Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Changchun University》 2011-10
Add to Favorite Get Latest Update

Improved Particle Swarm Optimization

SONG Ji-hong(College of Electronic Information Engineering,Changchun University,Changchun 130022,China)  
To improve the searching performance of particle swarm optimization,in accordance with problems of the strong randomness and slow convergence of the original algorithms,this paper presents an annealing-based improved particle swarm optimization,which is helpful for searching the global optimal solution.Through measuring and calculating classical functions,it is shown that the method is efficient and feasible.
【CateGory Index】: TP18
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 2 Hits
1 Bai Liyuan Hu Shengyan Liu Suhua(Department of Computer Science,Henan University of Technology,Zhengzhou 450052);A Fuzzy Clustering Algorithm Based on Simulated Annealing and Genetic Algorithm[J];Computer Engineering and Applications;2005-09
2 XIE Xiao-feng, ZHANG Wen-jun, YANG Zhi-lian(Institute of Microelectronics, Tsinghua University, Beijing 100084, China);Overview of particle swarm optimization[J];Control and Decision;2003-02
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 CHEN Hao,LI Hong(School of Automation,Beijing Information Science and Technology University,Beijing 100192,China);Research of particle swarm optimization controller in brushless DC motor system[J];Journal of Beijing Institute of Machinery;2008-04
2 ZHAO Xiao-ying,LIU Guo-zhi,JIANG Feng-li(Mathematics and Physics Faculty,Liaoning University of Petroleum and Chemical Technology,Fushun Liaoning 113001,China);A Maximum-Entropy Particle Swarm Optimization for a Class of Non-Differentiable Optimization Problems[J];Journal of Jiangxi Normal University(Natural Sciences Edition);2007-02
3 ZHANG Li-biao,ZHOU Chun-guang,LIU Xiao-hua,MA Ming(College of Computer Science and Technology, Jilin University, Changchun 130012,China);Application of Particle Swarm Optimization for Solving Optimization Problems[J];Journal of Changchun Post and Telecommunication Institute;2005-04
4 GAO Yan-li, LIU Shi-bin~ ( College of Electronic and Information ,Northwestern Polytechnical University, Xi′an 710072 , China);Application of Neural Network Based on PSO in Data Fusion of Sensor[J];Chinese Journal of Sensors and Actuators;2006-04
5 LI Xiao-bin1,2,LIU Ding1,ZUO Lei2 1.Research Center of Information and Control Engineer,Xi'an University of Technology,Xi'an,710048,China;2.College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China;Application of RBF-PSO in Nonlinear Calibration for Thermocouple Sensor[J];Chinese Journal of Sensors and Actuators;2007-04
6 WANG Hai-feng,ZHANG Jin-lin,RUI Ting,LIANG Zheng-yang,LI Feng-shan(Engineering Institute of Engineering Corps,PLA University of Science &Technology,Nanjing 210007,China);Application of passive acoustic technology in field of traffic flow measurement[J];Transducer and Microsystem Technologies;2008-11
7 NI Yong-zhong,XU Hong(Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of Ministry of Education,North China Electric Power University,Beijing 102206,China);Parameter Identification of Material Constitutive Model Based on Particle Swarm Algorithm and Finite Element Method[J];Journal of Materials Science and Engineering;2010-03
8 West-to-East Gas Pipeline Company YU-E Management Department, PetroChina Chen Kunming Guangdong Natural Gas Pipeline Ltd Guangdong Guangzhou Wu Huali Southwest Petroleum University Zhu Weiping;The Review about Optimally Scheduling and Managing Transmission and Distribution for Natural Gas Pipeline Network[J];Urban Gas;2008-10
9 YAO Yu(Changchun University of Technology,Changchun 13001,China);Survey on particle swarm optimization[J];Information Recording Materials;2009-04
10 DUAN Jinchang(State Grid Electric Power Research Institute,Nanjing 210003,China);Improved Particle Swarm Optimization Algorithm for Optimal Scheduling of Cascade Hydropower Stations[J];Hydropower Automation and Dam Monitoring;2009-05
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved