Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization.
Emilio Fortunato CampanaGiovanni FasanoAntonio PintoPublished in: J. Glob. Optim. (2010)
Keyphrases
- dynamic analysis
- particle swarm optimization
- initial population
- differential evolution
- opposition based learning
- static analysis
- hybrid algorithm
- reverse engineering
- differential evolution algorithm
- evolutionary algorithm
- pso algorithm
- genetic algorithm
- genetic algorithm ga
- mutation operator
- multi objective
- swarm intelligence
- particle swarm optimization pso
- fitness function
- particle swarm optimization algorithm
- ant colony optimization
- source code
- fuzzy measures
- computational intelligence
- inertia weight
- high level
- neural network