基于遗传算法的火炮总体参数动力学优化  

Dynamic Overall Parameter Optimization of Howitzer with Genetic Algorithm

作　　者：蔡文勇[1] 马福球[2] 杨国来[1] 

机构地区：[1]南京理工大学机械工程学院,江苏南京210094 [2]西北机电工程研究所,陕西咸阳712099

出　　处：《兵工学报》2006年第6期974-977,共4页Acta Armamentarii

摘　　要：为提高火炮射击精度,寻找最佳的总体参数,本文利用小生境遗传算法,实现了与ADAMS软件联合进行火炮总体参数动力学优化设计。结合某火炮,对上述方法进行了计算,计算结果表明:优化后的炮口扰动值比优化前明显降低;小生境遗传算法一次可以搜索出多个有效方案,给火炮总体布置带来更大灵活性。In order to improve precision of the howitzer and look for the optimal overall parameter, dynamic optimization of howitzer was carried through by combining ADAMS software and niche genetic algorithm. The simulated results for a certain howitzer show that the muzzle disturbance can obviously be reduced after optimized; niche genetic algorithm can search out several effective schemes to favour the flexibility of general layout for the howitzer.

关 键 词：机械学 火炮 总体参数 动力学优化 ADAMS软件 小生境遗传算法 

分 类 号：TJ30[兵器科学与技术—火炮、自动武器与弹药工程]