Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization.
Riccardo PellegriniAndrea SeraniCecilia LeotardiUmberto IemmaEmilio Fortunato CampanaMatteo DiezPublished in: Appl. Soft Comput. (2017)
Keyphrases
- particle swarm
- parameter selection
- multi objective
- simulation based optimization
- evolutionary algorithm
- particle swarm optimization
- particle swarm algorithm
- optimization algorithm
- optimisation problems
- adaptive regularization
- multi objective optimization
- convergence analysis
- global convergence
- computational methods
- genetic algorithm
- objective function
- particle swarm optimization algorithm
- model selection
- optimization method
- swarm intelligence
- particle swarm optimisation
- differential evolution
- pso algorithm
- ls svm
- artificial intelligence
- optimization problems
- metaheuristic
- nsga ii
- fitness function
- simulated annealing
- ant colony optimization
- sample size
- global optimization
- learning algorithm
- machine learning