Using intelligent backtracking to improve branch-and-bound methods: An application to open-shop problems

Using intelligent backtracking to improve branch-and-bound methods: An application to open-shop problems

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Article ID: iaor20011789
Country: Netherlands
Volume: 127
Issue: 2
Start Page Number: 344
End Page Number: 354
Publication Date: Dec 2000
Journal: European Journal of Operational Research
Authors: , ,
Keywords: programming: branch and bound
Abstract:

Only two branch-and-bound methods have been published so far for the Open-Shop problem. The best one has been proposed by Brucker et al. But some square problems from size 7 remain still unsolved with it. We present an improving technique for branch-and-bound methods applied to Brucker et al.'s algorithm for Open-Shop problems. Our technique is based on intelligent backtracking. An adaptation of a generic explanation system we have initially developed in the constraint programming scheme is used to develop that technique. We tested our approach on Open-Shop problems from the literature (benchmarks of Taillard). The search is definitely improved: on some square problems of size 10, the number of backtracks is reduced by more than 90% and we even solved an open problem of that size.

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