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The extended concentric tabu for the quadratic assignment problem
Institution:1. Department of Information Engineering, University of Brescia, Via Branze 38 - 25123 Brescia, Italy;2. H Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, 755 Ferst Drive, NW, Atlanta, GA 30332, USA;1. University of California, Los Angeles, USA;2. ICAR-CNR, Rende 87036, Cosenza, Italy;1. School of Management, Huazhong University of Science and Technology, No. 1037, Luoyu Road, Wuhan, China;2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom
Abstract:In this paper we propose to extend the concentric tabu search for the quadratic assignment problem to include more permissible moves. Two extensions are suggested and tested. The computational comparisons with existing hybrid genetic algorithms provide comparable solutions to the best available algorithms.
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