1 Ocak 2012 Dergi makalesi Açık Erişim

Goren, Hacer Guner; Tunali, Semra; Jans, Raf

Dublin Core

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  <dc:creator>Goren, Hacer Guner</dc:creator>
  <dc:creator>Tunali, Semra</dc:creator>
  <dc:creator>Jans, Raf</dc:creator>
  <dc:date>2012-01-01</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/86069</dc:identifier>
  <dc:identifier>oai:zenodo.org:86069</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:source>INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 50(6) 1582-1597</dc:source>
  <dc:title>A hybrid approach for the capacitated lot sizing problem with setup carryover</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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