摘要: 介绍了协同进化遗传算法及其实际应用,大量的实验数据表明,它的性能明显优于传统的遗传算法,而且对不同的协同进化方法进行了对比。由此本文提出用协同进化遗传算法来解决入侵响应问题,以提高响应的速度和效率,最后预测了协同进化遗传算法的发展方向和应用。
关键词:
协同进化遗传算法,
适应度,
收敛
Abstract: In the paper,a genetic algorithm which coevolves individuals is intrduced.Its operation is illustrated on a lot of different applications.Then, it compares the differences between coevotionary genetic algorithm and traditionary genetic algorithms, furthermore different co-evolutionary approaches are compared. Whereas CGA itself has many good performances,a new method is presented to solve the problem of intrusion response. Finally.according the trends of coevolution development, the paper predicts the future trends of its development and application.
中图分类号:
张运凯,王方伟,张玉清,马建峰. 协同进化遗传算法及其应用[J]. , 2004, 30(15): 48-.
ZHANG Yunkai, WANG Fangwei, ZHANG Yuqing, MA Jianfeng. Co-evolutionary Genetic Algorithm and Its Applications[J]. , 2004, 30(15): 48-.