摘要
免疫算法是在免疫系统识别多样性的启发下所设计出的一种新的多峰值函数的寻优算法。与遗传算法相似，免疫算法也是一种随机启发式算法，因而算法中的一些参数的取值和操作的具体实现形式对算法的性能产生较大的影响。该文针对几种关键操作，讨论了它们对算法性能的影响。
Immune algorithm is a new optimization algorithm imitating the immune system to solve the multi-modal function optimization problem. Just as genetic algorithms, immune algorithm is also a stochastic heuristic method, whose performance is determined mainly by several parameters and operators. This paper discusses how performance of the algorithm is affected by several important operators in solving the multi-modal function optimization problem.
出处
《计算机工程》
CAS
CSCD
北大核心
2003年第5期62-63,165,共3页
Computer Engineering
基金
广东省科技厅工业攻关项目(C10909)
