![](/images/graphics-bg.png)
A Review of Gait Optimization Based on Evolutionary Computation
Joint Authors
Gong, Daoxiong
Zuo, Guoyu
Yan, Jie
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Gait generation is very important as it directly affects the quality of locomotion of legged robots.
As this is an optimization problem with constraints, it readily lends itself to Evolutionary Computation methods and solutions.
This paper reviews the techniques used in evolution-based gait optimization, including why Evolutionary Computation techniques should be used, how fitness functions should be composed, and the selection of genetic operators and control parameters.
This paper also addresses further possible improvements in the efficiency and quality of evolutionary gait optimization, some problems that have not yet been resolved and the perspectives for related future research.
American Psychological Association (APA)
Gong, Daoxiong& Yan, Jie& Zuo, Guoyu. 2010. A Review of Gait Optimization Based on Evolutionary Computation. Applied Computational Intelligence and Soft Computing،Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-470148
Modern Language Association (MLA)
Gong, Daoxiong…[et al.]. A Review of Gait Optimization Based on Evolutionary Computation. Applied Computational Intelligence and Soft Computing No. 2010 (2010), pp.1-12.
https://search.emarefa.net/detail/BIM-470148
American Medical Association (AMA)
Gong, Daoxiong& Yan, Jie& Zuo, Guoyu. A Review of Gait Optimization Based on Evolutionary Computation. Applied Computational Intelligence and Soft Computing. 2010. Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-470148
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470148