A novel hybrid charge system search and particle swarm optimization method for multi-objective optimization.
A. KavehK. LaknejadiPublished in: Expert Syst. Appl. (2011)
Keyphrases
- particle swarm
- multi objective optimization
- optimization method
- evolutionary algorithm
- multi objective
- differential evolution
- search capabilities
- genetic algorithm
- optimization algorithm
- particle swarm algorithm
- multi objective genetic algorithm
- premature convergence
- optimisation problems
- particle swarm optimization
- optimization process
- optimization methods
- global optimum
- simulated annealing
- nsga ii
- search algorithm
- evolutionary computation
- convergence speed
- optimization strategy
- fitness function
- search space
- multi objective optimization problems
- multiple objectives
- pareto optimal
- multiobjective optimization
- optimization procedure
- mutation operator
- optimization problems
- bi objective
- binary particle swarm optimization
- nonlinear optimization
- particle swarm optimisation
- artificial intelligence
- global search
- particle swarm optimization algorithm
- objective function
- nelder mead simplex
- evolution strategy
- pareto optimal set
- multi objective genetic algorithms
- metaheuristic
- swarm intelligence
- hybrid algorithm
- multi objective evolutionary algorithms
- solution space
- genetic programming
- artificial neural networks
- complex optimization problems
- hybrid optimization algorithm
- multi criteria
- crossover operator