Connectedness and Local Search for Bicriteria Knapsack Problems
Identifieur interne : 002727 ( Main/Exploration ); précédent : 002726; suivant : 002728Connectedness and Local Search for Bicriteria Knapsack Problems
Auteurs : Arnaud Liefooghe [France] ; Luís Paquete [Portugal] ; Marco Sim Es [Portugal] ; José R. Figueira [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: This article reports an experimental study on a given structural property of connectedness of optimal solutions for two variants of the bicriteria knapsack problem. A local search algorithm that explores this property is then proposed and its performance is compared against exact algorithms in terms of running time and number of optimal solutions found. The experimental results indicate that this simple local search algorithm is able to find a representative set of optimal solutions in most of the cases, and in much less time than exact approaches.
Url:
- https://api.istex.fr/ark:/67375/HCB-SFW4H26L-1/fulltext.pdf
- https://hal.archives-ouvertes.fr/hal-00575922
DOI: 10.1007/978-3-642-20364-0_5
Affiliations:
- France, Portugal
- Hauts-de-France, Nord-Pas-de-Calais
- Lille
- Université Lille I - Sciences et technologies, Université Lille Nord de France
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: This article reports an experimental study on a given structural property of connectedness of optimal solutions for two variants of the bicriteria knapsack problem. A local search algorithm that explores this property is then proposed and its performance is compared against exact algorithms in terms of running time and number of optimal solutions found. The experimental results indicate that this simple local search algorithm is able to find a representative set of optimal solutions in most of the cases, and in much less time than exact approaches.</div>
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