A Quantum Particle Swarm Optimization Algorithm with Available Transfer Capability

被引：4
|
作者：
Qu Liping [1 ]
Meng Yan [2 ]
Li Dongheng [3 ]
Xue Hai-bo [4 ]
机构：
[1] Beihua Univ, Engn Training Ctr, Jilin 132011, Jilin, Peoples R China
[2] Jilin Prov Ind Technician Coll, Dept Elect Engn, Jilin 132011, Jilin, Peoples R China
[3] State Grid Jilin Elect Power Co Ltd, Shulan Power Supply Co, Jilin 132011, Jilin, Peoples R China
[4] Jilin Municipal Govt, Jilin 132011, Jilin, Peoples R China
来源：
2020 19TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2020) | 2020年
关键词：
available transmission capacity; particle swarm optimization algorithm; quantum particle swarm optimization algorithm;
D O I：
10.1109/DCABES50732.2020.00076
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Quantum particle swarm algorithm integrated the quantum behavior with particle swarm optimization algorithm, is used to settle the majorization question of calculating available transmission capability. And by using the software of Matlab to IEEE-30 bus system as an example of the simulation, after comparing the simulation results with the traditional particle swarm optimization algorithm results, we dissected the optimization performance and convergence speed of the above two algorithms, and verify the effectiveness of quantum particle swarm algorithm to settle the majorization question of the available transmission capability.
引用
收藏
页码：267 / 270
页数：4
相关论文
共 50 条
  • [41] Quantum discrete particle swarm algorithm of tidal turbine array optimization
    Wu Y.
    Wu H.
    Wu G.
    Wang H.
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2022, 43 (01): : 41 - 47
  • [42] An improved quantum particle swarm optimization algorithm for environmental economic dispatch
    Zhao Xin-gang
    Liang Ji
    Meng Jin
    Zhou Ying
    EXPERT SYSTEMS WITH APPLICATIONS, 2020, 152
  • [43] Quantum-behaved particle swarm optimization algorithm with controlled diversity
    Sun, Jun
    Xu, Wenbo
    Fang, Wei
    COMPUTATIONAL SCIENCE - ICCS 2006, PT 3, PROCEEDINGS, 2006, 3993 : 847 - 854
  • [44] Quantum particle swarm optimization algorithm with the truncated mean stabilization strategy
    Zhou, Nan-Run
    Xia, Shu-Hua
    Ma, Yan
    Zhang, Ye
    QUANTUM INFORMATION PROCESSING, 2022, 21 (02)
  • [45] An Improved Hybrid Quantum Particle Swarm Optimization Algorithm for FJS']JSP
    Zhang, Qiwen
    Hu, Songqi
    ICMLC 2019: 2019 11TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING, 2019, : 246 - 252
  • [46] A collision detection algorithm based on improved quantum particle swarm optimization
    Wang, Yuanhua
    Zhang, Qiang
    Zhou, Dongsheng
    WSEAS Transactions on Information Science and Applications, 2014, 11 (01): : 24 - 31
  • [47] A Novel Binary Quantum-behaved Particle Swarm Optimization Algorithm
    Zhao, Jing
    Li, Ming
    Wang, Zhihong
    Xu, Wenbo
    2013 12TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING & SCIENCE (DCABES), 2013, : 119 - 123
  • [48] Quantum particle swarm algorithm for Many-objective optimization problem
    Xia Changhong
    Zhang Yong
    Gong Dunwei
    Sun Xiaoyan
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 4566 - 4571
  • [49] A Quantum Particle Swarm Optimization and Genetic Algorithm Approach to the Correspondence Problem
    Hadavi, Hamid
    Viktor, Herna L.
    Paquet, Eric
    2014 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA 2014), 2014, : 226 - 233
  • [50] A Novel Quantum Inspired Particle Swarm Optimization Algorithm for Electromagnetic Applications
    Tu, Shanshan
    Rehman, Obaid Ur
    Rehman, Sadaqat Ur
    Ullah, Shafi
    Waqas, Muhammad
    Zhu, Ran
    IEEE ACCESS, 2020, 8 : 21909 - 21916
12345