Research on energy-efficient fuzzy hybrid flow shop scheduling with batch processing machines
A energy-efficient fuzzy hybrid flow shop scheduling problem(EFHFSP)with batch processing machines(BPM)and no precedence between some stages is studied,and a dynamical artificial bee colony(DABC)is proposed to minimize the fuzzy makespan and total fuzzy energy consumption simultaneously.To generate high quality solutions,a swarm decision method is established by population evaluation and used to dynamically determine employed bee swarm and onlooker bee swarm on each generation.The dynamical employed bee phase,the onlooker bee phase with adaptive communication,the diversity reinforment strategy and the adaptive scout phase are also applied.Extensive experiments are conducted.The computational results show that the DABC has promising advantages on the considered EFHFSP.
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