Research based on improved genetic algorithm in the optimization of running shoe sole side profile shape

With the development of modern technology, high-performance running shoes play a critical role in improving athletes' running performance. Kipchoge (Eliud Kipchoge) first used carbon board running shoes in large events in 2017, and achieved remarkable results. In recent years, he has broken the marathon world record many times, among which, the role of carbon board running shoes canbe overlooked. This paper is intended to discuss the optimized design of carbon board running shoes to further improve the running efficiency and reduce energy expenditure in athletes. First, a photomechanical model [1] considering the characteristics of running shoes and athletes, and the genetic algorithm [2] and simulated anneal [3] were developed to find the best sole side profile shape. Through the optimization, the comfort and stability of the sole are significantly improved. Then, we embedded the full-length carbon plates in the sole and built the carbon plate mechanical model [4]. The optimization results show that the embedded carbon plate can effectively reduce energy consumption, increase the efficiency of running pace and running shoe performance. Finally, we re-optimized the side profile of the sole and the carbon plate parameters, so that the side profile of the sole showed a more stable curve, the warping of the toe and heel is reduced, and the sole has higher mechanical efficiency.