|1||ZHANG Z S. Monitoring technology of optimized distribution and fusion of radar network. Changsha, China: National University of Defense Technology, 2003. (in Chinese)|
JIANG W, LI Y, RIZOS C, et al. Seamless indoor-outdoor navigation based on GNSS, INS and terrestrial ranging techniques. Journal of Navigation, 2017, 70 (6): 1183- 1204.
|3||JIANG W, LI Y, RIZOS C. A multi-sensor navigation system based on adaptive fault-tolerant GOF algorithm. IEEE Trans. on Intelligent Transportation Systems, 2017, 18 (1): 103- 113.|
|4||HAN J C, HUANG J X, LV C Z. Optimization and deployment of regional air defense radar network based on GPSO algorithm. Technology Wind, 2008, 23, 26- 27.|
DENG H. Orthogonal netted radar systems. IEEE Aerospace and Electronic Systems Magazine, 2012, 27 (5): 28- 35.
KUSIAK A, WEI X P, VERMA A P, et al. Modeling and prediction of rainfall using radar reflectivity data: a data-mining approach. IEEE Trans. on Geoscience and Remote Sensing, 2013, 51 (4): 2337- 2342.
WANG Y, LI B, WEISE T, et al. Self-adaptive learning based particle swarm optimization. Information Sciences, 2011, 181 (20): 4515- 4538.
|8||HOOSHMAND R A, SOLTANI S. Fuzzy optimal phase balancing of radial and meshed distribution networks using BF-PSO algorithm. IEEE Trans. on Power Systems, 2012, 27 (1): 47- 57.|
|9||YANG C R, WANG M Z, GONG H H, et al. Application of improved particle swarm optimization in radar network deployment. Application Research of Computers, 2010, 27 (9): 3268- 3271.|
|10||LIU Y J, HU Y, YU Y, et al. Study of radar deployment under complex terrain environment based on improved PSO. Fire Control and Command Control, 2014, 39 (9): 164- 168.|
|11||DING L F, GENG F L. Principles of radar. Xi’an: Xidian University Press, 3rd ed 2005.|
|12||GUO Z X, JIANG J. Computation model of radar detection probability with various distance. Journal of Air Force Radar Academy, 2003, 17 (4): 7- 9.|
|13||LIU D S. Basic theory and technology of radar counter countermeasure. Beijing: Beijing Institute of Technology Press, 1989.|
|14||LUO H A. Optimization design of radar anti jamming network. Wuhan, China: Air Force Radar Academy, 1996.|
|15||VALLE Y D, VENAYAGAMOORTHY G K, MOHAGHEGHI S, et al. Particle swarm optimization: basic concepts, variants and applications in power systems. IEEE Trans. on Evolutionary Computation, 2008, 12 (2): 171- 195.|
KULKARNI R V, VENAYAGAMOORTHY G K. Particle swarm optimization in wireless-sensor networks: a brief survey. IEEE Trans. on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2011, 41 (2): 262- 267.
ZHANG Z B, CHEN X, SU S, et al. A unified enhanced particle swarm optimization-based virtual network embedding algorithm. International Journal of Communication Systems, 2013, 26 (8): 1054- 1073.
TAN Y, TAN G Z, DENG S G. Hybrid particle swarm optimization with chaotic search for solving integer and mixed integer programming problems. Journal of Central South University, 2014, 21 (7): 2731- 2742.
|19||KENNEDY J, EBERHART R C. Particle swarm optimization. Proc. of the IEEE International Conference on Neural Networks, 1995: 1942-1948.|
|20||SHI Y, EBERHART R C. A modified particle swarm optimizer. Proc. of the IEEE International Conference on Evolutionary Computation, 1998: 68-73.|
|21||LIU X M. The summarization of particle swarm optimization algorithm in dynamic system. Software Guide, 2016, 15 (10): 43- 46.|
|22||MALLIPEDDI R, SUGANTHAN P N, PAN Q K, et al. Differential evolution algorithm with ensemble of parameters and mutation strategies. Applied Soft Computing, 2011, 11 (2): 1679- 1696.|
|23||LIANG X M, DONG S H, LONG W, et al. PSO algorithm with dynamical inertial weight vector and dimension mutation. Computer Engineering and Applications, 2011, 47 (5): 29- 31.|
|24||GAO Z H, MEI L. Particle swarm optimization algorithm with composite strategy inertia weight. Journal of Computer Applications, 2012, 32 (8): 2216- 2218.|
|25||WEI X Q, ZHOU Y Q, HUANG H J, et al. Adaptive particle swarm optimization algorithm based on cloud theory. Computer Engineering and Applications, 2009, 45 (1): 48- 50.|
|26||LI D Y, LIU C Y. Study on the universality of the normal cloud model. Engineering Scicnce, 2004, 6 (8): 28- 34.|
|27||LIU H X, ZHOU Y Q. A cloud adaptive particle swarm optimization algorithm based on mean. Computer Engineering & Science, 2011, 33 (5): 97- 101.|
|28||ZHANG Y J, SHAO S F, NIYONGABO J. Cloud hypermutation particle swarm optimization algorithm based on cloud model. Pattern Recognition and Artificial Intelligence, 2011, 24 (1): 90- 96.|
|29||LI D, LIU C, GAN W. A new cognitive model: cloud model. International Journal of Intelligent Systems, 2009, 24 (3): 357- 375.|
YANG X J, YAN L L, PENG H, et al. Encoding words into cloud models from interval-valued data via fuzzy statistics and membership function fitting. Knowledge-Based Systems, 2014, 55, 114- 124.
|31||LIAN X Y, ZHANG J, CHEN C, et al. Three-dimensional deployment optimization of sensor network based on an improved particle swarm optimization algorithm. Proc. of the 10th World Congress on Intelligent Control and Automation, 2012: 6-8.|
|32||HUANG C P, XIONG X, XU B G. Influence of inertia weight on astringency of particle swarm algorithm and its improvement. Computer Engineering, 2008, 34 (12): 31- 33.|
|||Jun CHEN, Xudong GAO, Jia RONG, Xiaoguang GAO. A situation awareness assessment method based on fuzzy cognitive maps [J]. Journal of Systems Engineering and Electronics, 2022, 33(5): 1108-1122.|
|||Bing WANG, Pengfei ZHANG, Yufeng HE, Xiaozhi WANG, Xianxia ZHANG. Scenario-oriented hybrid particle swarm optimization algorithm for robust economic dispatch of power system with wind power [J]. Journal of Systems Engineering and Electronics, 2022, 33(5): 1143-1150.|
|||Jianwei SUN, Chao WANG, Qingzhan SHI, Wenbo REN, Zekun YAO, Naichang YUAN. Intelligent optimization methods of phase-modulation waveform [J]. Journal of Systems Engineering and Electronics, 2022, 33(4): 916-923.|
|||Zihang DING, Junwei XIE, Zhengjie LI. Adaptive transmit beamspace optimization design based on RD-log-FDA radar [J]. Journal of Systems Engineering and Electronics, 2022, 33(1): 91-96.|
|||Shiyun LI, Sheng ZHONG, Zhi PEI, Wenchao YI, Yong CHEN, Cheng WANG, Wenzhu ZHANG. Multi-objective reconfigurable production line scheduling for smart home appliances [J]. Journal of Systems Engineering and Electronics, 2021, 32(2): 297-317.|
|||Yuxiao KANG, Shuhua MAO, Yonghong ZHANG, Huimin ZHU. Fractional derivative multivariable grey model for nonstationary sequence and its application [J]. Journal of Systems Engineering and Electronics, 2020, 31(5): 1009-1018.|
|||Hongzhi LI, Yong WANG. Particle swarm optimization for rigid body reconstruction after micro-Doppler removal in radar analysis [J]. Journal of Systems Engineering and Electronics, 2020, 31(3): 488-499.|
|||Haowei ZHANG, Junwei XIE, Jiaang GE, Zhaojian ZHANG, Wenlong LU. Finite sensor selection algorithm in distributed MIMO radar for joint target tracking and detection [J]. Journal of Systems Engineering and Electronics, 2020, 31(2): 290-302.|
|||Xu ZHENG, Yejun GAO, Wuxing JING, Yongsheng WANG. Multidisciplinary integrated design of long-range ballistic missile using PSO algorithm [J]. Journal of Systems Engineering and Electronics, 2020, 31(2): 335-349.|
|||Zilong Cheng, Li Fan, and Yulin Zhang. Multi-agent decision support system for missile defense based on improved PSO algorithm [J]. Systems Engineering and Electronics, 2017, 28(3): 514-525.|
|||Yongjian Yang, Xiaoguang Fan, Zhenfu Zhuo, Shengda Wang, Jianguo Nan, and Wenkui Chu. Improved particle swarm optimization based on particles’ explorative capability enhancement [J]. Systems Engineering and Electronics, 2016, 27(4): 900-.|
|||Lu Wang, Qinghua Xing, and Yifan Mao. Reentry trajectory rapid optimization for hypersonic vehicle satisfying waypoint and no-fly zone constraints [J]. Systems Engineering and Electronics, 2015, 26(6): 1277-1290.|
|||Huicheng Hao, Wei Jiang, and Yijun Li. Improved algorithms to plan missions for agile earth observation satellites [J]. Journal of Systems Engineering and Electronics, 2014, 25(5): 811-821.|
|||Jianjun Qi, Bo Guo, Hongtao Lei, and Tao Zhang. Solving resource availability cost problem in project scheduling by pseudo particle swarm optimization [J]. Journal of Systems Engineering and Electronics, 2014, 25(1): 69-76.|
|||Feng Pan, Xiaoting Li, Ting Long, Xiaohui Hu, Tingting Ren, and Junping Du. Novel magnetic field computation model in pattern classification [J]. Journal of Systems Engineering and Electronics, 2013, 24(5): 862-869.|