A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling
Author:
Affiliation:
1. Center for Applied Data Science (CfADS), Bielefeld University of Applied Sciences and Arts, Gütersloh, Germany
2. Department of Economics, Anhalt University of Applied Sciences, Bernburg, Germany
Funder
Deutsche Forschungsgemeinschaft
Hochschule Bielefeld —University of Applied Sciences and Arts
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10173523.pdf?arnumber=10173523
Reference50 articles.
1. Reinforcement learning applications to machine scheduling problems: a comprehensive literature review
2. An Introduction to Deep Reinforcement Learning
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4. Protecting against evaluation overfitting in empirical reinforcement learning
5. Deep Reinforcement Learning: A Brief Survey
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