Function optimization by simultaneous perturbation stochastic approximation with randomly varying truncations.
Katsuji UosakiToshiharu HatanakaAkihiko YonemochiHan-Fu ChenPublished in: ECC (2003)
Keyphrases
- function optimization
- stochastic approximation
- evolutionary algorithm
- monte carlo
- ant colony optimization
- mutation operator
- genetic algorithm
- bayesian learning
- learning problems
- crossover operator
- machine learning
- policy iteration
- simulated annealing
- multi objective
- reinforcement learning
- differential evolution
- data mining
- particle swarm optimization
- genetic programming
- model free
- temporal difference learning
- training set