A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming.
Libin HongJohn H. DrakeJohn R. WoodwardEnder ÖzcanPublished in: Appl. Soft Comput. (2018)
Keyphrases
- mutation operator
- evolutionary programming
- evolutionary algorithm
- hyper heuristics
- differential evolution
- crossover operator
- premature convergence
- genetic algorithm
- examination timetabling
- fitness function
- genetic programming
- evolutionary computation
- multi objective
- optimization problems
- convergence rate
- evolution strategy
- multi objective optimization
- metaheuristic
- evolutionary strategy
- simulated annealing
- nsga ii
- search procedure
- constraint satisfaction problems
- convergence speed
- swarm intelligence
- optimization method
- particle swarm optimization
- evolutionary process
- cost function
- heuristic search
- neural network