| 自适应遗传算法的改进与应用 |
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| 引用本文： | 史明霞,陶林波,沈建京.自适应遗传算法的改进与应用[J].微计算机应用,2006,27(4):405-408. |
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| 作者姓名： | 史明霞 陶林波 沈建京 |
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| 作者单位： | 1. 信息工程大学理学院电子信息工程系,郑州,450007;河南省轻工业职工大学,郑州,450002
2. 信息工程大学理学院电子信息工程系,郑州,450007 |
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| 摘 要： | 针对遗传算法易出现早熟现象，通过对标准遗传算法和自适应遗传算法的分析研究，本文对自适应遗传算法进行了改进。即在保留以往自适应遗传算法优点的同时，设计了与种群个体分布及种群规模的波动情况相关的自适应遗传算子。实验结果表明：该算法不易陷入局部极值，收敛速度快。
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| 关 键 词： | 遗传算法 早熟现象 自适应遗传算子 改进的自适应遗传算法 中间区域 |
| 收稿时间： | 2006-03-29 |
| 修稿时间： | 2006-03-292006-05-15 |
Improvement and Application of a Self- Adaptive Genetic Algorithm |
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| SHI Mingxia,TAO Linbo,SHEN Jianjing.Improvement and Application of a Self- Adaptive Genetic Algorithm[J].Microcomputer Applications,2006,27(4):405-408. |
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| Authors: | SHI Mingxia TAO Linbo SHEN Jianjing |
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| Affiliation: | 1.Information Engineering University, Zhengzhou, 450007, China;2. Henan Light Industry Training College, Zhengzhou, 450002, China |
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| Abstract: | An improved adaptive genetic algorithm was presented in this paper ,for standard genetic algorithm brings easily premature convergence.We desigen a new self-adaptive genetic operator concerning population size and population distribution basing on adaptive genetic algorithm. It has increased the algorithm`s capacity of global convergence. Experimental results demonstrate that it does not easily get stuck at a local optimum,and that it is fast in convergence. |
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| Keywords: | genetic algorithm premature convergence self-adaptive genetic operator improved adaptive genetic algorithm middle area |
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