Optimizing current conveyors by evolutionary algorithms including differential evolution.
Ivick Guerra-GómezEsteban Tlelo-CuautleTrent McConaghyGeorges G. E. GielenPublished in: ICECS (2009)
Keyphrases
- differential evolution
- evolutionary algorithm
- differential evolution algorithm
- test functions
- convergence speed
- optimization algorithm
- mutation operator
- particle swarm optimization pso
- evolutionary computation
- multi objective
- constrained optimization problems
- particle swarm optimization
- evolutionary programming
- multi objective optimization
- genetic algorithm
- optimization method
- genetic programming
- optimization problems
- simulated annealing
- hybrid algorithm
- evolution strategy
- initial population
- evolutionary strategy
- numerical optimization problems
- function optimization problems
- crossover operator
- fitness function
- global optimization problems
- multi objective optimization problems
- parameter optimization
- artificial neural networks
- evolution process
- genetic operators
- harmony search
- direct search
- population diversity
- evolutionary process
- numerical optimization
- real coded
- premature convergence
- multiobjective optimization problems
- nsga ii
- pso algorithm
- solving global optimization problems