A Knowledge-Based Two-Population Optimization Algorithm for Distributed Energy-Efficient Parallel Machines Scheduling

• Published in: IEEE transactions on cybernetics Vol. 52; no. 6; pp. 5051 - 5063
• Main Authors: Pan, Zixiao, Lei, Deming, Wang, Ling
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Distributed scheduling; Energy consumption; energy-efficient scheduling; Evolutionary computation; Genetic algorithms; Job shop scheduling; knowledge; Knowledge based systems; Optimization; Parallel machines; parallel machines scheduling; Population; Production facilities; Scheduling; Sorting algorithms; Statistical analysis; two-population

In recent years, both distributed scheduling problem and energy-efficient scheduling have attracted much attention. As the integration of these two problems, the distributed energy-efficient scheduling problem is of great realistic significance. To the best of our knowledge, the distributed energy-e...