Open Access
Issue
JNWPU
Volume 37, Number 5, October 2019
Page(s) 992 - 999
DOI https://doi.org/10.1051/jnwpu/20193750992
Published online 14 January 2020
  1. GuErshun. Surface to Air Anti-Radiation Missile Analysis and Research[J]. Surface to Air Weapon, 2010, 1: 19–22 [Article] [Google Scholar]
  2. Liu Yili. Analysis of Surface to Air Anti-Radiation Missile System's Effect[J]. Recent Manufacture Technology and Equipment, 2016, (3): 152–154 [Article] [Google Scholar]
  3. Ji Junliang, Duan Libo, Tian Hailin. Research on Surface to Air Anti-Radiation Hybrid Group Force Deploy[J]. CruiseMissile, 2017, (1): 49–54 [Article] [Google Scholar]
  4. Hkh K J H. Genetic Quantum Algorithm and its Application to Combinatorial Optimization Problem[C]//Proc of IEEE Congress on Evolutionary Computation, 2000: 1354–1360 [Google Scholar]
  5. Xia Hui. Review of the USA Navy Carrier-Borne EW Aircraft[J]. Electronic Information Warfare Technology, 2014, (6): 19–22 [Article] [Google Scholar]
  6. Chen Hongyou, Guo Youquan, Wang Yinglong. Air Force Surface to Air Missile Army Tactics[M]. Beijing, PLA Publishing House, 2015 [Google Scholar]
  7. Zhang Yongshun, Tong Ningning, Zhao Guoqing. Radar Electronic Warefare Theory[M]. Beijing, National Defence Industrial Engineering Publishing House, 2015 [Google Scholar]
  8. Tao Huan, Zhou Xiaoping, Sun Yongquan, et al. An Evaluation Method of Electronic Jamming Signal Environment Based on SJR[J]. Journal of Terahertz Science and Electronic Information Technology, 2017, (1): 59–64 [Article] [Google Scholar]
  9. Lu Yingqi, Li Ning, Chen Gang. Covering Angle Analysis of Anti-Missile Deployment[J]. Fire & Command and Control, 2015, (7): 85–88 [Article] [Google Scholar]
  10. Kou Zhanlin. Shoot Theory and Application of Surface to Air Missile[M]. Xi'an, Air Force Engineering University, 2014 [Google Scholar]
  11. Bai Xiaobao. Reaearch on Quantum Genetic Algorithm[J]. Exploitation and Applitation of Computers, 2013, (1): 9–15 [Article] [Google Scholar]
  12. Jiang Linli. Summarization of Quantum Genetic Algorithm Research Actuality[J]. Journal of Guangxi Science & Technology Normal University, 2016, (2): 130–133 [Article] [Google Scholar]
  13. Liang Changyong, Bai Hua, Cai Meiju, et al. Advances in Quantum Genetic Algorithm[J]. Application Research of Computers, 2012, (7): 2401–2405 [Article] [Google Scholar]
  14. Yang Ying. Analysis of Logistics & Manufacture Intergrowth Stage based on Quantum Genetic Algrithm[J]. Journal of Northwestern Polytechnical University, 2017, 35(2): 69–73 [Article] [Article] [Google Scholar]
  15. Yu Wangle, Wang Jiaquan. Application Research on Complex Water Quality Prediction with Improved QGA-BP Model[J]. PR & AI, 2012, (4): 705–708 [Article] [Google Scholar]
  16. Ma Yongjie, Yun Wenxin. Research Progress of Genetic Algorithm[J]. Application Research of Computers, 2012, (4): 1201–1206 [Article] [Google Scholar]
  17. Fang W, Sun J, Chen H, et al. A Decentralized Quantum-Inspired Particle Swarm Optimization Algorithm with Cellular Structured Population[J]. Information Sciences, 2016, 330: 19–48 [Article] [CrossRef] [Google Scholar]
  18. Liu J, Wang H, Sun Y, et al. Adaptive Niche Quantum-Inspired Immune Clonal Algorithm[J]. Natural Computing, 2016, 15(2): 297–305 [Article] [CrossRef] [Google Scholar]
  19. Konar D, Bhattacharyya S, Sharma K, et al. An Improved Hybrid Quantum-Inspired Genetic Algorithm(HQIGA) for Scheduling of Real-Time Task in Multiprocessor System[J]. Applied Soft Computing, 2017, 53: 296–307 [Article] [CrossRef] [Google Scholar]

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