模式识别与人工智能
Thursday, Apr. 10, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2013, Vol. 26 Issue (8): 787-793    DOI:
article Current Issue| Next Issue| Archive| Adv Search |
Adaptive Quantum-Behaved Particle Swarm Optimization Algorithm Based on Cloud Model
MA Ying1, 2, TIAN Wei-Jian1, FAN Yang-Yu1
1.School of Electronics and Information, Northwestern Polytechnical University, Xian 710072
2.School of Electronic Information Engineering, Xian Technological University, Xian 710032W

Download: PDF (466 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  

Utilizing the characteristic of cloud model principles which can make good balance between the randomness and the fuzziness, an adaptive quantum-behaved particle swarm optimization algorithm based on cloud model is proposed. Firstly, the control mechanism of quantum-behaved particle swarm optimization algorithm is analyzed. On this basis, the absorption-expansion factor of each particle is adaptively controlled by cloud operators to achieve the dynamic adjustment to the positions of particles in evolutionary process. Thus, the proposed algorithm obtains a higher convergence speed and a stronger global search ability. Programs are modified for the targeted optimization to make the proposed algorithm effectively avoid falling into local optimum. The results of simulation experiments with typical test functions show that the proposed algorithm has advantages in search ability, accuracy and stability, and it is more effective than other similar algorithms.

Key wordsCloud Model      Quantum-Behaved Particle Swarm Algorithm      Quantum Computing      Function Optimization     
Received: 19 November 2012     
ZTFLH: TP301.6  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Ma-Ying
TIAN Wei-Jian
FAN Yang-Yu
Cite this article:   
Ma-Ying,TIAN Wei-Jian,FAN Yang-Yu. Adaptive Quantum-Behaved Particle Swarm Optimization Algorithm Based on Cloud Model[J]. , 2013, 26(8): 787-793.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2013/V26/I8/787
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn