| 实数遗传算子的作用与改进 |
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| 引用本文： | 石玉,于盛林,朱大奇. 实数遗传算子的作用与改进[J]. 太原理工大学学报, 2002, 33(3): 341-344 |
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| 作者姓名： | 石玉 于盛林 朱大奇 |
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| 作者单位： | 南京航空航天大学自动化学院 |
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| 摘 要： | 从解空间的角度简单分析了实数遗传算子的作用；为更好地发挥变异开拓解空间的作用，设计了非重复一致变异方法，并从释放数值空间的角度提出了一种自适应群体置换策略以提高算法的搜索效率，各种改进方法通过对测试函数的寻优进行验证。
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| 关 键 词： | 遗传算法 交叉 变异 实数遗传算子 自适应群体置换 解空间 函数优化 |
| 文章编号： | 1007-9432(2002)03-0341-04 |
| 修稿时间： | 2001-10-15 |
Study on the Function and Improvement of Real-Coded Genetic Operators |
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| Shi Yu,Yu Shenglin,Zhu Daqi. Study on the Function and Improvement of Real-Coded Genetic Operators[J]. Journal of Taiyuan University of Technology, 2002, 33(3): 341-344 |
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| Authors: | Shi Yu Yu Shenglin Zhu Daqi |
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| Abstract: | The operators of real coded genetic algorithms (GAs) are analyzed in the perspective of solution space. Numerical crossover should be the basic crossover method in real coded GAs and an improved uniform mutation is designed. Since a real coded individual contains a large numerical space, an adaptive population replacement strategy is put forward to release the numerical space and improve the efficiency of the algorithm. Some landmark functions are used to testify the effects of the improved methods. |
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| Keywords: | genetic algorithm crossover mutation real coded genetic operator adaptive population replacement |
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