Biased Bi-Population Evolutionary Algorithm for Energy-Efficient Fuzzy Flexible Job Shop Scheduling with Deteriorating Jobs

There are many studies about flexible job shop scheduling problem with fuzzy processing time and deteriorating scheduling, but most scholars neglect the connection between them, which means the purpose of both models is to simulate a more realistic factory environment. From this perspective, the sol...

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Bibliographic Details

Published in:	Complex System Modeling and Simulation
Main Authors:	Libao Deng, Yingjian Zhu, Yuanzhu Di, Lili Zhang
Format:	Article
Language:	English
Published:	Tsinghua University Press 2024-03-01
Subjects:	bi-population evolutionary algorithm q-learning algorithm fuzzy deteriorating effect energy flexible job shop scheduling
Online Access:	https://www.sciopen.com/article/10.23919/CSMS.2023.0021