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Erscheinungsjahr: 
2017
Quellenangabe: 
[Journal:] Operations Research Perspectives [ISSN:] 2214-7160 [Volume:] 4 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2017 [Pages:] 123-135
Verlag: 
Elsevier, Amsterdam
Zusammenfassung: 
In this paper we describe the automatic instantiation of a Variable Neighborhood Descent procedure from a Mixed Integer Programming model. We extend a recent approach in which a single neighborhood structure is automatically designed from a Mixed Integer Programming model using a combination of automatic extraction of semantic features and automatic algorithm configuration. Computational results on four well-known combinatorial optimization problems show improvements over both a previous model-derived Variable Neighborhood Descent procedure and the approach with a single automatically-designed neighborhood structure.
Schlagwörter: 
Mixed Integer Programming
Variable Neighborhood Descent
Semantic features
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