A Review of Gait Optimization Based on Evolutionary Computation | Zendy

Daoxiong Gong | Zendy; Jie Yan | Zendy; Guoyu Zuo | Zendy

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A Review of Gait Optimization Based on Evolutionary Computation

Author(s) -

Daoxiong Gong,

Jie Yan,

Guoyu Zuo

Publication year - 2010

Publication title -

applied computational intelligence and soft computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.371

H-Index - 10

eISSN - 1687-9732

pISSN - 1687-9724

DOI - 10.1155/2010/413179

Subject(s) - computer science , gait , evolutionary computation , computation , evolutionary algorithm , interactive evolutionary computation , robot , genetic algorithm , selection (genetic algorithm) , artificial intelligence , optimization problem , evolutionary programming , machine learning , physical medicine and rehabilitation , algorithm , medicine

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

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