| 基因表达式编程算法研究 |
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| 引用本文： | 王光琼,何颖,任登波. 基因表达式编程算法研究[J]. 电脑学习, 2010, 0(3): 80-83 |
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| 作者姓名： | 王光琼 何颖 任登波 |
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| 作者单位： | 1. 四川文理学院,四川,达州,635000
2. 中国水电顾问集团成都勘测设计研究院,四川,成都,610072 |
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| 摘 要： | 基因表达式编程算法GEP作为一种较新的遗传算法,虽然在领域内还有很多尚未最终解决的问题,但其在公式挖掘,符号回归等方面所表现出来的优良特性,已越来越受到学界关注。在对于遵循一定变化规律的问题的公式发现方面,体现出较以往遗传算法更高的效率,并在诸多领域有很好的应用前景。
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| 关 键 词： | GEP 遗传算法 公式挖掘 遗传 变异 |
Research on Gene Expression Programming Algorithm |
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| Wang Guangqiong,He Ying,Ren Dengbo. Research on Gene Expression Programming Algorithm[J]. Computer Study, 2010, 0(3): 80-83 |
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| Authors: | Wang Guangqiong He Ying Ren Dengbo |
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| Affiliation: | Wang Guangqiong He Ying Ren Dengbo |
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| Abstract: | GEP,a new kind of genetic algorithm,has shown very excenllent characters in the aspects of formula mining,symbolic regression and so on,although there are many unsolved problems about it.And this superiority brings it more and more attention from the academia.Facing the formula mining which follows some variation rule,GEP generally displays more efficiently than previous algorithm,and would have good application prospect in many fields. |
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| Keywords: | GEP |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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