Optimization Design of Civil Engineering Construction Schedule Based on Genetic Algorithm

Author:

Shen Li,Zhang Guihong

Abstract

Abstract With the acceleration of the modernization process in our country, the construction and construction of civil engineering projects are becoming more and more frequent. As an important and complex system work, the progress control and optimization in the civil engineering construction process is very important. It is not only directly affect the overall planning and layout of the entire project, as well as the overall construction quality of the project. For this reason, this article applies genetic algorithm to civil engineering construction, and hopes to use genetic algorithm to optimize the construction progress of civil engineering. Taking the construction of a hydropower station in our province as an example, the genetic algorithm was specifically applied to the schedule optimization design of the project, and three optimization schemes were analyzed. After the investment amount and initial investment amount of each project and sub-project. By comparison, it is found that under the third optimization plan, the investment in the construction of the main dam, the construction of the auxiliary dam, the reinforcement and reconstruction of the sluice gate, the construction of the upstream and downstream rivers and the construction of the surrounding buildings of the project has increased from the initial 535.69 million yuan, 369.42 million yuan, 136.57 million yuan, 125.98 million yuan and112.34 million yuan fell to 512.59 million yuan, 340.12 million yuan, 113.58 million yuan, 105.92 million yuan and 98.74 million yuan, which greatly reduced investment costs. Research shows that genetic algorithm is beneficial to optimize the progress of civil engineering construction, and has a positive effect on reducing construction costs and improving project quality.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference10 articles.

1. Optimization Design of RFD Set Based On Genetic Algorithm[J];Jiangyun;Journal of Chongqing University,2016

2. Optimization Design of Space Truss Structure Based on Multi-objective Cellular Genetic Algorithm with Opposition-based Learning[J];Jianwei;Science Technology and Engineering,2016

3. Optimal design and dynamic control of construction dewatering with the consideration of dewatering process[J];Shi;KSCE Journal of Civil Engineering,2017

4. Optimization of concrete placing operation based on competing carbon footprint, cost and production rate objectives[J];Nadoushani;Engineering construction & architectural management,2018

5. Genetic algorithm for determining the construction logistics of precast components[J];Fang;Engineering construction & architectural management,2019

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3