Hybridizing multi-objective, clustering and particle swarm optimization for multimodal optimization.
Tianzi ZhengJianchang LiuYuanchao LiuShubin TanPublished in: Neural Comput. Appl. (2022)
Keyphrases
- multi objective
- particle swarm optimization
- optimization algorithm
- population based optimization
- global optimization
- particle swarm
- multiple objectives
- evolutionary algorithm
- pso algorithm
- multiobjective optimization
- evolutionary optimization
- multi objective optimization
- optimum design
- particle swarm optimization algorithm
- conflicting objectives
- differential evolution
- global search
- particle swarm optimization pso
- optimization method
- genetic algorithm
- objective function
- swarm intelligence
- clustering algorithm
- engineering design problems
- optimization problems
- multi objective genetic algorithm
- particle swarm optimizer
- hybrid optimization algorithm
- k means
- clustering method
- metaheuristic
- ant colony optimization
- convergence speed
- multi objective evolutionary algorithms
- multi objective problems
- hierarchical clustering
- bi objective
- harmony search
- spectral clustering
- categorical data
- nsga ii
- estimation of distribution algorithms
- multi objective optimization problems
- optimization process
- cluster analysis
- data clustering
- pareto optimal solutions
- inertia weight
- evolutionary strategy
- trade off
- unsupervised learning
- constrained optimization
- document clustering
- multi modal
- evolutionary computation
- multi swarm
- information theoretic
- optimization methods