改进型实数编码遗传算法在内弹道优化中的应用  

Application of Improved Real-coded Genetic Algorithm in Interior Ballistic Optimization

作　　者：李克婧[1] 张小兵[1] 

机构地区：[1]南京理工大学动力工程学院,南京210094

出　　处：《弹道学报》2009年第3期19-22,共4页Journal of Ballistics

基　　金：教育部优秀人才支持计划资助项目(NCET040509);高校研究生学科点基金项目(20060288019);江苏省自然科学基金项目(BK2007531)

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.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, which was then compared with that obtained by mode search algorithm and by simple GA（SGA） respectively. The result shows that it is effective and feasible to optimze interior ballistics with the presented algorithm.

关 键 词：实数编码 内弹道 遗传算法 优化设计 

分 类 号：TJ012.1[兵器科学与技术—兵器发射理论与技术]