a real-valued quantum genetic niching clustering algorithm and its application to color image segmentation
文献类型：会议论文
| 作者 | Chang Dongxia ; Zhao Yao ; Zheng Changwen |
| 出版日期 | 2011 |
| 会议名称 | 2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011 |
| 会议日期 | December 14, 2011 - December 17, 2011 |
| 会议地点 | Wuhan, Hubei, China |
| 关键词 | Image segmentation Quantum computers Quantum optics |
| 页码 | 144-147 |
| 中文摘要 | This paper proposes a novel genetic clustering algorithm, called a real-valued quantum genetic niching clustering algorithm (RQGN), which is based on the concept and principles of quantum computing, such as the qubits and superposition of states. Our algorithm can automatically clustering a data set into clusters without the need to know the number of clusters in advance. A dynamic identification of the niches is performed at each generation to automatically evolve the optimal number of clusters as well as the cluster centers of the data set. After getting the niches of the population, a Q-gate with adaptive selection of the angle for every niches is introduced as a variation operator to drive individuals toward better solutions. The experimental results show that RQGN algorithm has high performance, effectiveness and flexibility. © 2011 IEEE. |
| 英文摘要 | This paper proposes a novel genetic clustering algorithm, called a real-valued quantum genetic niching clustering algorithm (RQGN), which is based on the concept and principles of quantum computing, such as the qubits and superposition of states. Our algorithm can automatically clustering a data set into clusters without the need to know the number of clusters in advance. A dynamic identification of the niches is performed at each generation to automatically evolve the optimal number of clusters as well as the cluster centers of the data set. After getting the niches of the population, a Q-gate with adaptive selection of the angle for every niches is introduced as a variation operator to drive individuals toward better solutions. The experimental results show that RQGN algorithm has high performance, effectiveness and flexibility. © 2011 IEEE. |
| 收录类别 | EI |
| 会议主办者 | IEEE Tainan Section; Huazhong University of Science and Technology; National Cheng Kung University |
| 会议录 | Proceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
 |
| 语种 | 英语 |
| ISBN号 | 9780769546230 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16303]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Chang Dongxia,Zhao Yao,Zheng Changwen. a real-valued quantum genetic niching clustering algorithm and its application to color image segmentation[C]. 见:2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011. Wuhan, Hubei, China. December 14, 2011 - December 17, 2011. |
入库方式： OAI收割
来源：软件研究所
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