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Local adjustments: A general algorithm
Processing a set of operations on a single processor that can handle at most one job at a time is an underlying issue of many combinatorial optimization problems, and especially classical scheduling problems, such as job-shops, flow-shops and other X-shops. The main goal of local operations is to na...
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Published in: | European journal of operational research 2005-07, Vol.164 (1), p.24-38 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Processing a set of operations on a single processor that can handle at most one job at a time is an underlying issue of many combinatorial optimization problems, and especially classical scheduling problems, such as job-shops, flow-shops and other X-shops. The main goal of local operations is to narrow the time-windows of operations for that kind of disjunctive scheduling problem.
In this paper, we investigate the properties of local adjustments and provide a unified and efficient framework for the combination of the main adjustment procedures. Beyond its rapid prototyping feature, our implementation is proved to guarantee a good stability property that finally leads to a better convergence process. Computational experiments on single machine and on job-shop scheduling problems are reported. |
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ISSN: | 0377-2217 1872-6860 |
DOI: | 10.1016/j.ejor.2003.11.020 |