Abstract
In this paper, we propose a healthcare system suggesting exercises and meals that are matchedto an individual user. In Japan, the risk of lifestyle-related diseases has recently increased, and manyare interested in improving their health. In particular, it is important to reduce the incidence of obesitythat is considered to be the main cause of various lifestyle-related diseases. In this study, we focus onexercise and meal choice as a form of healthcare. We simulated creating personalized exercise menus usingthe tabu search and genetic algorithm search functions to create optimized and minimally overlappingexercise combinations for individual users. Therefore, the best search performance was obtained on usingthe genetic algorithm.
