Optimal multi‐scale geometric fusion based on non‐subsampled contourlet transform and modified central force optimization

2018 ◽  
Author(s):  
Heba M. El‐Hoseny ◽  
Wael Abd El‐Rahman ◽  
Walid El‐Shafai ◽  
El‐Sayed M. El‐Rabaie ◽  
Korany R. Mahmoud ◽  
...  
Keyword(s):  
Central Force ◽  
Contourlet Transform ◽  
Multi Scale ◽  
Force Optimization ◽  
Central Force Optimization

Efficient multi-scale non-sub-sampled shearlet fusion system based on modified central force optimization and contrast enhancement

2019 ◽  
Vol 102 ◽  
pp. 102975 ◽  
Author(s):  
Heba M. El-Hoseny ◽  
Wael Abd El-Rahman ◽  
Walid El-Shafai ◽  
Ghada M. El-Banby ◽  
El-Sayed M. El-Rabaie ◽  
...  
Keyword(s):  
Contrast Enhancement ◽  
Central Force ◽  
Fusion System ◽  
Multi Scale ◽  
Force Optimization ◽  
Central Force Optimization

An optimal wavelet-based multi-modality medical image fusion approach based on modified central force optimization and histogram matching

2019 ◽  
Vol 78 (18) ◽  
pp. 26373-26397 ◽  
Author(s):  
Heba M. El-Hoseny ◽  
Zeinab Z. El Kareh ◽  
Wael A. Mohamed ◽  
Ghada M. El Banby ◽  
Korany R. Mahmoud ◽  
...  
Keyword(s):  
Image Fusion ◽  
Medical Image ◽  
Central Force ◽  
Medical Image Fusion ◽  
Force Optimization ◽  
Histogram Matching ◽  
Fusion Approach ◽  
Central Force Optimization

scholarly journals An Improved Central Force Optimization Algorithm for Multimodal Optimization

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jie Liu ◽  
Yu-ping Wang
Keyword(s):  
Central Force ◽  
Multimodal Optimization ◽  
High Dimensions ◽  
Intelligent Algorithm ◽  
Swarm Optimization ◽  
Clustering Technique ◽  
Force Optimization ◽  
Comparison Results ◽  
Complex Statistical Analysis ◽  
Central Force Optimization

This paper proposes the hybrid CSM-CFO algorithm based on the simplex method (SM), clustering technique, and central force optimization (CFO) for unconstrained optimization. CSM-CFO is still a deterministic swarm intelligent algorithm, such that the complex statistical analysis of the numerical results can be omitted, and the convergence intends to produce faster and more accurate by clustering technique and good points set. When tested against benchmark functions, in low and high dimensions, the CSM-CFO algorithm has competitive performance in terms of accuracy and convergence speed compared to other evolutionary algorithms: particle swarm optimization, evolutionary program, and simulated annealing. The comparison results demonstrate that the proposed algorithm is effective and efficient.

Optimal stable gait for nonlinear uncertain humanoid robot using central force optimization algorithm

2019 ◽  
Vol 36 (2) ◽  
pp. 599-621 ◽  
Author(s):  
Tran Thien Huan ◽  
Ho Pham Huy Anh
Keyword(s):  
Differential Evolution ◽  
Humanoid Robot ◽  
Differential Evolution Algorithm ◽  
Humanoid Robots ◽  
Central Force ◽  
Content Type ◽  
Force Optimization ◽  
Gait Parameters ◽  
Stable Gait ◽  
Central Force Optimization

Purpose The purpose of this paper is to design a novel optimized biped robot gait generator which plays an important role in helping the robot to move forward stably. Based on a mathematical point of view, the gait design problem is investigated as a constrained optimum problem. Then the task to be solved is closely related to the evolutionary calculation technique. Design/methodology/approach Based on this fact, this paper proposes a new way to optimize the biped gait design for humanoid robots that allows stable stepping with preset foot-lifting magnitude. The newly proposed central force optimization (CFO) algorithm is used to optimize the biped gait parameters to help a nonlinear uncertain humanoid robot walk robustly and steadily. The efficiency of the proposed method is compared with the genetic algorithm, particle swarm optimization and improved differential evolution algorithm (modified differential evolution). Findings The simulated and experimental results carried out on the small-sized nonlinear uncertain humanoid robot clearly demonstrate that the novel algorithm offers an efficient and stable gait for humanoid robots with respect to accurate preset foot-lifting magnitude. Originality/value This paper proposes a new algorithm based on four key gait parameters that enable dynamic equilibrium in stable walking for nonlinear uncertain humanoid robots of which gait parameters are initiatively optimized with CFO algorithm.

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