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A Tutorial on Variable Neighborhood Search (2003)
| Venue: | LES CAHIERS DU GERAD, HEC MONTREAL AND GERAD |
| Citations: | 16 - 3 self |
BibTeX
@TECHREPORT{Hansen03atutorial,
author = {Pierre Hansen and Nenad Mladenović},
title = {A Tutorial on Variable Neighborhood Search},
institution = {LES CAHIERS DU GERAD, HEC MONTREAL AND GERAD},
year = {2003}
}
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Abstract
Variable Neighborhood Search (VNS) is a recent metaheuristic, or framework for building heuristics, which exploits systematically the idea of neighborhood change, both in the descent to local minima and in the escape from the valleys which contain them. In this tutorial we first present the ingredients of VNS, i.e., Variable Neighborhood Descent (VND) and Reduced VNS (RVNS) followed by the basic and then the general scheme of VNS itself which contain both of them. Extensions are presented, in particular Skewed VNS (SVNS) which enhances exploration of far away valleys and Variable Neighborhood Decomposition Search (VNDS), a two-level scheme for solution of large instances of various problems. In each case, we present the scheme, some illustrative examples and questions to be addressed in order to obtain an efficient implementation.
Keyphrases
variable neighborhood search particular skewed vns neighborhood change large instance efficient implementation local minimum two-level scheme illustrative example various problem building heuristic reduced vns variable neighborhood descent general scheme variable neighborhood decomposition search
