THE MULTISTART DROP-ADD-SWAP HEURISTIC FOR THE UNCAPACITATED FACILITY LOCATION PROBLEM
Lin-Yu Tseng, Chih-Sheng Wu
2009
Abstract
The uncapacitated facility location problem aims to select a subset of facilities to open, so that the demands of a given set of customers are satisfied at the minimum cost. In this study, we present a novel multistart Drop-Add-Swap heuristic for this problem. The proposed heuristic is multiple applications of the Drop-Add-Swap heuristic with randomly generated initial solutions. And the proposed Drop-Add-Swap heuristic begins its search with an initial solution, then iteratively applies the Drop operation, the Add operation or the Swap operation to the solution to search for a better one. Cost updating rather than recomputing is utilized, so the proposed heuristic is time efficient. With extensive experiments on most benchmarks in the literature, the proposed heuristic has been shown competitive to the state-of-the-art heuristics and metaheuristics.
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Paper Citation
in Harvard Style
Tseng L. and Wu C. (2009). THE MULTISTART DROP-ADD-SWAP HEURISTIC FOR THE UNCAPACITATED FACILITY LOCATION PROBLEM . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-99-9, pages 21-28. DOI: 10.5220/0002173100210028
in Bibtex Style
@conference{icinco09,
author={Lin-Yu Tseng and Chih-Sheng Wu},
title={THE MULTISTART DROP-ADD-SWAP HEURISTIC FOR THE UNCAPACITATED FACILITY LOCATION PROBLEM},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2009},
pages={21-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002173100210028},
isbn={978-989-8111-99-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - THE MULTISTART DROP-ADD-SWAP HEURISTIC FOR THE UNCAPACITATED FACILITY LOCATION PROBLEM
SN - 978-989-8111-99-9
AU - Tseng L.
AU - Wu C.
PY - 2009
SP - 21
EP - 28
DO - 10.5220/0002173100210028