The immune quantum-inspired evolutionary algorithm

被引：16
|
作者：
Li, Y [1 ]
Zhang, YN [1 ]
Zhao, RC [1 ]
Jiao, LC [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Comp, Xian 710072, Peoples R China
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7 | 2004年
关键词：
evolutionary algorithm; quantum-inspired evolutionary algorithm; immune operator; knapsack problem;
D O I：
10.1109/ICSMC.2004.1400850
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
By leading immune concepts and methods into quantum-inspired evolutionary algorithm (QEA), a novel algorithm, the immune quantum-inspired evolutionary algorithm (IQEA), is proposed. On condition of preserving QEA's advantages, IQEA utilizes some characteristics and knowledge in the pending problems for restraining the repeat and ineffective operations during evolution, so as to improve the algorithm efficiency. The experimental results of the knapsack problem show that the performance of IQEA is superior to the conventional EA (CEA), the immune EA (IEA) and QEA.
引用
收藏
页码：3301 / 3305
页数：5
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