Self-adaptive parameters in differential evolution based on fitness performance with a perturbation strategy.
Chen-Yang ChengShu-Fen LiYu-Cheng LinPublished in: Soft Comput. (2019)
Keyphrases
- differential evolution
- evolutionary algorithm
- evolutionary strategy
- differential evolution algorithm
- control parameters
- parameter optimization
- genetic algorithm
- population diversity
- optimization algorithm
- evolution process
- test functions
- convergence speed
- fitness function
- constrained optimization problems
- multi objective
- optimization method
- multi objective optimization
- numerical optimization problems
- mutation operator
- premature convergence
- evolutionary computation
- crossover rate
- particle swarm optimization
- particle swarm optimization pso
- evolution strategy
- function optimization problems
- global optimization problems
- solving global optimization problems
- genetic programming
- genetic operators
- optimization problems
- parameter estimation
- mutation rate
- particle swarm
- simulated annealing
- hybrid algorithm
- evolutionary programming
- scale factor
- crossover and mutation
- fitness landscape
- direct search
- real coded
- numerical optimization
- crossover operator
- artificial immune system
- artificial neural networks
- neural network
- maximum likelihood
- global optimization
- function optimization
- parameter settings
- evolutionary process
- initial population