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A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: a real world application

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dc.contributor.authorKahraman C.
dc.contributor.authorEngin O.
dc.contributor.authorM.K., Yilmaz
dc.date.accessioned2026-01-24T18:19:31Z
dc.date.issued2008-08-01
dc.description.abstractIn this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problem. The objectives are considered to be minimizing the average tardiness and the number of tardy jobs. The developed new AIS algorithm is applied in an engine cylinder liner manufacturing process. The feasibility and effectiveness of the proposed new AIS is demonstrated by comparing with the Genetic algorithm. Computational results demonstrate that the proposed new AIS algorithm is a more effective meta-heuristic for the multi objective, flow shop scheduling problem with fuzzy processing time and due date.
dc.description.urihttps://doi.org/10.1142/9789812799470_0178
dc.description.urihttps://dx.doi.org/10.1142/9789812799470_0178
dc.description.urihttps://hdl.handle.net/20.500.12395/22835
dc.identifier.doi10.1142/9789812799470_0178
dc.identifier.endpage1092
dc.identifier.openairedoi_dedup___::2228af1cae67755d3d6586dc0dd124f5
dc.identifier.orcid0000-0002-7250-0317
dc.identifier.startpage1087
dc.identifier.urihttps://hdl.handle.net/11527/37258
dc.publisherWorld Scientific Pub Co Pte Ltd
dc.relation.ispartofComputational Intelligence in Decision and Control
dc.rightsCLOSED
dc.titleA new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: a real world application
dc.typeArticle
dspace.entity.typePublication

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