Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time

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Yuyan Han, Junqing Li, Hongyan Sang, Yiping Liu, Kaizhou Gao, Quanke Pan

Published: 2020, Last Modified: 01 Aug 2025Appl. Soft Comput. 2020EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A multi-objective model of BFS scheduling problem with makespan and energy consumption criteria is proposed.•A variant of single-heuristic is incorporated in population initialization.•Two self-adaptive exploitation and exploration evolution strategies are proposed respectively.•A PBI-based-local search is adopted to enhance the exploitation capability of the algorithm.•It contributes to enhance the capacity of the algorithm in convergence and spread.