改进型实数编码遗传算法在内弹道优化中的应用
he Application of Improved Real-Coded Genetic Algorithm to Interior Ballistic Optimization
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。对基本遗传算法的编码方式及遗传操作进行改进,引入最优保留策略,使其更加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口径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。
o realize optimization design of charging structure of interior ballistics, the improved genetic algorithm (IGA) was applied to the calculation model. The simple genetic algorithm (SGA) was improved by using real-code, ameliorating genetic operations and applying the best-keeping strategy, which was much more suitable for the non-linear mathematic model. The optimization design model of charge structure of representational antiaircraft gun was built. The optimization scheme was obtained by simulation, which was compared separately with that obtained by mode search algorithm and by SGA. The result shows that it is effective and feasible to optimize interior ballistics.
李克婧、张小兵
火炮工程基础科学弹药、引信、火工品
实数编码内弹道改进遗传算法优化设计
real-codedinterior ballisticimproved genetic algorithmoptimization design
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[EB/OL].(2009-12-23)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200912-814.点此复制
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