|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Title:||Metaheuristics for the bi-objective ring star problem|
|Editor(s):||van, Hemert J|
|Citation:||Liefooghe A, Jourdan L, Basseur M, Talbi E & Burke E (2008) Metaheuristics for the bi-objective ring star problem In: van Hemert J, Cotta C (ed.) Evolutionary Computation in Combinatorial Optimization: 8th European Conference, EvoCOP 2008, Naples, Italy, March 26-28, 2008. Proceedings, Berlin Heidelberg: Springer. 8th European Conference, EvoCOP 2008: » Evolutionary Computation in Combinatorial Optimization, 26.3.2008 - 28.3.2008, Naples, Italy, pp. 206-217.|
|Series/Report no.:||Lecture Notes in Computer Science, 4972|
|Conference Name:||8th European Conference, EvoCOP 2008: » Evolutionary Computation in Combinatorial Optimization|
|Conference Location:||Naples, Italy|
|Abstract:||The bi-objective ring star problem aims to locate a cycle through a subset of nodes of a graph while optimizing two types of cost. The first criterion is to minimize a ring cost, related to the length of the cycle, whereas the second one is to minimize an assignment cost, from non-visited nodes to visited ones. In spite of its natural multi-objective formulation, this problem has never been investigated in such a way. In this paper, three metaheuristics are designed to approximate the whole set of efficient solutions for the problem under consideration. Computational experiments are performed on well-known benchmark test instances, and the proposed methods are rigorously compared to each other using different performance metrics.|
|Status:||Publisher version (final published refereed version)|
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