多目的近似最適化手法を用いた足裏アーチサポートの開発(<小特集>第18回設計工学・システム部門講演会)

概要

論文の詳細を見る
Recently, some people have problem of splayfoot. The splayfoot is the state with less arch than the average data. This symptom may not seem serious. However, it causes pain in walking. Splayfooted people become getting tired easily. It causes fatigue in daily life. In addition, these symptoms levels depend on the patients. Therefore a commercial arch support produced by the same mold is not always suitable for all patients. Thus arch support designed for individual patient is necessary. In this research, we develop ideal arch support for individual patient by using roentgenogram and approximate multi-objective optimization. We used convolute RBF as approximation of objective functions, and Genetic Range Genetic Algorithms (GRGAs) as optimizer. To meet the requirements simultaneously, we use satiscifing method. We have developed this method for years, and in that sense, this study is an application of it with experimental data. And we also verify the result successfully by using electromyogram.
社団法人日本機械学会の論文
2009-08-25