A hybridisation of adaptive variable neighbourhood search and large neighbourhood search: Application to the vehicle routing problem

Jeeu, Fong Sze and Said, Salhi and Niaz, Wassan (2016) A hybridisation of adaptive variable neighbourhood search and large neighbourhood search: Application to the vehicle routing problem. Expert Systems with Applications, 65. pp. 383-397. ISSN 09574174

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Abstract

In this paper, an adaptive variable neighbourhood search (AVNS) algorithm that incorporates large neighbourhood search (LNS) as a diversification strategy is proposed and applied to the capacitated vehicle routing problem. The AVNS consists of two stages: a learning phase and a multi-level VNS with guided local search. The adaptive aspect is integrated in the local search where a set of highly successful local searches is selected based on the intelligent selection mechanism. In addition, the hybridisation of LNS with the AVNS enables the solution to escape from the local minimum effectively. To make the algorithm more competitive in terms of the computing time, a simple and flexible data structure and a neighbourhood reduction scheme are embedded. Finally, we adapt a new local search move and an effective removal strategy for the LNS. The proposed AVNS was tested on the benchmark data sets from the literature and produced very competitive results

Item Type: Article
Uncontrolled Keywords: Adaptive search, Variable neighbourhood, Large neighbourhood, Data structure, Neighbourhood reduction, Hybridisation, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Ibrahim
Date Deposited: 17 Oct 2016 01:10
Last Modified: 17 Feb 2017 02:26
URI: http://ir.unimas.my/id/eprint/13926

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