Operations Research Perspectives (Jan 2017)

Automatic instantiation of a Variable Neighborhood Descent from a Mixed Integer Programming model

  • Tommaso Adamo,
  • Gianpaolo Ghiani,
  • Emanuela Guerriero,
  • Emanuele Manni

DOI
https://doi.org/10.1016/j.orp.2017.09.001
Journal volume & issue
Vol. 4
pp. 123 – 135

Abstract

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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. Keywords: Mixed Integer Programming, Variable Neighborhood Descent, Semantic features