Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/15762
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Liefooghe, Arnaud
Jourdan, Laetitia
Basseur, Matthieu
Talbi, El-Ghazali
Burke, Edmund
Contact Email: e.k.burke@stir.ac.uk
Title: Metaheuristics for the bi-objective ring star problem
Editor(s): van Hemert, J
Cotta, C
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 (eds.) Evolutionary Computation in Combinatorial Optimization: 8th European Conference, EvoCOP 2008, Naples, Italy, March 26-28, 2008. Proceedings. Lecture Notes in Computer Science, 4972. 8th European Conference, EvoCOP 2008: » Evolutionary Computation in Combinatorial Optimization, Naples, Italy, 26.03.2008-28.03.2008. Berlin Heidelberg: Springer, pp. 206-217. http://link.springer.com/chapter/10.1007%2F978-3-540-78604-7_18; https://doi.org/10.1007/978-3-540-78604-7_18
Issue Date: 2008
Date Deposited: 3-Jul-2013
Series/Report no.: Lecture Notes in Computer Science, 4972
Conference Name: 8th European Conference, EvoCOP 2008: » Evolutionary Computation in Combinatorial Optimization
Conference Dates: 2008-03-26 - 2008-03-28
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: VoR - Version of Record
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
URL: http://link.springer.com/chapter/10.1007%2F978-3-540-78604-7_18
Licence URL(s): http://www.rioxx.net/licenses/under-embargo-all-rights-reserved

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