| 一种遗传算法适应度函数的改进方法 |
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| 引用本文： | 张思才,张方晓. 一种遗传算法适应度函数的改进方法[J]. 计算机应用与软件, 2006, 23(2): 108-110 |
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| 作者姓名： | 张思才 张方晓 |
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| 作者单位： | 中国工程物理研究院结构力学研究所,四川,绵阳,621900;中国工程物理研究院结构力学研究所,四川,绵阳,621900 |
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| 摘 要： | 针对简单遗传算法中线性适应度函数随进化过程恒定不变的缺点。提出一种可随进化代数动态调整的非线性适应度函数。以典型的遗传算法测试函数为算例，分别以Goldberg提出的线性拉伸方法与文中提出的改进遗传算法进行计算。计算结果表明文中提出的动态适应度函数对简单遗传算法的改进有较明显的效果。
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| 关 键 词： | 遗传算法 适应度函数 优化计算 |
| 收稿时间： | 2004-02-05 |
| 修稿时间： | 2004-02-05 |
A MODIFIED METHOD TO FITNESS FUNCTION OF GENETIC ALGORITHMS |
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| Zhang Sicai,Zhang Fangxiao. A MODIFIED METHOD TO FITNESS FUNCTION OF GENETIC ALGORITHMS[J]. Computer Applications and Software, 2006, 23(2): 108-110 |
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| Authors: | Zhang Sicai Zhang Fangxiao |
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| Affiliation: | Institute of Structural Mechanics, China Academy of Engincering physics, Mianyang Sichuan 621900, China |
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| Abstract: | Aiming at the shortcoming of the simple genetic algorithm(GA) with the linear fitness function unfit for evolutionary process,a modified genetic algorithm with the nonlinear fitness function,which can adapt to evolutionary process of algorithm is presented in this dissertation.GA with linear scaling method proposed by Goldberg~([1]) and modified GA in this paper,respectively,calculates the genetic algorithm's testing functions.The comparison between the results obtained by above-mentioned algorithms indicates that the nonlinear adaptive fitness function is effective for improving the simple genetic algorithm's performance. |
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| Keywords: | Genetic algorithm Fitness function Optimization computation |
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