改进量子遗传算法辨识超混沌系统

J4 ›› 2016, Vol. 33 ›› Issue (5): 578-583.

改进量子遗传算法辨识超混沌系统

何颖¹,张海丽¹,石黄霞¹,鹿剑²

1 新疆工程学院电力工程系，新疆维吾尔自治区乌鲁木齐市，830023） 2 新疆维吾尔自治区特种设备检验研究院，乌鲁木齐市，830011）

收稿日期:2015-07-08 修回日期:2015-09-07 出版日期:2016-09-28 发布日期:2016-09-28
通讯作者: 何颖（1965-），女，新疆人，硕士，教授，从事量子物理学，电气工程和教学。 E-mail:425287215@qq.com

Improved Quantum Genetic Algorithm for identification of hyper-chaotic systems

He Ying，Zhang Haili，Shi Huangxia，Lu Jian

1.Xinjiang Institute of Engineering，Department of electric power engineering，Urumqi，830023 2. Special Inspection Institute of Xinjiang Uygur Autonomous Region,Urumqi,830011

Received:2015-07-08 Revised:2015-09-07 Published:2016-09-28 Online:2016-09-28

摘要/Abstract

摘要： 混沌系统的参数辨识是非线性科学中混沌控制与同步的关键问题。提出改进量子遗传算法，该算法具有良好的全局搜索能力,将其应用在混沌系统参数辨识问题。通过尽量减小实际系统与数学模型的状态同步误差来构造适应度函数，将参数辨识问题转化为一个多维优化问题。对超混沌Chen系统进行研究，并与基本量子遗传算法比较。实验仿真结果表明，改进量子遗传算法的有效和可行性，为混沌系统辨识开拓了一种新方法。

关键词: 量子光学；混沌参数辨识; 改进量子遗传算法；超混沌Chen系统

Abstract: Parameter identification of chaotic systems is a key issue of control and synchronization of chaos in nonlinear science. Propose improved quantum genetic algorithm this algorithm has a good capability of global search, which is used in the chaotic system parameter identification problem. By trying to reduce the actual status of the system and mathematical model of synchronous error to construct the fitness function, we transformed the parameter identification problem into the optimization in the multi-dimensional function space. The study of hyper chaotic Chen system, and compared with the basic Quantum Genetic Algorithm. Simulation results show that the improved quantum genetic algorithm is effective and feasible for chaotic system identification to open up a new way.

Key words: Quantum Optics; Parameter identification of chaos; Improved Quantum Genetic Algorithm; Hyper-chaotic Chen system

何颖张海丽石黄霞鹿剑. 改进量子遗传算法辨识超混沌系统[J]. J4, 2016, 33(5): 578-583.

He Ying，Zhang Haili，Shi Huangxia，Lu Jian. Improved Quantum Genetic Algorithm for identification of hyper-chaotic systems[J]. J4, 2016, 33(5): 578-583.

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