Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion

dc.contributor.author	Gao, K.Z.
dc.contributor.author	Suganthan, P.N.
dc.contributor.author	Pan, Q.K.
dc.contributor.author	Tasgetiren, M.F.
dc.contributor.author	Sadollah, A.
dc.date.accessioned	2021-01-25T19:33:41Z
dc.date.available	2021-01-25T19:33:41Z
dc.date.issued	2016
dc.identifier	10.1016/j.knosys.2016.06.014
dc.identifier.issn	0950-7051
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7760
dc.description.abstract	This study addresses flexible job shop scheduling problem (FJSP) with two constraints, namely fuzzy processing time and new job insertion. The uncertainty of processing time and new job insertion are two scheduling related characteristics in remanufacturi
dc.description.sponsorship	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51575212, 61503170]; Program for New Century Excellent Talents in UniversityProgram for New Century Excellent Talents in University (NCET) [NCET-13-0106]; Sci
dc.language.iso	English
dc.publisher	ELSEVIER SCIENCE BV
dc.title	Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion
dc.type	Article
dc.relation.firstpage	1
dc.relation.lastpage	16
dc.relation.volume	109
dc.description.woscategory	Computer Science, Artificial Intelligence
dc.description.wosresearcharea	Computer Science
dc.identifier.wosid	WOS:000383304200001

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