| 利用遗传算法求一类非线性规划的最优解 |
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| 引用本文： | 彭卓华.利用遗传算法求一类非线性规划的最优解[J].数学理论与应用,2002,22(3):92-94. |
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| 作者姓名： | 彭卓华 |
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| 作者单位： | 中南大学数学科学与计算技术学院，长沙410083 |
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| 摘 要： | 针对一类非线性规则问题（Nonlinear Programming Problem)，采用遗传算法思想设计求解算法，实例表明，该遗传算法具有较高的计算效率。
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| 关 键 词： | 遗传算法 非线性规划 最优解 随机搜索 概率 |
Applying genetic algorithms to seeking the optimum solution of a kind of nonlinear programming problem |
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| Peng Zhuohua.Applying genetic algorithms to seeking the optimum solution of a kind of nonlinear programming problem[J].Mathematical Theory and Applications,2002,22(3):92-94. |
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| Authors: | Peng Zhuohua |
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| Institution: | Mathematics science and computer technology academy of Centre South University |
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| Abstract: | A algorithms is devised for sloving nonlinear programming problem by genetic algorithms. Examples illustrate the high efficiency of the algorithms. |
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| Keywords: | nonlinear programming genetic algorithms random search probability |
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