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Variable neighborhood search: basics and variants

Abstract : Variable neighborhood search (VNS) is a framework for building heuristics, based upon systematic changes of neighborhoods both in a descent phase, to find a local minimum, and in a perturbation phase to escape from the corresponding valley. In this paper, we present some of VNS basic schemes as well as several VNS variants deduced from these basic schemes. In addition, the paper includes parallel implementations and hybrids with other metaheuristics.
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https://hal-uphf.archives-ouvertes.fr/hal-03401113
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Submitted on : Monday, October 25, 2021 - 11:48:14 AM
Last modification on : Wednesday, November 3, 2021 - 5:22:09 AM

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Pierre Hansen, Nenad Mladenovic, Raca Todosijević, Said Hanafi. Variable neighborhood search: basics and variants. EURO Journal on Computational Optimization, Springer, 2017, 5 (3), pp.423-454. ⟨10.1007/s13675-016-0075-x⟩. ⟨hal-03401113⟩

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