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《Acta Armamentarii》 2007-09
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Application of Hybrid Optimization Strategy Algorithm Based on Tabu Search and Particle Swarm Optimization Algorithms for Weapon-target Assignment Problems

DING Zhu1,2,MA Da-wei1,YU Cun-gui1,ZHANG Xue-feng3 (1.School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China;2.Unit 93704 of PLA,Beijing 101149,China;3.School of Computer Science,Anhui University of Techonology,Maanshan 243002,Anhui,China)  
The weapon-target assignment(WTA) is very important to ground air-defense command systems.The math model of WTA was established.A novel hybrid optimization strategy(HOS) algorithm,based on particle swarm optimization(PSO) and tabu search(TS) algorithms was proposed to solve WTA problems.The simulation result shows that,compared with other algorithms,the HOS algorithm is excellent in the optimization performance and time performance in WTA,especially,in solving large-scale problems.
【CateGory Index】: TP301.6
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【References】
Chinese Journal Full-text Database 1 Hits
1 DENG Ci-yun1,CHEN Huan-wen1,2,LIU Ze-wen2,WAN Jie1(1.School of Computer and Communications,Changsha University of Science and Technology,Changsha 410076;2.Hunan College of Information,Changsha 410200,China);A Hybrid Adaptive Mutation Particle Swarm Optimization Algorithm for Job-Shop Scheduling[J];Computer Engineering & Science;2010-01
【Citations】
Chinese Journal Full-text Database 2 Hits
1 Li Dawei(Anshan Institute of Iron and Steel Technology,Anshan 114002)Wang Li(Anshan Normal College,Anshan 114005)Wang Mengguang(Northeastern University,Shenyang 110006);GENETIC ALGORITHM AND TABU SEARCH:A HYBRID STRATEGY[J];JOURNAL OF SYSTEMS ENGINEERING;1998-03
2 Nie Cheng Department of Command Engineering, Air Force Missile Institute, Xi'an 710021;A Mathematical Model of Target Assignment[J];Systems Engineering and Electronics;1997-08
【Co-references】
Chinese Journal Full-text Database 4 Hits
1 L Zhen-su,HOU Zhi-rong (School of Information Science and Engineering,Lanzhou University,Lanzhou,Gansu 730000,China);Particle Swarm Optimization with Adaptive Mutation[J];Acta Electronica Sinica;2004-03
2 CHANG Gui-juan1,2,ZHANG Ji-hui1 1.Complexity Science Institute of Qingdao University,Qingdao,Shandong 266071,China 2.The College of Science of LaiYang Agricultural University,Qingdao,Shandong 266109,China;Dynamic evaluated immune Particle Swarm Optimization for Job-shop scheduling[J];Computer Engineering and Applications;2007-24
3 PENG Chuan-yong,GAO Liang,SHAO Xin-yu,ZHOU Chi(Sch.of Mechanical Sci.& Eng.,Huazhong Univ.of S & T,Wuhan 430074,China);General particle swarm optimization algorithm for job-shop scheduling problem[J];Computer Integrated Manufacturing Systems;2006-06
4 WANG Wan-liang~1, WU Qi-di~2, SONG Yi~1 WT(1. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014; 2. College of Electron and Information Engineering, Tongji University, Shanghai 200092);Modified Adaptive Genetic Algorithms for Solving Job-shop Scheduling Problems[J];Systems Engineering-theory & Practice;2004-02
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