Clonal selection algorithm with adaptive mutation and roulette wheel selection

被引：10
|
作者：
He, Yi [1 ]
Jian, Chuanbao [2 ]
机构：
[1] Chongqing Normal Univ, Sch Econ & Management, Chongqing 400047, Peoples R China
[2] Network Ltd Co, Dev Dept Shenzhen Lingyu Commun, Shenzhen 518115, Peoples R China
来源：
CIS WORKSHOPS 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY WORKSHOPS | 2007年
关键词：
D O I：
10.1109/CIS.Workshops.2007.179
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, roulette wheel selection strategy and adaptive mutation operation were introduced to the basic immune clonal selection algorithm (ICSA) in order to overcome premature convergence and stagnation at the end stage of iterative optimization. The method was utilized to optimize two types of typical testing functions and the simulation results show that the algorithm can improve the ability of searching the global optimum and yield superior results compared with the basic immune clonal selection algorithm.
引用
收藏
页码：93 / +
页数：2
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