Computers and Industrial Engineering - Special issue on computational intelligence for industrial engineering
Interval regression analysis using support vector networks
Fuzzy Sets and Systems
Computers and Operations Research
Fuzzy job shop scheduling problem with availability constraints
Computers and Industrial Engineering
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
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This paper applies interval number theory to production scheduling for its advantage in uncertainty modeling. A job shop scheduling problem with interval processing time is first described and then a population-based neighborhood search (PNS) is presented to optimize the interval makespan of the problem. In PNS, an ordered operation-based representation is used and a decoding procedure is constructed by using operations of interval numbers, in which there are no approximate treatments. It is proved that the possible actual makespan of each schedule are contained in its interval makespan. A swap operation and binary tournament selection are applied to update the population. PNS is finally tested by using some instances and computational results show that PNS can provide better results than some methods from the literature.