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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第15期38-40,43,共4页
Computer Engineering
基金
国家信息关防与网络安全保障持续发展计划
国家"863"计划(2002AA142151)
中国科学院知识创新工程方向性项目(KGCX2-106)
北京市科技计划项目(H020120090530)
关键词
协同进化遗传算法
适应度
收敛
Co-evolutionary genetic algorithm(CGA)
Fitness
Convergence
