Login / Signup
A Q-learning driven competitive surrogate assisted evolutionary optimizer with multiple oriented mutation operators for expensive problems.
Qinna Zhu
Haibo Yu
Li Kang
Jianchao Zeng
Published in:
Inf. Sci. (2024)
Keyphrases
</>
multi agent
genetic algorithm
reinforcement learning
cooperative
mutation operator
learning algorithm
evolutionary algorithm
query optimization
dynamic programming
optimization problems
particle swarm optimization
function approximation
crossover operator
solving problems
optimal parameter settings