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A multi-objective heuristic approach for the casualty collection points location problem

Drezner, T., Drezner, Zvi, Salhi, Said (2006) A multi-objective heuristic approach for the casualty collection points location problem. Journal of the Operational Research Society, 57 (6). pp. 727-734. ISSN 0160-5682. (doi:10.1057/palgrave.jors.2602047) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:5224)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1057/palgrave.jors.2602047

Abstract

In this paper, we formulate the casualty collection points (CCPs) location problem as a multi-objective model. We propose a minimax regret multi-objective (MRMO) formulation that follows the idea of the minimax regret concept in decision analysis. The proposed multi-objective model is to minimize the maximum per cent deviation of individual objectives from their best possible objective function value. This new multi-objective formulation can be used in other multi-objective models as well. Our specific CCP model consists of five objectives. A descent heuristic and a tabu search procedure are proposed for its solution. The procedure is illustrated on Orange County, California.

Item Type: Article
DOI/Identification number: 10.1057/palgrave.jors.2602047
Uncontrolled keywords: multi-objective; casualty collection points; facility location; heuristics
Subjects: H Social Sciences
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User: Said Salhi
Date Deposited: 17 Sep 2008 11:45 UTC
Last Modified: 08 Feb 2020 04:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/5224 (The current URI for this page, for reference purposes)
Salhi, Said: https://orcid.org/0000-0002-3384-5240
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