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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.

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Published date: August 2001

Identifiers

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

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Date deposited: 22 May 2006
Last modified: 15 Jul 2019 19:05

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Contributors

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

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