Genetic Algorithm Optimisation of Fish Shape and Swim Mode in Fully-Resolved Flow Field
Sho Kusudaa; Shintaro Takeuchia; Takeo Kajishimaa a Dept. of Mechanical Engineering, Osaka University. 2-1 Yamada-oka. Suita-city. Osaka 565-0871. Japan
Publisher Summary
Finned aquatic animals, such as fish and dolphin, often exhibit extraordinary physical capabilities for swimming speed. However, it is impossible to manufacture and test all possible types of robot to search good performance because one robot fish has many adjustable parameters for identifying shape and swim mode. The shape and swim mode optimized with energy show qualitative agreement with the theoretical and experimental predictions reported in the literatures. Also, parallel processing ...
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