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基于量子布谷鸟算法的冻土区水利工程施工进度优化方法研究

高振梅

陕西水利Issue(2):19-21,25,4.
陕西水利Issue(2):19-21,25,4.

基于量子布谷鸟算法的冻土区水利工程施工进度优化方法研究

Research on Construction Schedule Optimization Method for Hydraulic Engineering in Permafrost Areas Based on Quantum Cuckoo Search Algorithm

高振梅1

作者信息

  • 1. 费县水利工程保障中心石岚水库服务股,山东费县 273400
  • 折叠

摘要

Abstract

To address the challenge of construction schedule control in hydraulic engineering projects within permafrost areas,this study proposes an optimization method based on the Quantum Cuckoo Search algorithm.Considering factors such as cost,technical level,resources,and the permafrost environment that impact construction schedules,an optimization model is constructed with the objectives of minimizing project duration,reducing costs,and ensuring high-quality standards for hydraulic engineering construction in permafrost regions.To improve the efficiency of solving the model,the Quantum Search mechanism is used to enhance the traditional Cuckoo Search algorithm.Using a hydraulic hub as the research subject,three scenarios are set up to verify the effectiveness of the proposed model.The results show that this method can achieve schedule optimization for different construction scenarios.This study provides a theoretical foundation for actual construction practices.

关键词

施工进度优化/布谷鸟算法/量子算法/冻土区/水利工程

Key words

Construction schedule optimization/cuckoo search algorithm/quantum algorithms/permafrost areas/hydraulic engineering

分类

水利科学

引用本文复制引用

高振梅..基于量子布谷鸟算法的冻土区水利工程施工进度优化方法研究[J].陕西水利,2025,(2):19-21,25,4.

陕西水利

1673-9000

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