چکیده مقاله
In this paper, by considering the uncertainty or fuzzy nature of the data in real world problems, job shop scheduling JSSP with fuzzy processing time is introduced The processing times can be uncertain and this uncertainty is very important for the scheduling problems In this method, imprecise processing times are modelled as triangular fuzzy numbers TFNs TFNs results in a triangular fuzzy number called fuzzy makespan Makespan is the time that needed for completion all the jobs on the machines Then by artificial immune algorithm as one of optimization techniques, the fuzzy makespa is minimized
کلیدواژهها
نویسندگان
Zohreh Davarzani
Payame Noor University,Tehran,Iran
Soheila Stagi
Technical and vocational university of Sabzevar academy, Iran
شیوه ارجاع
Davarzani, Zohreh and Stagi, Soheila,1396,Fuzzy job-shop scheduling problem with Artificial immune algorithm,Fifth International Conference on Electrical and Computer Engineering with Emphasis on Indigenous Knowledge,Tehran
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی مهندسی برق و کامپیوتر با تاکید بر دانش بومی19 بهمن 1396 · تهران