A multi-objective production scheduling case study solved by simulated annealing

DOI10.1016/j.ejor.2005.03.073zbMath1163.90498OpenAlexW2151576596MaRDI QIDQ863984

Philippe Fortemps, Jacques jun. Teghem, Taïcir Loukil

Publication date: 12 February 2007

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.03.073

zbMATH Keywords

production schedulingsimulated annealingapplication

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35)

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Cites Work

• An integrated approach for modeling and solving the general multiprocessor job-shop scheduling problem using tabu search
• An interactive heuristic method for multi-objective combinatorial optimization
• Pareto-optimality approach for flexible job-shop scheduling problems: Hybridization of evolutionary algorithms and fuzzy logic
• Solving multi-objective production scheduling problems using metaheuristics
• Performance of the MOSA method for the bicriteria assignment problem
• Optimal scheduling of the 3-machine assembly-type flow shop
• MOSA method: a tool for solving multiobjective combinatorial optimization problems
• Handbook of metaheuristics
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