A two-level particle swarm optimisation algorithm for open-shop scheduling problem
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Publication:2224146
DOI10.1504/IJCSM.2016.081693zbMATH Open1453.90075OpenAlexW2570172368MaRDI QIDQ2224146
Pisut Pongchairerks, Voratas Kachitvichyanukul
Publication date: 3 February 2021
Published in: International Journal of Computing Science and Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1504/ijcsm.2016.081693
Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)
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New efficient heuristics for scheduling open shops with makespan minimization ⋮ A genetic algorithm for scheduling open shops with conflict graphs to minimize the makespan ⋮ Four decades of research on the open-shop scheduling problem to minimize the makespan ⋮ Dynamic programming approach for solving the open shop problem ⋮ A novel coupling algorithm based on glowworm swarm optimization and bacterial foraging algorithm for solving multi-objective optimization problems
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