Salhi, Said and Thompson, Jonathan (2022) An Overview of Heuristics and Metaheuristics. In: The Palgrave Handbook of Operations Research. Palgrave Macmillan, pp. 353-403. E-ISBN 978-3-030-96935-6. (doi:10.1007/978-3-030-96935-6_11) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:96240)
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Official URL: https://doi-org.chain.kent.ac.uk/10.1007/978-3-030... |
Abstract
There are numerous optimisation problems for which heuristics are currently the only practical solution method. This chapter explains the need for heuristics before providing a brief overview of heuristic search techniques including metaheuristics. These include traditional local search methods including simulated annealing and tabu search, population methods including genetic algorithms and ant colony optimisation and more recently proposed methods such as harmony search and particle swarm optimisation. Examples are provided from successful applications and we will also discuss potential future research avenues.
Item Type: | Book section |
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DOI/Identification number: | 10.1007/978-3-030-96935-6_11 |
Subjects: | H Social Sciences |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Said Salhi |
Date Deposited: | 16 Aug 2022 13:29 UTC |
Last Modified: | 06 Nov 2023 12:05 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/96240 (The current URI for this page, for reference purposes) |
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