Solving high dimensional bilevel multiobjective programming problem using a hybrid particle swarm optimization algorithm with crossover operator.
Tao ZhangTiesong HuXuning GuoZhong ChenYue ZhengPublished in: Knowl. Based Syst. (2013)
Keyphrases
- particle swarm optimization algorithm
- multi objective
- crossover operator
- particle swarm optimization
- evolutionary algorithm
- nsga ii
- uniform design
- differential evolution
- high dimensional
- genetic algorithm
- convergence speed
- pso algorithm
- bi objective
- mutation operator
- convex programming
- particle swarm
- multi objective optimization
- optimization algorithm
- multiobjective optimization
- fitness function
- constrained optimization problems
- multi objective problems
- function optimization
- crossover and mutation operators
- real coded genetic algorithms
- optimization problems
- selection operator
- evolutionary computation
- population diversity
- global optimization
- genetic operators
- inertia weight
- linear programming
- genetic programming
- artificial bee colony
- multiple objectives
- global search
- estimation of distribution algorithms
- evolution strategy
- genetic algorithm ga
- multiobjective evolutionary algorithm
- metaheuristic
- explore the search space
- premature convergence
- optimization method
- particle swarm optimization pso
- hybrid algorithm
- simulated annealing
- ant colony optimization
- objective function
- swarm intelligence
- differential evolution algorithm
- optimisation problems
- cost function
- multi objective evolutionary algorithms