MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework.
Costas VoglisGrigoris S. PiperagkasKonstantinos E. ParsopoulosDimitris G. PapageorgiouIsaac E. LagarisPublished in: GECCO (Companion) (2012)
Keyphrases
- particle swarm optimization
- differential evolution
- global optimization
- pso algorithm
- particle swarm optimization pso
- convergence speed
- differential evolution algorithm
- test functions
- multi objective
- particle swarm optimizer
- evolutionary programming
- particle swarm optimization algorithm
- global search
- optimization method
- swarm intelligence
- constrained optimization problems
- mutation operator
- ant colony algorithm
- evolution strategy
- particle swarm
- hybrid algorithm
- premature convergence
- metaheuristic
- global optimization problems
- evolutionary algorithm
- genetic algorithm
- numerical optimization problems
- ant colony optimization
- function optimization problems
- inertia weight
- binary particle swarm optimization
- real coded
- parameter optimization
- crossover operator
- artificial bee colony
- multi objective problems
- deterministic annealing
- objective function
- biogeography based optimization
- global solution
- bp neural network
- population diversity
- multi objective optimization
- step size
- pid controller
- evolutionary strategy