Hybridizing PSO and DE for improved vector evaluated multi-objective optimization.
Jacomine GroblerAndries P. EngelbrechtPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- multi objective optimization
- multi objective
- evolutionary algorithm
- differential evolution
- particle swarm optimization
- genetic algorithm
- multi objective problems
- optimization algorithm
- particle swarm optimization pso
- nsga ii
- pareto optimal
- particle swarm optimization algorithm
- mutation operator
- multi objective optimization problems
- multi objective genetic algorithm
- multiple objectives
- fitness function
- particle swarm
- bi objective
- pso algorithm
- objective function
- multiobjective optimization
- inertia weight
- pareto dominance
- particle swarm optimisation
- pareto frontier
- single objective optimization
- multi objective genetic algorithms
- evolutionary computation
- optimization problems
- convergence speed
- bp neural network
- hybrid algorithm
- global optimization
- crossover and mutation
- pareto optimal solutions
- estimation of distribution algorithms
- neural network
- complex optimization problems