摘要
对基于遗传算法的基本原理及其关键参数的选择进行了讨论,提出了在遗传进化的选择过程中使用淘汰率和保护率的改进方案,并分析了两类参数的选择对遗传算法收敛速度的影响。最后通过将其与Matlab软件结合,实现遗传算法在数据全局寻优中的应用。
Based on the principle of Genetic Algorithm (GA), some discussions are made for the choice of some critical parameters in GA. Introducing two parameters--'Protected Percentage' and 'Eliminated Percentage', an improved scheme is proposed with the discussions of their selection for the influence on the acceleration of GA's convergence. By the mathematics software--Matlab, such algorithm is implemented and the results prove available.
出处
《计算机与现代化》
2003年第2期1-4,共4页
Computer and Modernization
关键词
遗传算法
参数选取
数据全局寻优
保护率
淘汰率
目标函数
genetic algorithm (GA)
protected percentage
eliminated percentage
global optimization
Matlab
