Learning-Based Genetic Algorithm to Schedule an Extended Flexible Job Shop

This work considers an extended flexible job-shop scheduling problem from a semiconductor manufacturing environment. To find its high-quality solution in a reasonable time, a learning-based genetic algorithm (LGA) that incorporates a parallel long short-term memory network-embedded autoencoder model...

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Bibliographic Details

Published in:	IEEE transactions on cybernetics Vol. 54; no. 11; pp. 6909 - 6920
Main Authors:	Cao, ZhengCai, Lin, ChengRan, Zhou, MengChu, Wen, XiaoHao
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.11.2024
Subjects:	Autoencoder flexible job shop scheduling genetic algorithm (GA) Genetic algorithms Job shop scheduling Long short term memory machine learning Metaheuristics Optimization Schedules Semiconductor device modeling
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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