Automatic design of hybrid stochastic local search algorithms for permutation flowshop problems with additional constraints

Automatic design of stochastic local search algorithms has been shown to be very effective in generating algorithms for the permutation flowshop problem for the most studied objectives including makespan, flowtime and total tardiness. The automatic design system uses a configuration tool to combine...

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Veröffentlicht in:Operations Research Perspectives Jg. 8; S. 1 - 17
Hauptverfasser: Pagnozzi, Federico, Stützle, Thomas G
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier 2021
Elsevier Ltd
Schlagworte:
Automatic algorithm design
Combinatorial optimization
No-idle
Permutation flowshop problem
Sequence dependent setup times
Stochastic local search algorithms
Sequence dependent setup times
Permutation flowshop problem
Stochastic local search algorithms
No-idle
Combinatorial optimization
Automatic algorithm design
ISSN:2214-7160, 2214-7160
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Zusammenfassung:Automatic design of stochastic local search algorithms has been shown to be very effective in generating algorithms for the permutation flowshop problem for the most studied objectives including makespan, flowtime and total tardiness. The automatic design system uses a configuration tool to combine algorithmic components following a set of rules defined as a context-free grammar. In this paper we use the same system to tackle two of the most studied additional constraints for these objectives: sequence dependent setup times and no-idle constraint. Additional components have been added to adapt the system to the new problems while keeping intact the grammar structure and the experimental setup. The experiments show that the generated algorithms outperform the state of the art in each case.
ISSN:2214-7160
2214-7160
DOI:10.1016/j.orp.2021.100180