A Memory Adaptive Reasoning Technique for Solving the Capacitated Minimum Spanning Tree Problem
Journal of Heuristics, No. 5, 1999, pp. 159-180
University of Alberta School of Business Research Paper No. 2013-1083
Posted: 2 Jul 2013
Date Written: June 1, 1998
Abstract
In this paper we propose a hybrid memory adaptive heuristic for solving the Capacitated Minimum Spanning Tree (CMST) problem. We augment the problem formulation with additional non-redundant constraints via use of adaptive memory, to improve upon the performance of an elementary heuristic (the Esau-Williams heuristic). Our methodology is tested against many of the previously reported heuristics for the CMST. We conclude that our generalized procedure performs on par with the best of these approaches in terms of solution quality, while expending a very modest amount of computational effort.
Keywords: capacitated minimum spanning tree, heuristic search, telecommunications network design
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