A new hierarchical approach for MOPSO based on dynamic subdivision of the population using Pareto fronts.
Raja FdhilaTarek M. HamdaniAdel M. AlimiPublished in: SMC (2010)
Keyphrases
- multi objective
- nsga ii
- particle swarm optimization
- evolutionary algorithm
- particle swarm optimizer
- multi objective optimization
- mutation operator
- multi objective problems
- multi objective particle swarm optimization
- optimization algorithm
- highly competitive
- pareto optimal
- pareto optimal set
- multi objective evolutionary algorithms
- multiple objectives
- test problems
- multiobjective optimization
- optimization problems
- benchmark problems
- differential evolution
- test functions
- particle swarm optimization algorithm
- knapsack problem
- population size
- evolutionary computation
- objective function
- genetic algorithm
- crossover operator
- particle swarm optimization pso
- evolutionary computing
- special case