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2019 | OriginalPaper | Chapter

A Variable Neighborhood Search Approach for Solving the Multidimensional Multi-Way Number Partitioning Problem

Authors : Alexandre Frias Faria, Sérgio Ricardo de Souza, Marcone Jamilson Freitas Souza, Carlos Alexandre Silva, Vitor Nazário Coelho

Published in: Variable Neighborhood Search

Publisher: Springer International Publishing

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Abstract

This paper presents an implementation of the Variable Neighborhood Search (VNS) metaheuristic for solving the optimization version of the Multidimensional Multi-Way Number Partitioning Problem (MDMWNPP). This problem consists in distributing the vectors of a given sequence into k disjoint subsets such that the sums of each subset form a set of vectors with minimum diameter. The proposed VNS for solving MDMWNPP has a good performance over instances with three and four subsets. A comparative study of results found from this proposed VNS and an implementation of Memetic Algorithm (MA) is carried out, running in the same proportional time interval. Although the average results are different, the statistical tests show that results of the proposed VNS are not significantly better than MA in a set of instances analyzed.

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Metadata
Title
A Variable Neighborhood Search Approach for Solving the Multidimensional Multi-Way Number Partitioning Problem
Authors
Alexandre Frias Faria
Sérgio Ricardo de Souza
Marcone Jamilson Freitas Souza
Carlos Alexandre Silva
Vitor Nazário Coelho
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-15843-9_19

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