Empirical investigations on evolution strategies to self-adapt the mutation and crossover parameters of differential evolution algorithm.
Dhanya M. DhanalakshmyG. JeyakumarC. Shunmuga VelayuthamPublished in: Int. J. Intell. Syst. Technol. Appl. (2021)
Keyphrases
- differential evolution algorithm
- differential evolution
- evolution strategy
- evolutionary algorithm
- scale factor
- mutation operation
- mutation operator
- global numerical optimization
- genetic algorithm
- mutation strategy
- evolutionary programming
- optimization algorithm
- crossover rate
- crossover operator
- particle swarm optimization pso
- mutation rate
- initial population
- particle swarm optimization
- convergence speed
- multi objective
- control parameters
- optimization method
- premature convergence
- genetic operators
- multi objective optimization
- hybrid algorithm
- fitness function
- optimization problems
- genetic programming
- particle swarm optimisation
- simulated annealing
- evolutionary process
- candidate solutions
- cost function
- pso algorithm
- genetic algorithm ga