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遗传的算法作为一种新的非线性优化方法被广泛应用于计算机科学、工程建设以及疾病诊断和检测等领域中,取得了一定的实效。遗传算法适用于解决复杂的非线性和多维空间寻求最优解的问题,是一种基于计算机软件技术应用的新型算法技术。本文在前人研究的基础上对基于Matlab软件环境的遗传基因算法的基本原理和计算特点进行了系统的研究,并对其基本操作和求解步骤进行了系统的阐述,希望对我国计算领域的发展有一定的指导意义。
Genetic algorithm as a new nonlinear optimization method is widely used in computer science, engineering construction and disease diagnosis and detection and other fields, and achieved some results. Genetic algorithm is suitable for solving complex nonlinear and multi-dimensional space to seek the optimal solution, which is a new algorithm based on the application of computer software technology. Based on the previous studies, this paper systematically studies the basic principles and computational characteristics of the genetic algorithm based on the Matlab software environment, and systematically elaborates the basic operation and solving steps. It is hoped that the development of China’s computing field Have some guiding significance.