An Online Reinforcement Learning Approach for Solving the Dynamic Flexible Job-Shop Scheduling Problem for Multiple Products and Constraints.
Nour El-Din Ali SaidYassin SamahaEman AzabLamia A. ShihataMaggie MashalyPublished in: CSCI (2021)
Keyphrases
- reinforcement learning
- online learning
- dynamic environments
- dynamic constraint satisfaction problems
- dynamic programming
- constraint satisfaction
- reinforcement learning algorithms
- lagrange multipliers
- machine learning
- lower bound
- evolutionary algorithm
- multi objective
- state space
- genetic algorithm
- neural network
- constraint programming
- function approximation
- linear programming problems
- constrained problems
- dynamic constraints