Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution.
Hongshu GuoYining MaZeyuan MaJiacheng ChenXinglin ZhangZhiguang CaoJun ZhangYue-Jiao GongPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2024)
Keyphrases
- differential evolution
- optimization algorithm
- particle swarm optimization
- differential evolution algorithm
- dynamic programming
- optimization method
- reinforcement learning
- hybrid algorithm
- optimal solution
- multi objective
- global optimization problems
- harmony search
- constrained optimization problems
- premature convergence
- benchmark problems
- learning algorithm
- evolutionary algorithm
- neural network
- genetic programming
- objective function
- artificial bee colony
- parameter optimization
- search space
- particle swarm
- evolution strategy
- mutation operator
- control parameters
- convergence speed
- optimization problems
- evolutionary strategy
- test functions
- evolutionary programming
- linear programming
- convergence rate
- particle swarm optimization pso
- direct search
- multi objective optimization problems
- combinatorial optimization