Input data and source code for "A hybrid VNS/Iterated local search algorithm for solving the obnoxious p-median problem"

Name: Input data and source code for "A hybrid VNS/Iterated local search algorithm for solving the obnoxious p-median problem"
Creator: qing zhou
Published: 2021-09-15T21:31:55.551Z
Keywords: Artificial Intelligence, Combinatorial Optimization, Facility Location

zhou, qing

doi:10.17632/8x49vwsnhb.1

Input data and source code for "A hybrid VNS/Iterated local search algorithm for solving the obnoxious p-median problem"

Published: 15 September 2021| Version 1 | DOI: 10.17632/8x49vwsnhb.1

Contributor:

qing zhou

Description

This data includes all the input data for the test instances used in the experiments together with the source code. The input data consists of 144 benchmarks generated in the paper "José M. Colmenar, Peter Greistorfer, Rafael Martí, Abraham Duarte. Advanced greedy randomized adaptive search procedure for the obnoxious p-median problem. European Journal of Operational Research, 252(2), 432-442, 2016"

Input data and source code for "A hybrid VNS/Iterated local search algorithm for solving the obnoxious p-median problem"

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