A general framework for local search applied to the continuous p-median problem

Brimberg, Jack and Salhi, S. (2019) A general framework for local search applied to the continuous p-median problem. In: Eiselt, H. A. and Marianov, Vladimir, eds. Contributions to Location Analysis. International Series in Operations Research & Management Science book series, 281 . Springer, pp. 89-108. ISBN 978-3-030-19110-8. E-ISBN 978-3-030-19111-5. (doi:10.1007/978-3-030-19111-5) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:77724)

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Official URL: https://doi.org/10.1007/978-3-030-19111-5

Abstract

This chapter reviews the p-median problem in continuous space with an emphasis on some recent heuristics developed to solve it. These heuristics generally use a well-known local search known as Cooper’s algorithm, which alternately solves the location and allocation phases of the problem. We develop a general framework for unifying the different versions of Cooper’s algorithm and for constructing new ones. Some discussion on degenerate solutions and their relation to saddle points, and the possible exploitation of such solutions, is also given.

Item Type:	Book section
DOI/Identification number:	10.1007/978-3-030-19111-5
Uncontrolled keywords:	continuous p-median problem, local search, degenerate solutions, saddle points
Divisions:	Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User:	Said Salhi
Date Deposited:	22 Oct 2019 14:28 UTC
Last Modified:	07 Oct 2021 14:48 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/77724 (The current URI for this page, for reference purposes)

University of Kent Author Information

Salhi, S..

Creator's ORCID:	https://orcid.org/0000-0002-3384-5240
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