带有对称编码的基因算法中的优良个体成员选取和保存技术

TECHNIQUES OF SELECTING AND SAFEGUARDING THE GOOD MEMBERS IN GENETIC ALGORITHM WITH SYMMETRIC CODE

摘要: 在带有对称编码的基因算法中，作者提出了多种新的基因算法技术．文中进一步讨论了这种基因算法中采用的优良个体成员选取和保存技术对算法性能产生的影响，确定了优良个体选取的方法．该算法技术在机器人的动力学优化控制和路线规划问题中的应用实验所得到的结果表明，这项技术对带有对称编码的基因算法的性能具有重要影响．

Abstract: Several new genetic techniques are proposed in the genetic algorithm with symmetric code （GASC）.The effects on the performances of GASC yielded by the techniques for selecting and safeguarding good members in GASC are discussed in detail.The method of selecting good members is also given. The results obtained from the application of these techniques to the problem of robot dynamic optimal control and trajectory planning show us that these techniques have important effects on the genetic algorithm.