A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem

With the continuous increase of workshop production scale, traditional heuristic algorithms in solving the scheduling problem have the defects of unsatisfactory computing time and insufficient stability of the solution result. However, data mining has a good performance in solving large-scale schedu...

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Bibliographic Details

Published in:	Applied soft computing Vol. 161; p. 111746
Main Authors:	Li, Yibing, Liu, Jie, Wang, Lei, Liu, Jinfu, Tang, Hongtao, Guo, Jun, Xu, Wenxiang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2024
Subjects:	Data Mining K-means algorithm Offline learning Parallel machine scheduling Teaching-Learning-Based Optimization Algorithm Teaching-Learning-Based Optimization Algorithm K-means algorithm Data Mining Offline learning Parallel machine scheduling
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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