A cooperated shuffled frog-leaping algorithm for distributed energy-efficient hybrid flow shop scheduling with fuzzy processing time

Abstract Distributed hybrid flow shop scheduling problem (DHFSP) has attracted some attention; however, DHFSP with uncertainty and energy-related element is seldom studied. In this paper, distributed energy-efficient (DEHFSP) fuzzy processing time considered a cooperated shuffled frog-leaping algorithm (CSFLA) presented to optimize makespan, total agreement index energy consumption simultaneously. Iterated greedy, variable neighborhood search global are designed using problem-related features; memeplex evaluation based on three quality indices presented, an effective cooperation process between the best worst developed according results performed by exchanging times ability, adaptive population shuffling adopted improve efficiency. Extensive experiments conducted computational validate that CSFLA promising advantages solving DEHFSP.