改进型遗传算法在弹丸结构优化设计中的应用  

Application of Improved Genetic Algorithm to Optimization Design of Projectile Structure

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,江苏南京210094

出　　处：《南京理工大学学报》2009年第3期339-343,共5页Journal of Nanjing University of Science and Technology

基　　金：教育部优秀人才支持计划(NCET040509);高校博士学科点基金(20060288019);江苏省自然科学基金(BK2007531)

摘　　要：为寻求一种既善于求解复杂模型又具有智能特征的优化算法进行弹丸结构优化设计,将基于实数编码方式的遗传算法与小生境最优保留策略相结合,同时对遗传操作做相应改进,并利用海明距离进行罚函数淘汰运算。采用改进后的遗传算法建立具有代表性的某榴弹弹丸结构优化设计模型,通过仿真得到优化方案。优化后的弹丸外形更有助于减小阻力,飞行时间较优化前缩短5.3%。仿真结果表明改进型的遗传算法用于模型复杂的弹丸结构优化设计是有效可行的,为实际弹丸结构设计提供了理论参考。To solve the complex models of projectile structures, an intelligent optimization method is put forward. An improved genetic operator based on real coding is used, including the niche concept and the best-keeping after operation of the genetic operators in each. Hamming distance is used to replace the worse individual of current generation by the best one of the father generation. Taking a projectile＇ s structure design for example, and comparing the optimization algorithm with the original one, the numerical simulations show that the projectile＇ s structure has better shape to reduce the drag, with the flying time shortened by 5.3% . The improved genetic algorithm is more effective in realizing the global optimization and promoting evolution efficiency, and has stronger adaptability in solving complex optimization problems.

关 键 词：遗传算法 遗传算子 弹丸 弹丸结构 优化 

分 类 号：TJ410[兵器科学与技术—火炮、自动武器与弹药工程]