| 一种基于方差的自适应遗传算法 |
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| 引用本文： | 江鹰.一种基于方差的自适应遗传算法[J].安庆师范学院学报(自然科学版),2006,12(3):78-80. |
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| 作者姓名： | 江鹰 |
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| 作者单位： | 池州师范专科学校,计算机中心,安徽,池州,247000 |
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| 摘 要： | 为了解决遗传算法的收敛速度和全局收敛性之间的矛盾,本文提出了一种改进的自适应遗传算法Adaptive GA Based on Square Error(SEAGA)。在原自适应遗传算法Adaptive GA(AGA)的基础上提出用适应度方差函数来监控种群的进化情况并据此自动调整算法的交叉率和变异率的思想。通过用此算法对测试函数进行计算,并与SGA,AGA的结果进行比较,可以看出本算法在收敛速度和全局搜索性上优于其它同类算法。
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| 关 键 词： | 自适应遗传算法 方差 收敛 适应度函数 |
| 文章编号： | 1007-4260（2006）03-0078-03 |
| 收稿时间： | 2006-04-12 |
| 修稿时间： | 2006-04-12 |
An Adaptive Genetic Algorithm Based on Square Error |
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| JIANG Ying.An Adaptive Genetic Algorithm Based on Square Error[J].Journal of Anqing Teachers College(Natural Science Edition),2006,12(3):78-80. |
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| Authors: | JIANG Ying |
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| Affiliation: | Computer Center of Chizhou Teachers College, Chizhou 247000.China |
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| Abstract: | An improved adaptive genetic algorithm based on square error-SEAGA is proposed to solve the contradiction between the speed of convergence and the ability of global convergence in genetic algorithms.This algorithm uses square error function to monitor the evolvement of the population and tune the probability of crossover and mutation automatically.Compared with the Simple GA and the Adaptive CA,the SEAGA is better in the speed of convergence and the ability of global search. |
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| Keywords: | self-adaptive genetic algorithm square error convergence fitness function |
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