A hybrid of Bayesian approach based global search with clustering aided local refinement.
Antanas ZilinskasGrazina GimbutienePublished in: Commun. Nonlinear Sci. Numer. Simul. (2019)
Keyphrases
- global search
- global optimization
- convergence speed
- genetic algorithm
- particle swarm optimization algorithm
- search algorithm
- particle swarm optimization
- simulated annealing
- clustering algorithm
- nonlinear optimization
- clustering method
- cluster analysis
- k means
- premature convergence
- hierarchical clustering
- categorical data
- quantum behaved particle swarm optimization
- inertia weight
- binary pso
- spectral clustering
- outlier detection
- global optima
- exhaustive search
- data sets
- search space
- greedy search
- evolution strategy
- evolutionary programming
- data points
- document clustering
- scheduling problem
- self organizing maps
- information theoretic