A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems.
Hai XiaChanghe LiSanyou ZengQingshan TanJunchen WangShengxiang YangPublished in: CEC (2021)
Keyphrases
- evolutionary algorithm
- solution space
- optimization problems
- simulated annealing
- metaheuristic
- reinforcement learning
- test functions
- multi objective
- evolutionary computation
- differential evolution
- benchmark problems
- fitness function
- optimal solution
- tabu search
- genetic algorithm
- optimization method
- combinatorial optimization
- optimization methods
- search space
- clustering algorithm
- knapsack problem
- test problems
- clustering method
- exhaustive search
- function optimization
- multi objective optimization
- k means
- premature convergence
- solution quality
- genetic programming
- function approximation
- genetic operators
- candidate solutions
- ant colony optimization
- particle swarm
- machine learning
- multi objective particle swarm optimization
- hierarchical clustering
- traveling salesman problem
- multi modal
- cluster analysis
- feasible solution
- special case
- data points
- state space
- nsga ii
- data clustering
- evolution strategy
- mutation operator
- markov decision processes
- crossover operator
- supervised learning
- global optimization
- multi objective optimization problems