A hybrid version of differential evolution with two differential mutation operators applied by stages.
Sebastián Alejandro HernándezGuillermo LeguizamónEfrén Mezura-MontesPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- differential evolution
- mutation operator
- evolutionary algorithm
- mutation strategy
- optimization algorithm
- premature convergence
- particle swarm optimization
- crossover operator
- convergence speed
- genetic algorithm
- test functions
- differential evolution algorithm
- evolutionary programming
- optimization method
- constrained optimization problems
- genetic operators
- function optimization
- hybrid algorithm
- particle swarm optimization pso
- initial population
- evolution strategy
- multi objective
- parameter optimization
- simulated annealing algorithm
- function optimization problems
- multi objective optimization
- crossover and mutation
- numerical optimization problems
- nsga ii
- global optimization problems
- evolutionary strategy
- real coded
- solving global optimization problems
- particle swarm optimization algorithm
- harmony search