针对导弹总体优化设计中存在目标函数与变量之间没有显式关系式、优化方法与优化问题之间的优化特性不确定的问题,提出采用遗传算法、模式搜索法和Pow e ll法结合的多方法协作优化方法。算例研究表明,多方法协作优化可以取得优于单个优...针对导弹总体优化设计中存在目标函数与变量之间没有显式关系式、优化方法与优化问题之间的优化特性不确定的问题,提出采用遗传算法、模式搜索法和Pow e ll法结合的多方法协作优化方法。算例研究表明,多方法协作优化可以取得优于单个优化方法的全局最优特性,是一个可行的求解优化问题最优解的全局最优优化方法,适合于求解优化目标函数性质不确定的复杂优化问题。展开更多
The application value of mathematics classification methods would be decreased because of the different result from those different classification methods been cholice.Some mathematics classification methods which wer...The application value of mathematics classification methods would be decreased because of the different result from those different classification methods been cholice.Some mathematics classification methods which were common used had been selected,such as Multivariate Weight Method、Cluster Analysis、Primary Component Analysis、Fuzzy Comprehensive Evaluate Method and Discriminate analysis between multiple groups and a integration model of mathematics classification which based on the Bayes role had been pointed out in this paper.the problem of the divergence samples attributed would be resolved by using the integration model of mathematics classification and the applied efficiency had been compared which between the different classification methods and integration model,The result by using integration had showed much more reasonable than that by using single classification method above.展开更多
文摘针对导弹总体优化设计中存在目标函数与变量之间没有显式关系式、优化方法与优化问题之间的优化特性不确定的问题,提出采用遗传算法、模式搜索法和Pow e ll法结合的多方法协作优化方法。算例研究表明,多方法协作优化可以取得优于单个优化方法的全局最优特性,是一个可行的求解优化问题最优解的全局最优优化方法,适合于求解优化目标函数性质不确定的复杂优化问题。
文摘The application value of mathematics classification methods would be decreased because of the different result from those different classification methods been cholice.Some mathematics classification methods which were common used had been selected,such as Multivariate Weight Method、Cluster Analysis、Primary Component Analysis、Fuzzy Comprehensive Evaluate Method and Discriminate analysis between multiple groups and a integration model of mathematics classification which based on the Bayes role had been pointed out in this paper.the problem of the divergence samples attributed would be resolved by using the integration model of mathematics classification and the applied efficiency had been compared which between the different classification methods and integration model,The result by using integration had showed much more reasonable than that by using single classification method above.
