A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop

• Published in: Knowledge-based systems Vol. 194; p. 105536
• Main Authors: Zheng, Jie, Wang, Ling, Wang, Jing-jing
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 22.04.2020; Elsevier Science Ltd
• Subjects: Algorithms; Cooperative coevolution algorithm; Design of experiments; Entropy (Information theory); Estimation of distribution algorithm; Exploitation; Fuzzy processing times and due dates; Iterated greedy search; Job shops; Multi-objective fuzzy distributed hybrid flow shop; Performance enhancement; Robustness; Robustness (mathematics); Searching; Solution space; Statistical analysis; Taguchi methods; Cooperative coevolution algorithm; Robustness; Multi-objective fuzzy distributed hybrid flow shop; Fuzzy processing times and due dates; Iterated greedy search; Estimation of distribution algorithm

With consideration of uncertainty in the distributed manufacturing systems, this paper addresses a multi-objective fuzzy distributed hybrid flow shop scheduling problem with fuzzy processing times and fuzzy due dates. To optimize the fuzzy total tardiness and robustness simultaneously, a cooperative...