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Goren, Hacer Guner; Tunali, Semra; Jans, Raf
{ "DOI": "10.1080/00207543.2011.559486", "abstract": "The capacitated lot sizing problem with setup carryover deals with the issue of planning multiple products on a single machine. A setup can be carried over from one period to the next by incorporating the partial sequencing of the first and last product. This study proposes a novel hybrid approach by combining Genetic Algorithms (GAs) and a Fix-and-Optimise heuristic to solve the capacitated lot sizing problem with setup carryover. Besides this, a new initialisation scheme is suggested to reduce the solution space and to ensure a feasible solution. A comparative experimental study is carried out using some benchmark problem instances. The results indicate that the performance of the pure GAs improves when hybridised with the Fix-and-Optimise heuristic. Moreover, in terms of solution quality, promising results are obtained when compared with the recent results in the literature.", "author": [ { "family": "Goren", "given": " Hacer Guner" }, { "family": "Tunali", "given": " Semra" }, { "family": "Jans", "given": " Raf" } ], "container_title": "INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH", "id": "86069", "issue": "6", "issued": { "date-parts": [ [ 2012, 1, 1 ] ] }, "page": "1582-1597", "title": "A hybrid approach for the capacitated lot sizing problem with setup carryover", "type": "article-journal", "volume": "50" }
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