Recommendation Model for Youth Sports Nutrition Programs Based on Multi-Population Cooperative IPSO Algorithm

Tailored nutrition plans becoming increasingly important to improve adolescent sports performance, investigates the study development of a model for adolescent sports nutrition plan recommendation using a multi-population collaborative Improved Particle Swarm Optimization (IPSO) algorithm in optimizing dietary recommendations based on individual characteristics activity levels. Proposed model integrates different populations improve the convergence of the algorithm. Analyzing nutritional needs of the population of adolescents engaged in different sports provide personalized dietary recommendations meet their energy needs. The results of the effectiveness evaluation of the model suggest IPSO model enhance nutritional guidance for adolescent athletes promote healthier eating habits.