Combining metaheuristics with mathematical programming, constraint programming and machine learning

During the last years, interest on hybrid metaheuristics has risen considerably in the field of optimization and machine learning. The best results found for many optimization problems in science and industry are obtained by hybrid optimization algorithms. Combinations of optimization tools such as...

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Veröffentlicht in:	Annals of operations research Jg. 240; H. 1; S. 171 - 215
1. Verfasser:	Talbi, El-Ghazali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.05.2016 Springer Springer Nature B.V Springer Verlag
Schlagworte:	Algorithms Artificial intelligence Business and Management Combinations (mathematics) Combinatorics Communities Computer Science Cooperation Data mining Heuristic Heuristic methods Hybridization Machine learning Management research Mathematical optimization Mathematical programming Operations Research Operations Research/Decision Theory Optimization Optimization algorithms Programming SI: 4OR Surveys Studies Taxonomy Theory of Computation Traveling salesman problem Hybrid metaheuristics Data mining Constraint programming Machine learning Matheuristics Mathematical programming
ISSN:	0254-5330, 1572-9338
Online-Zugang:	Volltext
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