Quantum-behaved Particle Swarm Optimization Algorithm for Solving Nonlinear Equations

被引：0
|
作者：
Zhang, Xiaofeng [1 ]
Sui, Guifang [1 ]
机构：
[1] Nanchang Hangkong Univ, Coll Informat Engn, Nanchang, Jiangxi, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION APPLICATIONS (ICCIA 2012) | 2012年
关键词：
Quantum Particle Swarm Optimization; Quantum rotation gates; Nonlinear equations; Function optimization;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A quantum-behaved particle swarm optimization algorithm is presented in this paper for solving nonlinear equations. The positions of particle are coded by probability amplitudes of qubits that are updated by quantum rotation gates in this method. The corresponding real number solution at specified interval can be extracted by this algorithm for solving nonlinear equations. Compared to real traditional method, the simulation results show that this algorithm is more accurate and effective.
引用
收藏
页码：1674 / 1677
页数：4
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