Stochastic local search and parameters recommendation: a case study on flowshop problems

The Algorithm Selection Problem (ASP) considers the use of previous knowledge regarding problem features and algorithm performance to recommend the best strategy to solve a previously unseen problem. In the application context, the usual ASP for optimization considers recommending the best heuristic...

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Veröffentlicht in:	International transactions in operational research Jg. 30; H. 2; S. 774 - 799
Hauptverfasser:	Pavelski, Lucas M., Delgado, Myriam, Kessaci, Marie‐Éléonore, Freitas, Alex A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.03.2023 Wiley
Schlagworte:	algorithm selection problem Algorithms automatic algorithm configuration Computer Science Configurations Decision trees Discrete Mathematics flowshop Machine learning Mathematical models Operations Research Optimization Parameters Permutations stochastic local search
ISSN:	0969-6016, 1475-3995
Online-Zugang:	Volltext
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