A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling

• Published in: IEEE transactions on emerging topics in computational intelligence Vol. 5; no. 6; pp. 947 - 961
• Main Authors: Wang, Jing-jing, Wang, Ling
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; bi-population; Collaboration; Cooperative memetic algorithm; decomposition; distributed scheduling; Factories; Globalization; Greedy algorithms; hybrid flow-shop scheduling; Industrial plants; Integer programming; Job shop scheduling; Job shops; Linear programming; lower bound; Lower bounds; Manufacturing; Memetics; Mixed integer; Optimization; Scheduling; Search process

In the context of globalization and decentralized economies, the distributed manufacturing and scheduling systems have become emerging in large enterprises. This article addresses the distributed hybrid flow-shop scheduling problem (DHFSP) with heterogeneous factories to minimize makespan. Different...