scholarly journals Invasive weed optimization algorithm optimized fuzzy logic scaling parameters in controlling a lower limb exoskeleton

2016 ◽  
Author(s):  
Ghasaq Al Rezage ◽  
Hyreil A Kasdirin ◽  
Siti Khadijah Ali ◽  
M. O. Tokhi
Keyword(s):  
Fuzzy Logic ◽  
Optimization Algorithm ◽  
Lower Limb ◽  
Invasive Weed Optimization ◽  
Invasive Weed ◽  
Lower Limb Exoskeleton ◽  
Scaling Parameters

scholarly journals Model Identification of 2-DOF Lower Limb Exoskeleton with Neighborhood Field Optimization Algorithm

2020 ◽  
Vol 53 (2) ◽  
pp. 8704-8709
Author(s):  
Zhenlei Chen ◽  
Huiyu Xiong ◽  
Xinran Wang ◽  
Qing Guo ◽  
Yan Shi ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Lower Limb ◽  
Model Identification ◽  
Lower Limb Exoskeleton

An Adaptive Invasive Weed Optimization Algorithm

2015 ◽  
Vol 29 (02) ◽  
pp. 1559004 ◽  
Author(s):  
Shuo Peng ◽  
A.-J. Ouyang ◽  
Jeff Jun Zhang
Keyword(s):  
Optimization Algorithm ◽  
Initial Step ◽  
Local Extremum ◽  
Invasive Weed Optimization ◽  
Step Size ◽  
Invasive Weed ◽  
Adaptive Step Size ◽  
Initial Step Size ◽  
Adaptive Step ◽  
Optimization Search

With regards to the low search accuracy of the basic invasive weed optimization algorithm which is easy to get into local extremum, this paper proposes an adaptive invasive weed optimization (AIWO) algorithm. The algorithm sets the initial step size and the final step size as the adaptive step size to guide the global search of the algorithm, and it is applied to 20 famous benchmark functions for a test, the results of which show that the AIWO algorithm owns better global optimization search capacity, faster convergence speed and higher computation accuracy compared with other advanced algorithms.

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