A kind of epistasis-tunable test functions for genetic algorithms.
Hongqiang MoZhong LiChunmei ZhuPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- test functions
- differential evolution
- evolutionary algorithm
- evolutionary computation
- genetic algorithm
- numerical optimization
- particle swarm optimization
- pso algorithm
- nsga ii
- multi objective
- mutation operator
- convergence speed
- optimization method
- test problems
- particle swarm optimization pso
- solution space
- simulated annealing
- numerical optimization problems
- fitness function
- optimization algorithm
- genetic programming
- multi objective optimization
- hybrid algorithm
- particle swarm optimization algorithm
- evolution strategy
- crossover operator
- premature convergence
- neural network
- constrained optimization problems
- optimization problems
- fuzzy logic
- metaheuristic
- tabu search
- solution quality
- benchmark problems
- dynamic programming
- genetic algorithm ga
- multi objective evolutionary algorithms
- function optimization
- artificial bee colony
- artificial neural networks
- computational intelligence