

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

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Cites Work

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• A hybrid genetic local search algorithm for the permutation flowshop scheduling problem
• New multi-objective method to solve reentrant hybrid flow shop scheduling problem
• Genetic algorithms for the two-stage bicriteria flowshop problem
• A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem
• Genetic local search for multi-objective flowshop scheduling problems
• Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization

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