A Novel Terminal Interface Layout with User Requirements based on Genetic Algorithm

At present, user demand has become a part of many e-commerce platforms, based on this, this paper proposes an optimized design scheme based on improved genetic algorithm for the terminal interface layout of e-commerce platform user needs, aiming to improve user experience. Based on the dynamic adjustment of the platform layout, the algorithm can solve the problems of response speed and misoperation in multi-task switching, data loading, button clicking, etc. After optimization, the response time of the platform is reduced by more than 50%, and the response speed of multi-task switching and button clicks is increased by 60%. At the same time, the satisfaction of the user interface has been significantly improved in terms of clarity, convenience of interaction, response speed, and personalized experience, and the personalized experience has been improved by 83.3%. The misoperation rate was significantly reduced, and the click-through rate of incorrect selection decreased by 65.3%. The results show that the improved genetic algorithm can effectively improve the user experience and competitiveness of the platform, especially in terms of operation accuracy and response speed.