抄録
In this paper, the front crawl swimming is optimized for swimming speed and propulsive efficiency using Genetic Algorithm (GA). The GA is integrated into our swimming human simulation model SWUM, which was developed for analyzing swimming motion, and the fastest and most efficient strokes are numerically solved. Both the obtained strokes have their own features distinguished from the conventional strokes. From the analyses of the joint torque and fluid force, it is found that the fastest stroke is explained as 'full power during whole stroke', while the most efficient as 'full power in efficient moment'.
