| 基于自适应遗传算法的重力坝体型优化设计 |
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| 引用本文： | 赵基花,李守义,付永锋,段永涛. 基于自适应遗传算法的重力坝体型优化设计[J]. 红水河, 2004, 23(3): 44-46 |
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| 作者姓名： | 赵基花 李守义 付永锋 段永涛 |
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| 作者单位： | 西安理工大学水电学院,陕西,西安,710048;西安理工大学水电学院,陕西,西安,710048;西安理工大学水电学院,陕西,西安,710048;西安理工大学水电学院,陕西,西安,710048 |
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| 摘 要： | 针对简单遗传算法中交叉概率与变异概率随进化过程恒定不变的缺点，提出了自适应遗传算法并将其用于重力坝体型优化设计。实例计算并与复行法优化方法相比，该算法不仅能得到更好的优化结果，而且保持了较快的收敛速度。
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| 关 键 词： | 重力坝 体型优化 自适应 遗传算法 |
| 文章编号： | 1001-408X(2004)03-0044-03 |
| 修稿时间： | 2003-09-15 |
Optimal Design for Gravity Dam Section Based on Adaptive Genetic Algorithm |
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| ZHAO Ji-hua,LI Shou-yi,FU Yong-feng,DUAN Yong-tao. Optimal Design for Gravity Dam Section Based on Adaptive Genetic Algorithm[J]. Hongshui River, 2004, 23(3): 44-46 |
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| Authors: | ZHAO Ji-hua LI Shou-yi FU Yong-feng DUAN Yong-tao |
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| Abstract: | Adaptive genetic algorithm (GA) is recommended for optimal design of gravity dam section to overcome the defects of constant crossover probability and mutation probability in the evolution process in simple GA. The optimal results are compared with the solutions from complex method in an example, and the outcome indicates that the optimal results are better and a faster convergence velocity is obtained by GA. |
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| Keywords: | gravity dam section optimization adaptive genetic algorithm |
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