A new unconstrained global optimization method based on clustering and parabolic approximation.
Ihsan PenceMelike Siseci CesmeliFatih Ahmet SenelBayram CetisliPublished in: Expert Syst. Appl. (2016)
Keyphrases
- optimization method
- optimization algorithm
- optimization methods
- genetic algorithm
- optimization process
- multi objective genetic algorithm
- particle swarm
- differential evolution
- evolutionary algorithm
- optimization procedure
- simulated annealing
- metaheuristic
- nonlinear optimization
- clustering method
- clustering algorithm
- nelder mead simplex
- global optimum
- k means
- hierarchical clustering
- multi objective
- cluster analysis
- optimization problems
- unsupervised learning
- data clustering
- hybrid algorithm
- self organizing maps
- neural network training
- particle swarm optimization pso
- evolutionary computation
- fitness function
- global optimization
- optimization strategy
- probability distribution
- hough transform
- closed form
- outlier detection