A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem

This paper focuses on an energy-efficient distributed flexible flow shop scheduling problem (EEDFFSP) with variable machine speed. The EEDFFSP needs to solve four sub-problems: factory assignment, determination of the job sequence at each stage, machine selection, and the speed selection for each jo...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 34; no. 24; pp. 22303 - 22330
Main Authors:	Shao, Weishi, Shao, Zhongshi, Pi, Dechang
Format:	Journal Article
Language:	English
Published:	London Springer London 01.12.2022 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Energy consumption Factories Image Processing and Computer Vision Indicators Industrial plants Job shop scheduling Original Article Permutations Probability and Statistics in Computer Science Searching Multiple neighborhoods Memetic algorithm Multi-objective Energy-efficient distributed flexible flow shop scheduling
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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