Computer Mathematical Modeling Based on the Improved Genetic Algorithm and Mobile Computing | Zendy

Wei Hui-xian | Zendy; Liu Jia | Zendy

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Computer Mathematical Modeling Based on the Improved Genetic Algorithm and Mobile Computing

Author(s) -

Wei Hui-xian,

Liu Jia

Publication year - 2021

Publication title -

wireless communications and mobile computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.42

H-Index - 64

eISSN - 1530-8677

pISSN - 1530-8669

DOI - 10.1155/2021/1584435

Subject(s) - computer science , genetic algorithm , matlab , redundancy (engineering) , algorithm , range (aeronautics) , cultural algorithm , software , population based incremental learning , mathematical optimization , machine learning , mathematics , materials science , composite material , programming language , operating system

In order to change the problem of data redundancy in a genetic algorithm, this paper proposes a computer mathematical model based on the combination of an improved genetic algorithm and mobile computing. Combined with the least square method, MATLAB software is used to solve the equations, determine the range of parameters, and solve the estimation parameter range and identification problems. The improved genetic algorithm combined with mobile computing and least square method to establish a mathematical model greatly increased the individual search space and increased the operation rate of 90% compared to the basic genetic algorithm or mobile computing. The results show that the improved genetic algorithm and mobile computing have a certain ability to identify the optimal solution and greatly improve the work efficiency.

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