| 用Powell方法求解不可微函数 |
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| 引用本文： | 郭先定,李敏.用Powell方法求解不可微函数[J].江西师范大学学报(自然科学版),2007,31(4):431-434. |
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| 作者姓名： | 郭先定 李敏 |
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| 作者单位： | 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 |
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| 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.
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| 关 键 词： | 全局最优 混合算法 遗传算法 powell方法 |
| 文章编号： | 1000-5862（2007）04-0431-04 |
| 修稿时间： | 2007-03-29 |
Hybrid Approach for Global Optima of Indifferentiable Nonlinear Function |
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| GUO Xian-ding,LI Min.Hybrid Approach for Global Optima of Indifferentiable Nonlinear Function[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2007,31(4):431-434. |
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| Authors: | GUO Xian-ding LI Min |
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| Affiliation: | 1. Department of Mathematics, Leshan Teachers College, Leshan Sichuang 614004, China; 2. Department of Physics and Electron Communication, Leshan Teachers College, Leshan Sichuang 614004, China |
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| Abstract: | 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. |
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| Keywords: | global optima hybrid approach genetic algorithms powell algorithm |
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