Optimal Air-defense Disposition Based on Chaos Particle Swarm Optimization Algorithm

被引：0
|
作者：
Lu, Xuefang [1 ]
Jia, Zhengwang [1 ]
Zhang, Xiaoliang [1 ]
机构：
[1] China Elect Technol Grp Corp, Res Inst 28, Nanjing 210007, Jiangsu, Peoples R China
来源：
2015 3RD ASIAN PACIFIC CONFERENCE ON MECHATRONICS AND CONTROL EINGINEERING (APCMCE 2015) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The present paper seeks to solve the optimal air-defense disposition problem for the surface-to-air missile systems (SAMS) by chaos particle swarm optimization algorithm (CPSO). This optimal problem is a nonlinear and NP-hard optimal programming problem which is hard to be solved by traditional optimization algorithm. In this paper, the mathematical expression of the optimal air-defense disposition problem is given. The CPSO algorithm is proposed to solve the problem which combines the basic PSO algorithm and the chaos local search algorithm to avoid getting into local solution. Penalty function method is applied for the inequality constraints in the optimal problem. Numerical experiment for the optimal air-defense disposition problem shows the effectiveness of the proposed algorithm.
引用
收藏
页码：229 / 232
页数：4
相关论文
共 50 条
  • [1] Hybrid optimization algorithm based on chaos,cloud and particle swarm optimization algorithm
    Mingwei Li
    Haigui Kang
    Pengfei Zhou
    Weichiang Hong
    JournalofSystemsEngineeringandElectronics, 2013, 24 (02) : 324 - 334
  • [2] Hybrid optimization algorithm based on chaos, cloud and particle swarm optimization algorithm
    Li, Mingwei
    Kang, Haigui
    Zhou, Pengfei
    Hong, Weichiang
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2013, 24 (02) : 324 - 334
  • [3] A Modified Particle Swarm Optimization Based on Genetic Algorithm and Chaos
    Li, Jize
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 509 - 512
  • [4] Particle Swarm Optimization Algorithm Based on Homogenized Chaos Mapping
    Zhao, Lei
    Bao, Liyong
    Guan, Zheng
    Ding, Hongwei
    PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2019), 2019,
  • [5] Chaos Particle Swarm Optimization Algorithm for Optimization Problems
    Liu, Wenbin
    Luo, Nengsheng
    Pan, Guo
    Ouyang, Aijia
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2018, 32 (11)
  • [6] Research on chaos particle swarm optimization algorithm
    School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China
    不详
    Moshi Shibie yu Rengong Zhineng, 2006, 2 (266-270):
  • [7] An Optimization Algorithm on Improved Chaos Particle Swarm
    Cao, Jian
    Cao, Zeyang
    Gong, Xiaopeng
    Li, Gang
    INTERNATIONAL CONFERENCE ON ELECTRICAL AND CONTROL ENGINEERING (ICECE 2015), 2015, : 413 - 416
  • [8] Optimization of CCHP system based on a chaos adaptive particle swarm optimization algorithm
    Yun B.
    Bai S.
    Zhang G.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (10): : 123 - 130
  • [9] The Particle Swarm Optimization Algorithm with Adaptive Chaos Perturbation
    Mengxia, L.
    Ruiquan, L.
    Yong, D.
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2016, 11 (06) : 804 - 818
  • [10] Mutative scale chaos particle swarm optimization algorithm
    Wang, Hong-gang
    Ma, Liang
    Zhang, Hui-zhen
    Li, Gao-ya
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON SYSTEM MANAGEMENT, 2008, : 71 - 77
12345