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改进型实数编码遗传算法在内弹道优化中的应用
引用本文:李克婧,张小兵.改进型实数编码遗传算法在内弹道优化中的应用[J].弹道学报,2009,21(3).
作者姓名:李克婧  张小兵
作者单位:南京理工大学,动力工程学院,南京,210094
基金项目:教育部优秀人才支持计划资助项目,高校研究生学科点基金项目,江苏省自然科学基金项目 
摘    要:为实现内弹道装药结构的优化设计方案,提出将改进型遗传算法应用于内弹道优化数学模型.在基本遗传算法的基础上采用实数编码方式并对遗传操作进行改进,引入最优保留策略,使其更适合内弹道优化模型的复杂非线性.建立了具有代表性的某高炮内弹道装药优化设计模型,通过计算机仿真得到优化方案,并与采用模式搜索法和基本遗传算法得到的优化方案进行对比,结果表明,采用改进遗传算法进行内弹道优化是有效可行的.

关 键 词:实数编码  内弹道  遗传算法  优化设计

Application of Improved Real-coded Genetic Algorithm in Interior Ballistic Optimization
LI Ke-jing,ZHANG Xiao-bing.Application of Improved Real-coded Genetic Algorithm in Interior Ballistic Optimization[J].Journal of Ballistics,2009,21(3).
Authors:LI Ke-jing  ZHANG Xiao-bing
Affiliation:LI Ke-jing,ZHANG Xiao-bing(School of Power Engineering,NUST,Nanjing 210094,China)
Abstract:To realize optimization design of charge structure of interior ballistics,the improved genetic algorithm(IGA) was applied to the calculation model.The simple GA(SGA) which was much more suitable for the non-linear mathematic model was improved by using real-code,ameliorating genetic operations and the best-keeping strategy was introduced at the same time.The optimization design model of charge structure of representative antiaircraft gun was built.The optimization scheme was obtained through simulation,whic...
Keywords:real-coded  interior ballistics  genetic algorithm  optimization design  
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