Reinforcement Learning for Mutation Operator Selection in Automated Program Repair.
Carol HannaAymeric BlotJustyna PetkePublished in: CoRR (2023)
Keyphrases
- mutation operator
- reinforcement learning
- evolutionary algorithm
- crossover and mutation
- differential evolution
- genetic algorithm
- crossover operator
- premature convergence
- evolutionary programming
- selection operator
- convergence rate
- genetic operators
- fitness function
- function approximation
- search direction
- function optimization
- step size
- nsga ii
- genetic algorithm ga
- dynamic programming
- multi objective
- learning algorithm
- neural network
- convergence speed
- optimization problems
- state space
- search space
- crossover and mutation operators