Global Optimization Algorithms In Data Clustering Problems

2014 ◽  
Vol 1 (3) ◽  
pp. 106-113
Author(s):  
Boris Belashev ◽  
◽  
Konstantin Dolgii
Keyword(s):  
Global Optimization ◽  
Data Clustering ◽  
Optimization Algorithms ◽  
Clustering Problems

Social group optimization for global optimization of multimodal functions and data clustering problems

2016 ◽  
Vol 30 (1) ◽  
pp. 271-287 ◽  
Author(s):  
Anima Naik ◽  
Suresh Chandra Satapathy ◽  
Amira S. Ashour ◽  
Nilanjan Dey
Keyword(s):  
Global Optimization ◽  
Social Group ◽  
Data Clustering ◽  
Multimodal Functions ◽  
Social Group Optimization ◽  
Clustering Problems

scholarly journals An improved adaptive memetic differential evolution optimization algorithms for data clustering problems

PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0216906 ◽  
Author(s):  
Hossam M. J. Mustafa ◽  
Masri Ayob ◽  
Mohd Zakree Ahmad Nazri ◽  
Graham Kendall
Keyword(s):  
Differential Evolution ◽  
Data Clustering ◽  
Optimization Algorithms ◽  
Clustering Problems

scholarly journals The Challenge for the Nature-inspired Global Optimization Algorithms: Non-symmetric Benchmark Functions

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Zheng-Ming Gao ◽  
Juan Zhao ◽  
Yu-Rong Hu ◽  
Hua-Feng Chen
Keyword(s):  
Global Optimization ◽  
Optimization Algorithms

On hybridization of stochastic global optimization algorithms taking into account the features of their architecture

2021 ◽  
Vol 1 ◽  
pp. 113-117
Author(s):  
Dmitry Syedin ◽  
Keyword(s):  
Global Optimization ◽  
Stochastic Optimization ◽  
Optimization Algorithms ◽  
Stochastic Global Optimization ◽  
Stochastic Optimization Algorithms ◽  
Pca Algorithm

The work is devoted to the hybridization of stochastic global optimization algorithms depending on their architecture. The main methods of hybridization of stochastic optimization algorithms are listed. An example of hybridization of the algorithm is given, the modification of which became possible due to taking into account the characteristic architecture of the M-PCA algorithm.

An Evolutionary Multi-Layer Extreme Learning Machine for Data Clustering Problems

2021 ◽  
Author(s):  
Xian Wu ◽  
Tianfang Zhou ◽  
Kaixiang Yi ◽  
Minrui Fei ◽  
Yayu Chen ◽  
...  
Keyword(s):  
Extreme Learning Machine ◽  
Data Clustering ◽  
Learning Machine ◽  
Clustering Problems

Results of two global optimization algorithms applied to a problem in biomechanics

2010 ◽  
Author(s):  
Nicholas R. Radcliffe ◽  
David R. Easterling ◽  
Layne T. Watson ◽  
Michael L. Madigan ◽  
Kathleen A. Bieryla
Keyword(s):  
Global Optimization ◽  
Optimization Algorithms
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