用Powell方法求解不可微函数  

Hybrid Approach for Global Optima of Indifferentiable Nonlinear Function

作　　者：郭先定[1] 李敏[2] 

机构地区：[1]乐山师范学院数学系,四川乐山614004 [2]乐山师范学院物电系,四川乐山614004

出　　处：《江西师范大学学报（自然科学版）》2007年第4期431-434,共4页Journal of Jiangxi Normal University(Natural Science Edition)

基　　金：四川省教育厅资助科研项目(2006B073)

摘　　要：在浮点编码遗传算法中加入Powell方法,构成适于不可微函数全局优化的混合遗传算法.混合算法改善了遗传算法的局部搜索能力,显著提高了遗传算法求得全局解的概率.由于只利用函数值信息,混合算法是一种求解可微和不可微函数全局优化问题的通用方法.A hybrid computational intellective algorithm for locating the global optima of indifferentiable nonlinear function was put forward by setting the powell algorithm in real-code genetic algorithm. The hybrid approach improved the local searching ability of the genetic algorithm and promoted the probability for the global optima greatly. Because only the objective values are used, the hybrid approach is a generalized genetic algorithm for global optima of differentiable and indifferentiable nonlinear functions.

关 键 词：全局最优 混合算法 遗传算法 powell方法 

分 类 号：O24[理学—计算数学]