Dynamic Scheduling Algorithm Based on Evolutionary Reinforcement Learning for Sudden Contaminant Events Under Uncertain Environment-Reference-Cited by-同舟云学术

Dynamic Scheduling Algorithm Based on Evolutionary Reinforcement Learning for Sudden Contaminant Events Under Uncertain Environment

Published:2022-09 Issue:3 Volume:2 Page:213-223
ISSN:2096-9929
Container-title:Complex System Modeling and Simulation
language:
Short-container-title:Complex Syst. Model. Simul.

Author:

Hu Chengyu¹,Qiao Rui¹,Zhang Zhe¹,Yan Xuesong¹,Li Ming²

Affiliation:

1. School of Computer Science, China University of Geosciences,Wuhan,China,430074

2. California State University,Department of Computer Science,Fresno,CA,USA,93740

Funder

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9420428/9906545/09906547.pdf?arnumber=9906547

Reference40 articles.

1. Reinforcement Learning and Markov Decision Processes

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3. Power plant start-up scheduling: A reinforcement learning approach combined with evolutionary computation;kamiya;Journal of Intelligent & Fuzzy Systems,1998

4. Evolutionary job scheduling with optimized population by deep reinforcement learning

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