A new differential evolution algorithm with a hybrid mutation operator and self-adapting control parameters for global optimization problems.
Wenchao YiLiang GaoXinyu LiYinzhi ZhouPublished in: Appl. Intell. (2015)
Keyphrases
- differential evolution algorithm
- differential evolution
- mutation operator
- control parameters
- optimization algorithm
- evolutionary algorithm
- premature convergence
- particle swarm optimization
- convergence speed
- evolutionary programming
- genetic algorithm
- initial population
- crossover operator
- particle swarm optimization pso
- function optimization
- mutation strategy
- optimization method
- hybrid algorithm
- multi objective
- multi objective optimization
- optimization problems
- evolutionary computation
- particle swarm
- cost function
- neural network
- genetic algorithm ga
- fitness function