A New Quantum Clonal Algorithm

被引：0
|
作者：
Changsheng, Gan [1 ]
Liang, Zhou [2 ]
机构：
[1] Shanghai Maritime Univ, Sch Econ & Management, Shanghai 200135, Peoples R China
[2] Donghua Univ, Glorious Sun Sch Business Management, Shanghai 200051, Peoples R China
来源：
MABE 09: PROCEEDINGS OF THE 5TH WSEAS INTERNATIONAL CONFERENCE ON MATHEMATICAL BIOLOGY AND ECOLOGY | 2009年
关键词：
quantum computing; evolutionary algorithm; CLONALG; Cauchy mutation; Q-gate; knapsack problem;
D O I：
暂无
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
The traditional quantum evolutionary algorithms (QEAs) are effective algorithms based on the quantum computing, which combines some principles such as concepts of qubits and superposition of states. However, they have some disadvantages in the application, such as slow converging speeding and prematurity. In this paper, a new quantum evolutionary algorithm, called the quantum clonal algorithm (QCA), is proposed based on the combining of QEA with the main mechanisms of clone. QCA can availably solve 0/1 knapsack problem and it has better diversity and the converging speed than the traditional QEA.
引用
收藏
页码：93 / +
页数：3
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