基于加速遗传算法的堆石坝施工优化  

Constructing Optimization of Moraine Dam Based on Accelerating Genetic Algorithm

作　　者：涂扬举[1] 马光文[1] 陶春华[1] 过夏明[1] 唐明[1] 

机构地区：[1]四川大学水电学院

出　　处：《水力发电》2007年第1期26-28,共3页Water Power

基　　金：国家自然科学基金重点资助项目(50539140)

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。This paper presents the construction optimization model of rockfill darn, 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 showed the methd is feasible and useful for dispatching resource and establishing intensity plan during the construction of dam.

关 键 词：堆石坝 施工优化 加速遗传算法 

分 类 号：TV511[水利工程—水利水电工程] TV641