Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time
Abstract: Highlights•A conversion of the BLSFS problem with interval processing time is proposed.•A variant of single-heuristic is incorporated in population initialization.•A novel crossover operator is proposed.•An ideal-point assisted local search is applied to improve the exploitation.•It contributes to enhance the capacity of the algorithm in tackling uncertainties.
External IDs:dblp:journals/asc/HanGJP16
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