Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization.
Zhiming LvLinqing WangZhongyang HanJun ZhaoWei WangPublished in: IEEE CAA J. Autom. Sinica (2019)
Keyphrases
- multi objective optimization
- particle swarm optimization algorithm
- active learning
- multi objective
- particle swarm optimization
- differential evolution
- evolutionary algorithm
- convergence speed
- pso algorithm
- particle swarm
- pareto optimal
- nsga ii
- genetic algorithm
- multi objective optimization problems
- particle swarm optimization pso
- estimation of distribution algorithms
- inertia weight
- pareto set
- global optimization
- multiobjective optimization
- multi objective problems
- pareto optimal set
- objective function
- global search
- multi objective genetic algorithms
- multilevel thresholding
- optimization algorithm
- multiple objectives
- cost function
- pareto dominance
- multi objective genetic algorithm
- hybrid algorithm
- bi objective
- pareto optimal solutions
- ant colony optimization
- tabu search
- multi objective evolutionary algorithms
- fitness function
- evolutionary computation
- premature convergence
- optimization method
- crossover operator