Computers and Industrial Engineering - Special issue on computational intelligence for industrial engineering
An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem
Applied Soft Computing
Fuzzy job shop scheduling problem with availability constraints
Computers and Industrial Engineering
International Journal of Bio-Inspired Computation
A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem
Information Sciences: an International Journal
Semantics of Schedules for the Fuzzy Job-Shop Problem
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Artificial bee colony (ABC) is one of the most recently introduced swarm-based algorithms inspired by the intelligent foraging behaviour of honeybee swarm. In this study, ABC is applied to solve fuzzy job shop scheduling problems to investigate the advantage of ABC on fuzzy scheduling. In ABC, an operation-based coding and decoding procedure is adopted and neighbourhood structure based on insertion operator is proposed. In each cycle, the employed bee phase and the onlooker bee phase execute sequentially, no scouts are considered and the worst food source is replaced with the elite solution every certain cycles. ABC is applied to some instances and compared with the methods from the literature. Computational results show the promising advantage of ABC on fuzzy scheduling.