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	2021-01-25T20:49:10Z
dc.date.available	2021-01-25T20:49:10Z
dc.date.issued	2016
dc.identifier	10.1016/j.knosys.2016.06.014
dc.identifier.issn	09507051
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991574929&doi=10.1016%2fj.knosys.2016.06.014&partnerID=40&md5=c02d5cb1dc16adbf06ea64de4da43247
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10167
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.language.iso	English
dc.publisher	Knowledge-Based Systems
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.affiliations	School of computer, Liaocheng University, Liaocheng, 252059, China; School of Electrical and Electronic Engineering, Nanyang Technological University639798, Singapore; State Key Lab of Digital Manufacturing Equipment & Technology in Huazhong University of

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