| 一种新的改进遗传算法及其性能分析 |
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| 引用本文： | 徐璐,涂承宇.一种新的改进遗传算法及其性能分析[J].电子学报,2001,29(7):902-904. |
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| 作者姓名： | 徐璐 涂承宇 |
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| 作者单位： | 北京工业大学电子工程系,北京 100022 |
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| 摘 要： | 本文提出了一种改进遗传算法(IGA),通过加入混合选择、小范围竞争择优的交叉变异操作,以及过滤相似个体,并动态补充新个体的操作,提高全局搜索性能和收敛速度.测试试验表明了算法性能优于许多现有算法.
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| 关 键 词： | 遗传算法 收敛速度 过滤 竞争择优 |
| 文章编号： | 0372-2112 (2001) 07-0902-03 |
| 收稿时间： | 2000-04-05 |
A New Improved Genetic Algorithm and Its Property Analysis |
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| XU lu,TU Cheng-yu.A New Improved Genetic Algorithm and Its Property Analysis[J].Acta Electronica Sinica,2001,29(7):902-904. |
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| Authors: | XU lu TU Cheng-yu |
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| Affiliation: | Dept. of Electrical Engineering, Beijing Polytechnic University, Beijing 100022,China |
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| Abstract: | IGA (Improved Genetic Algorithm), a new genetic algorithm, is proposed in this paper. With five additional steps which are hybrid selection operator,competition among brothers , greedy operation, filter operation, and dynamic supply new individuals, IGA can improve global convergence property and convergence speed. The experimental results show IGA has great advantage over many existing genetic algorithms. |
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| Keywords: | genetic algorithm convergence speed filter operation competition among brothers |
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