水利学报2025，Vol.56Issue(8)：1095-1107,13.DOI:10.13243/j.cnki.slxb.20240355
基于HC-PGA的混凝土坝施工水平运输多目标调度优化模型构建与分析
Construction and analysis of multi-objective scheduling optimization model for horizontal transportation of concrete dam construction based on HC-PGA
摘要
Abstract
In the construction schedule and cost management of concrete dam projects,it is urgent to consider the optimization scheme of horizontal transportation dispatch of dam materials,slag materials,and aggregate.However,the strict logical relationships in the path planning and task allocation bring high constraint genetic operator problems that cannot be effectively solved by conventional algorithms.In this paper,the basic logic of concrete dam transport vehicle dispatch is sorted out firstly,and a multi-objective optimization dispatch mathematical model for concrete dam construction level transportation is established.Then,the Partheno-Genetic Algorithm(PGA)is used as the main optimization means,and the Hamiltonian loop optimization is used to screen the initial solution.The Logistic chaotic mapping is used to determine the position of the Partheno-Genetic Algorithm mutation operator to improve the high constraint problem caused by the road conditions and transportation task logic of the concrete dam construction site.The High-constraint Partheno-Genetic Algorithm(HC-PGA)algorithm is proposed for the construction and analysis of the multi-objective level transportation dispatch optimization model for concrete dam transportation con-struction.Finally,the above model is applied to the transport vehicle dispatch of a concrete dam project in southwest China.The engineering practice results show that compared with the conventional genetic algorithm model and tradi-tional manual experience scheduling method utilized in the static scheduling situation,the model proposed in this paper can save approximately 17.86％and 50.13％of transportation costs,respectively,and improve operation effi-ciency by 16.7％and 50％,respectively.It can also achieve dynamic scheduling and has advantages in improving the efficiency of concrete dam transportation,optimizing transport distances,reducing costs,and minimizing energy con-sumption.关键词
混凝土坝施工/水平运输/多目标调度优化/高约束单亲遗传算法Key words
concrete dam construction/horizontal transport/multi-objective scheduling optimization/High-constraint Partheno-Genetic Algorithm分类
建筑与水利引用本文复制引用
崔博,赵科皓,佟大威,蔡志坚,宋本扬,张晓君..基于HC-PGA的混凝土坝施工水平运输多目标调度优化模型构建与分析[J].水利学报,2025,56(8):1095-1107,13.基金项目
国家自然科学基金雅砻江联合基金重点项目(U23B20148) （U23B20148）
