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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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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
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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
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