Construction of Computer Mathematical Model Based on Improved Genetic Algorithm

This paper presents a computer mathematical model that addresses the issue of data redundancy in a genetic algorithm. The model combines an enhanced genetic algorithm with mobile computing. A MATLAB program that relies on a least square approach to solve equations, ascertain the parameter range, and address estimate parameter range and identification issues will be used in the paper. Integrating an enhanced genetic algorithm with mobile computing and the least square approach resulted in a significant expansion of the individual search area and a 90% gain in operational efficiency compared to the basic genetic algorithm or mobile computing alone. The findings demonstrate that the enhanced genetic algorithm and mobile computing can discern the ideal solution and significantly improve job efficiency.