An information entropy-driven evolutionary algorithm based on reinforcement learning for many-objective optimization.
Peng LiangYangtao ChenYafeng SunYing HuangWei LiPublished in: Expert Syst. Appl. (2024)
Keyphrases
- information entropy
- evolutionary algorithm
- reinforcement learning
- multi objective
- multiple objectives
- evolutionary computation
- nsga ii
- rough sets
- optimization problems
- multi objective optimization
- multi objective evolutionary algorithms
- fitness function
- state space
- genetic programming
- rough set theory
- differential evolution
- decision table
- genetic algorithm
- function optimization
- function approximation
- mutation operator
- learning algorithm
- attribute values
- attribute reduction algorithm
- pareto optimal
- fuzzy logic
- particle swarm optimization
- optimal policy
- labeled data
- neural network
- supervised learning
- training data
- decision making
- artificial intelligence
- information retrieval
- machine learning
- data mining