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分组量子遗传算法及其应用
引用本文:郭海燕,金炜东,李丽,罗碧华.分组量子遗传算法及其应用[J].西南科技大学学报,2004,19(1):18-21,36.
作者姓名:郭海燕  金炜东  李丽  罗碧华
作者单位:1. 西南交通大学电气学院,四川,成都,610031
2. 西南科技大学信息与控制工程学院,四川,绵阳,621000
摘    要:量子遗传算法是一种高效的并行算法,但它易陷入局部极值。提出一种分组量子遗传算法,通过分层、分组等方法,保证了染色体的多样性。典型函数测试结果表明,分组量子遗传算法具有全局最优性,其性能优于其它几种遗传算法和QGA。

关 键 词:分组量子遗传算法  生物进化模型  QGA的算法  量子计算
文章编号:1671-8755(2004)01-0018-04

Classified Quantum Genetic Algorithm and Its Application
Guo Haiyan,Jin Weidong,Li Li,Luo Bihua .Southwest Jiaotong University,Chengdu ,Sichuan,China .Southwest University of Science and Technology,Mianyang ,Sichuan,China.Classified Quantum Genetic Algorithm and Its Application[J].Journal of Southwest University of Science and Technology,2004,19(1):18-21,36.
Authors:Guo Haiyan  Jin Weidong  Li Li  Luo Bihua Southwest Jiaotong University  Chengdu  Sichuan  China Southwest University of Science and Technology  Mianyang  Sichuan  China
Institution:Guo Haiyan~1,Jin Weidong~1,Li Li~2,Luo Bihua~2 1.Southwest Jiaotong University,Chengdu 610031,Sichuan,China 2.Southwest University of Science and Technology,Mianyang 621010,Sichuan,China
Abstract:Quantum genetic algorithm is an efficient parallel algorithm,but it drops into local optimum easi- ly. Classified quantum genetic algorithm assures the diversities of chromosome by delaminated and classi- fied. The results from typical function test demonstrate that it can converge in global space and the conver- gence speed of it is faster than other QGA.
Keywords:optimization  genetic algorithm  quantum genetic algorithm
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