Solving flow-shop scheduling problem with a reinforcement learning algorithm that generalizes the value function with neural network
This paper solves the flow-shop scheduling problem (FSP) through the reinforcement learning (RL), which approximates the value function with neural network (NN). Under the RL framework, the state, strategy, action, reward signal, and value function of FSP were described in details. Considering the i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-06-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016821000338 |