| GA解决多参数超大解空间优化问题的启发式搜索方法 |
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| 引用本文： | 王玉兰,沈越江,杨绍国.GA解决多参数超大解空间优化问题的启发式搜索方法[J].物探化探计算技术,2005,27(2):115-118. |
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| 作者姓名： | 王玉兰 沈越江 杨绍国 |
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| 作者单位： | 1. 成都理工大学,数学地质研究所,成都,610059
2. 西南石油地质局研究院,成都,610081 |
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| 摘 要： | 遗传算法(GA)作为一种有效的全局寻优算法,由于其计算原理简单、搜索能力强、对搜索空间要求低等特点,在许多优化问题中得到了广泛地应用。这里讨论了遗传算法(GA)对多参数超大解空间优化问题的求解方法,重点探讨了提高GA搜索速度的方法,给出了几种启发式搜索策略,并应用于地震波反演这个典型的多参数超大解空间优化问题中,有效地提高了GA的搜索能力,加快了收敛速度。
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| 关 键 词： | 遗传算法 多参数解空间 启发式搜索 地震波反演 |
| 文章编号： | 1001-1749(2005)02-0115-04 |
| 修稿时间： | 2004年6月15日 |
THE HEURISTIC SEARCHING METHODS ON SOLVING OPTIMAL PROBLEM OF MULTI-PARAMETER AND HUGE SOLUTION USING GA |
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| WANG Yu-lan,SHEN Yue-jiang,YANG Shao-guo.THE HEURISTIC SEARCHING METHODS ON SOLVING OPTIMAL PROBLEM OF MULTI-PARAMETER AND HUGE SOLUTION USING GA[J].Computing Techniques For Geophysical and Geochemical Exploration,2005,27(2):115-118. |
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| Authors: | WANG Yu-lan SHEN Yue-jiang YANG Shao-guo |
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| Institution: | WANG Yu-lan~1,SHEN Yue-jiang~2,YANG Shao-guo~1 |
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| Abstract: | For the easy understanding in principles and few requirement for searching space, genetic algorithm (GA), as a searching optimal solution algorithm in whole solution space, has been widely applied to many fields. In this paper, we discuss the algorithm of GA in multi-parameter and huge solution space with emphasizing on the improvement of the searching speed of GA. Some heuristic searching methods have been studied and illustrated with a seismic data inversion, which is a typical problem of multi-parameter and huge solution space. The result shows that the searching speed is improved greatly. |
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| Keywords: | genetic algorithm multi-parameters space heuristic searching methods seismic data inversion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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