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
  • [41] The Layout Optimization of Charging Stations for Electric Vehicles Based on the Chaos Particle Swarm Algorithm
    Zhang, Zhenghui
    Huang, Qingxiu
    Huang, Chun
    Yuan, Xiuguang
    Zhang, Dewei
    PATTERN RECOGNITION (CCPR 2014), PT II, 2014, 484 : 565 - 574
  • [42] A resource schedule method for cloud computing based on chaos particle swarm optimization algorithm
    Zheng, Lei
    Hu, Defa
    Computer Modelling and New Technologies, 2014, 18 (10): : 219 - 223
  • [43] Method of particle swarm optimization based on the chaos map
    Liu D.-H.
    Yuan S.-C.
    Lan Y.
    Ma X.-J.
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2010, 37 (04): : 764 - 769
  • [44] An Improved Particle Swarm Optimization Method Based on Chaos
    Yang, Zuyuan
    Yang, Huafen
    Yang, You
    Zhang, Lihui
    2014 10TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2014, : 209 - 213
  • [45] OPTIMAL COMPOSITION AND DEPLOYMENT OF A HETEROGENEOUS LOCAL AIR-DEFENSE SYSTEM
    LEIBOWITZ, ML
    LIEBERMAN, GJ
    OPERATIONS RESEARCH, 1960, 8 (03) : 324 - 337
  • [46] Multi-objective Reactive Power Optimization Based on Refined Chaos Particle Swarm Optimization Algorithm
    Ai, Ying
    Nie, Hongwei
    Su, Yixin
    Zhang, Danhong
    Peng, Yao
    CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 1857 - +
  • [47] Chaos particle swarm optimization algorithm based on multi-agent architecture for reactive power optimization
    Tang, Xian-Lun
    Zhang, Heng
    Zhou, Jia-Lin
    Deng, Shuo
    Tang, Hai
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2013, 17 (06): : 15 - 21
  • [48] Chaotic particle swarm optimization algorithm based on the essence of particle swarm
    Lin, Chuan
    Feng, Quanyuan
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2007, 42 (06): : 665 - 669
  • [49] Optimal Operation of Hydropower Station Based on Improved Particle Swarm Optimization Algorithm
    Ma, Xin
    ADVANCED RESEARCH ON COMPUTER SCIENCE AND INFORMATION ENGINEERING, 2011, 153 : 226 - 231
  • [50] Optimal operation of cascade reservoirs based on improved particle swarm optimization algorithm
    Peng, Yong
    Liang, Guohua
    Zhou, Huicheng
    Shuili Fadian Xuebao/Journal of Hydroelectric Engineering, 2009, 28 (04): : 49 - 55
12345