Constructing Optimization of Moraine Dam Based on Accelerating Genetic Algorithm

涂扬举; 马光文; 陶春华; 过夏明; 唐明

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Constructing Optimization of Moraine Dam Based on Accelerating Genetic Algorithm

更新时间：2026-01-22

- Constructing Optimization of Moraine Dam Based on Accelerating Genetic Algorithm
- Issue 1, Pages: 26-28(2007)
- 作者机构：
  
  1. 四川大学水电学院,四川,成都,610065
  2. 国电大渡河流域水电开发有限公司
  3. ,四川,成都,610016
- 作者简介：
- 基金信息：
- DOI：
  CLC： TV541
- Published：2007
- 稿件说明：
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[1]涂扬举,马光文,陶春华,过夏明,唐明.基于加速遗传算法的堆石坝施工优化[J].水力发电,2007(01):26-28.

涂扬举, 马光文, 陶春华, et al. Constructing Optimization of Moraine Dam Based on Accelerating Genetic Algorithm[J]. 2007, (1): 26-28.
[1]涂扬举,马光文,陶春华,过夏明,唐明.基于加速遗传算法的堆石坝施工优化[J].水力发电,2007(01):26-28. DOI：

涂扬举, 马光文, 陶春华, et al. Constructing Optimization of Moraine Dam Based on Accelerating Genetic Algorithm[J]. 2007, (1): 26-28. DOI：

摘要

为实现水电站施工资源优化配置

提高水电站建设的经济效益

提出了堆石坝施工优化模型

模型中考虑了日上升高程约束和相邻区的高差约束

并用加速遗传算法实现了优化计算。对国内某一在建堆石坝的计算结果表明

该方法是可行的

对大坝建设期间的资源配置和强度计划制定有一定指导意义。

Abstract

This paper presents the construction optimization model of rockfill dam

in order to optimize the construction resource configuration and increase the economic benefit of hydropower station construction.In the model

some constraints

such as the maximum raising height of a day and the difference between neighboring parts

are taken into account.What’s more

the accelerating genetic algorithm（AGA） is used for the problem.A calculating example is given

and the results showed the method is feasible and useful for dispatching resource and establishing intensity plan during the construction of dam.

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references

加速遗传算法在边坡稳定分析中的应用 [J]. 陈水荣,凌春海. 西部探矿工程 . 2006(01)

实码退火遗传算法在厂内经济运行中的应用 [J]. 陶春华,马光文,涂扬举,徐刚,左幸. 四川大学学报(工程科学版) . 2005(06)

土石方动态调配模型与可视化研究 [J]. 胡程顺,钟登华,张静,洪文,李明超. 中国工程科学 . 2003(12)

混凝土面板堆石坝监测概述 [J]. 阎生存,陈红林. 水电站设计 . 2002(01)

小浪底大坝填筑机械化施工 [J]. 田晓兰,王碧. 西北水电 . 2001(01)

遗传算法及其在水科学中的应用[M]. 四川大学出版社 , 金菊良,丁晶著, 2000

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