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遗传算法作为一种新的优化方法,广泛地用于计算科学、模式识别和智能故障诊断等方面,它适用于解决复杂的非线性和多维空间寻优问题,近年来也得到了较为广阔的应用。文章简单介绍了遗传算法的原理和特点,以及基本操作和求解步骤,再基于Matlab编写程序求解函数极值的优化问题。程序设计过程表明,用Matlab语言进行优化计算,具有编程语句简单,用法灵活,编程效率高等优点,经仿真验证,该算法是正确可行的。
As a new optimization method, genetic algorithm is widely used in computational science, pattern recognition and intelligent fault diagnosis. It is suitable for solving complex nonlinear and multi-dimensional space optimization problems and has been widely used in recent years . The article briefly introduces the principle and characteristics of genetic algorithm, as well as the basic operation and solving steps, and then based on Matlab programming to solve the function of the extreme value optimization problem. The program design process shows that using Matlab language to optimize the calculation has the advantages of simple programming language, flexible usage and high programming efficiency. The simulation results show that the algorithm is correct and feasible.