| 混沌遗传算法及其在函数优化中的应用 |
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| 引用本文： | 周晓,胡以华,陈修桥,赵海燕.混沌遗传算法及其在函数优化中的应用[J].计算机与数字工程,2005,33(7):68-70. |
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| 作者姓名： | 周晓 胡以华 陈修桥 赵海燕 |
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| 作者单位： | 1. 解放军电子工程学院,合肥,230037
2. 武汉军械士官学校,武汉,430075 |
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| 摘 要： | 将混沌优化和遗传算法结合起来，提出了混沌遗传算法(CGA，Chaos Genetic Algorithm)，并将其应用于函数优化问题的求解。通过在种群进化的不同阶段引入混沌优化操作，大大提升了遗传算法的整体性能。实验结果表明，与标准遗传算法(SGA)相比，该算法能更有效地求得全局最优解，具有更快的收敛速度。
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| 关 键 词： | 混沌 遗传算法 函数优化 |
| 修稿时间： | 2004年12月2日 |
Chaos Genetic Algorithm and its Application in Function Optimization |
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| Zhou Xiao,Hu Yihua,Chen Xiuqiao,Zhao Haiyan.Chaos Genetic Algorithm and its Application in Function Optimization[J].Computer and Digital Engineering,2005,33(7):68-70. |
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| Authors: | Zhou Xiao Hu Yihua Chen Xiuqiao Zhao Haiyan |
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| Affiliation: | Zhou Xiao 1) Hu Yihua 2) Chen Xiuqiao 1) Zhao Haiyan 2) |
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| Abstract: | By combining chaos optimization and genetic algorithm, the Chaos Genetic Algorithm (CGA) is presented, which is applied in solving the function optimization problem. The chaos optimization is introduced in different phase of population evolution, which improves the total performance of genetic algorithm greatly. The experiment results show that CGA can get global optimum solution more efficiently and has higher convergence rate compared with Standard Genetic Algorithm (SGA). |
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| Keywords: | chaos genetic algorithm function optimization |
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