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《Ordnance Industry Automation》 2008-04
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Application of Enhanced Particle Swarm Optimization Algorithm in Antiaircraft Fire Distribution

CHENG Jie,LI Yong,REN Wei(No.16 Brigade of Graduate,Air Defense Forces Command Academy,Zhengzhou 450052,China)  
The Particle Swarm Optimization(PSO)is used to solve the optimization model of air defense forces group fire distribution decision.First regard the restraining equation as fine function and join it in the original goal,turn it to a unconstrained optimization question.Supposing one group of the partial optimum dots:X1,is gotten through PSO,turn X1 to the binary code.Then,adopt a probability random in the hereditary algorithm to change some places in the binary formula,move the code,and form a new group of solutions:X2.Compare the adaptation value of X1 and X2,abandon solutions worse than X1 and keep solutions more excellent than X1.Finally,use PSO to seek optimum solutions in X2.
【CateGory Index】: E844
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