1816 遺伝的アルゴリズムによるクロール泳ストロークの最適化 : 第2報,拘束条件の改良(S18 スポーツ流体工学,21世紀地球環境革命の機械工学:人・マイクロナノ・エネルギー・環境)

概要

論文の詳細を見る
In this paper, stroke of the front crawl swimming was optimized for swimming speed in two constraint conditions in order to clarify their effect on the results. This optimization used Genetic Algorithm (GA) which was integrated into our swimming human simulation model SWUM. As the variations of the constraint condition, the upper limits for elbow joint torque were reduced to 70% and 30% from the value of previous study. The optimized stroke whose upper limit for elbow joint torque was reduced to 30% has the feature that the elbow does not bend much. From the analysis, it was found that the elbow angle of the optimized stroke depends on the upper limits for elbow joint torque.
社団法人日本機械学会の論文
2008-08-02