A Review of Gait Optimization Based on Evolutionary Computation
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 optimiza...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2010/413179 |
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| _version_ | 1850162991347007488 |
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| author | Daoxiong Gong Jie Yan Guoyu Zuo |
| author_facet | Daoxiong Gong Jie Yan Guoyu Zuo |
| author_sort | Daoxiong Gong |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ef4e784fef4746bd80f46037956a6f58 |
| institution | OA Journals |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-ef4e784fef4746bd80f46037956a6f582025-08-20T02:22:25ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322010-01-01201010.1155/2010/413179413179A Review of Gait Optimization Based on Evolutionary ComputationDaoxiong Gong0Jie Yan1Guoyu Zuo2School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, ChinaSchool of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, ChinaSchool of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, ChinaGait 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.http://dx.doi.org/10.1155/2010/413179 |
| spellingShingle | Daoxiong Gong Jie Yan Guoyu Zuo A Review of Gait Optimization Based on Evolutionary Computation Applied Computational Intelligence and Soft Computing |
| title | A Review of Gait Optimization Based on Evolutionary Computation |
| title_full | A Review of Gait Optimization Based on Evolutionary Computation |
| title_fullStr | A Review of Gait Optimization Based on Evolutionary Computation |
| title_full_unstemmed | A Review of Gait Optimization Based on Evolutionary Computation |
| title_short | A Review of Gait Optimization Based on Evolutionary Computation |
| title_sort | review of gait optimization based on evolutionary computation |
| url | http://dx.doi.org/10.1155/2010/413179 |
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