The University of Southampton
University of Southampton Institutional Repository

Hybridising tabu search with optimisation techniques for irregular stock-cutting

Hybridising tabu search with optimisation techniques for irregular stock-cutting
Hybridising tabu search with optimisation techniques for irregular stock-cutting
Sequential meta-heuristic implementations for the irregular stock-cutting problem have highlighted a number of common problems. The literature suggests a consensus that it is more efficient to allow configurations with overlapping pieces in the solution space and to penalise these in the evaluation function. However, depending on the severity of the penalty this relaxation results in a tendency to converge toward infeasible solutions or to seek out feasible solutions at the expense of overall quality. A further problem is encountered in defining a neighbourhood search strategy that can deal with the infinite solution space inherent in the irregular stock-cutting problem. The implementation in this paper adopts a hybrid tabu search approach that incorporates two very different optimisation routines that utilise alternative neighbourhoods to address the described problems.
0025-1909
1160-1172
Bennell, Julia A.
38d924bc-c870-4641-9448-1ac8dd663a30
Dowsland, Kathryn A.
ac0e1a5b-11d5-428c-979a-dc758bb15ac0
Bennell, Julia A.
38d924bc-c870-4641-9448-1ac8dd663a30
Dowsland, Kathryn A.
ac0e1a5b-11d5-428c-979a-dc758bb15ac0

Bennell, Julia A. and Dowsland, Kathryn A. (2001) Hybridising tabu search with optimisation techniques for irregular stock-cutting. Management Science, 47 (8), 1160-1172. (doi:10.1287/mnsc.47.8.1160.10230).

Record type: Article

Abstract

Sequential meta-heuristic implementations for the irregular stock-cutting problem have highlighted a number of common problems. The literature suggests a consensus that it is more efficient to allow configurations with overlapping pieces in the solution space and to penalise these in the evaluation function. However, depending on the severity of the penalty this relaxation results in a tendency to converge toward infeasible solutions or to seek out feasible solutions at the expense of overall quality. A further problem is encountered in defining a neighbourhood search strategy that can deal with the infinite solution space inherent in the irregular stock-cutting problem. The implementation in this paper adopts a hybrid tabu search approach that incorporates two very different optimisation routines that utilise alternative neighbourhoods to address the described problems.

This record has no associated files available for download.

More information

Published date: August 2001

Identifiers

Local EPrints ID: 35686
URI: http://eprints.soton.ac.uk/id/eprint/35686
ISSN: 0025-1909
PURE UUID: 8310fa92-b6e7-4095-8fc2-366f36c5f7b4

Catalogue record

Date deposited: 22 May 2006
Last modified: 15 Mar 2024 07:53

Export record

Altmetrics

Contributors

Author: Julia A. Bennell
Author: Kathryn A. Dowsland

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×