高拱坝时序多属性施工方案随机智能优化方法  

Stochastic and intelligent optimization method of time-series multi-attribute construction schemes for high arch dams

作　　者：关涛[1] 陈普瑞 肖一峰 GUAN Tao;CHEN Purui;XIAO Yifeng(State Key Laboratory of Hydraulic Engineering Simulation and Safety,Tianjin University,Tianjin 300350,China)

机构地区：[1]天津大学水利工程仿真与安全国家重点实验室,天津300350

出　　处：《河海大学学报（自然科学版）》2024年第5期45-51,共7页Journal of Hohai University(Natural Sciences)

基　　金：国家自然科学基金项目(51839007,52222907)。

摘　　要：为了解决当前施工方案优化方法大多忽略各关键节点施工进度指标的随机性对施工方案优化的影响,同时属性权重确定方法难以实现对高维度多层次的多属性决策问题进行整体优化的问题,提出了基于前景随机理论和麻雀搜索算法的高拱坝时序多属性施工方案随机智能优化方法。针对高拱坝工程建设特点,基于前景随机理论建立时序多属性随机智能优化模型,提出了基于阶段发展特征的动态参考点设置方法;基于麻雀搜索算法建立最优属性权重及时间权重搜索模型,并以差异最大化思想构造适应度函数,实现模型的求解。工程实例验证结果表明该优化方法具有合理性,优化结果与前景随机占优-CRITIC方法、随机占优方法优化结果一致,且具有更好的方案区分度。In order to solve the problem that most of the current construction plan optimization methods ignore the impact of the randomness of the construction progress indicators of each key node on the construction plan optimization,and at the same time,it is difficult for the attribute weight determination method to achieve the overall optimization of high-dimensional and multi-level characteristic problems.This paper proposes a stochastic and intelligent optimization method for time-series multi-attribute construction schemes of high arch dams based on the prospect theory(PT) and the sparrow search algorithm(SSA).According to the construction characteristics of high arch dams,a time-series multi-attribute stochastic intelligent optimization model is established based on PT,and a dynamic reference point setting method is built based on the stage development characteristics.The optimal attribute weight and stage weight search model is established based on SSA,and the fitness function is constructed with the idea of maximizing differences to realize the model solving.The results of engineering application show that the proposed method is consistent with the optimization results of the prospect stochastic dominance-CRITIC method(PT-CRITIC) and the stochastic dominance method,and the proposed method has more advantages in scheme discrimination than the other two methods.

关 键 词：高拱坝 时序多属性优化 动态参考点 前景随机理论 麻雀搜索算法 

分 类 号：TV511[水利工程—水利水电工程]