Integrating partial optimization with scatter search for solving bi-criteria {0,1}-knapsack problems [An article from: European Journal of Operational Research] Buy on Amazon

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Integrating partial optimization with scatter search for solving bi-criteria {0,1}-knapsack problems [An article from: European Journal of Operational Research]

Book Details

PublisherElsevier
ISBN / ASINB000PC02HO
ISBN-13978B000PC02H0
MarketplaceUnited Kingdom  🇬🇧

Description

This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
This paper deals with the problem of inaccuracy of the solutions generated by metaheuristic approaches for combinatorial optimization bi-criteria {0,1}-knapsack problems. A hybrid approach which combines systematic and heuristic searches is proposed to reduce that inaccuracy in the context of a scatter search method. The components of this method are used to determine regions in the decision space to be systematically searched. Comparisons with small and medium size instances solved by exact methods are presented. Large size instances are also considered and the quality of the approximation is evaluated by taking into account the proximity to the upper frontier, devised by the linear relaxation, and the diversity of the solutions. Comparisons with other two well-known metaheuristics are also performed. The results show the effectiveness of the proposed approach for both small/medium and large size instances.
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