Article(id=1222963542618268139, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221193, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1654444800000, receivedDateStr=2022-06-06, revisedDate=1658073600000, revisedDateStr=2022-07-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1769506830121, onlineDateStr=2026-01-27, pubDate=1682352000000, pubDateStr=2023-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769506830121, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769506830121, creator=13701087609, updateTime=1769506830121, updator=13701087609, issue=Issue{id=1222963536863678929, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='4', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769506828752, creator=13701087609, updateTime=1769508076664, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222968771057279321, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222968771057279322, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=199, endPage=202, ext={EN=ArticleExt(id=1222963543406797374, articleId=1222963542618268139, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Optimization of Construction Schedule of Large Box Culvert Based on NSGAⅡ-SVR, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

The determination of water conservancy project construction scheme is one of the most important decisions during the whole project construction period, which has an important impact on the progress and cost of the project. Considering the influence of main construction machinery and team configuration on construction period and cost, this paper established SVR model to simulate different construction schemes and corresponding construction period and cost data, and used multi-objective genetic algorithm to optimize construction schemes. Taking a box culvert project of South-to-North Water Transfer as an example, optimization model was established considering both construction period and cost. The optimization of project construction scheme was realized, and the applicability and accuracy of the model and method were verified.

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水利工程项目施工方案的确定是整个项目建设期间最重要的决策之一,对工程进度和成本有重要影响。通过考虑主要施工机械和班组配置对工期和成本的影响,建立SVR模型实现不同施工方案与对应工期及成本数据的模拟,在此基础上采用多目标遗传算法实现施工方案的优选,并以南水北调某输水箱涵工程为例,建立同时考虑工期和成本的优化模型,实现了工程施工方案的优选,验证了模型和方法的适用性和准确性。

, correspAuthors=null, authorNote=null, correspAuthorsNote=
吴鑫淼(1972-),女,教授、硕导,研究方向为水工结构优化,E-mail:
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郝仕阳(1999-),男,硕士研究生,研究方向为水工结构优化,E-mail:

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郝仕阳(1999-),男,硕士研究生,研究方向为水工结构优化,E-mail:

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郝仕阳(1999-),男,硕士研究生,研究方向为水工结构优化,E-mail:

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基于NSGA Ⅱ-SVR的大型箱涵施工进度方案优选
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郝仕阳 1 , 吴天齐 2 , 吴鑫淼 1 , 郄志红 1
水电能源科学 | 水利水电工程 2023,41(4): 199-202
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水电能源科学 | 水利水电工程 2023, 41(4): 199-202
基于NSGA Ⅱ-SVR的大型箱涵施工进度方案优选
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郝仕阳1 , 吴天齐2, 吴鑫淼1 , 郄志红1
作者信息
  • 1.河北农业大学城乡建设学院,河北 保定 071001
  • 2.国网北京市电力公司丰台供电公司,北京 100071
  • 郝仕阳(1999-),男,硕士研究生,研究方向为水工结构优化,E-mail:

通讯作者:

吴鑫淼(1972-),女,教授、硕导,研究方向为水工结构优化,E-mail:
Optimization of Construction Schedule of Large Box Culvert Based on NSGAⅡ-SVR
Shi-yang HAO1 , Tian-qi WU2, Xin-miao WU1 , Zhi-hong QIE1
Affiliations
  • 1.College of Urban and Rural Construction, Hebei Agriculture University, Baoding 071001, China
  • 2.Fengtai Power Supply Company of State Grid Beijing Electric Power Company, Beijing 100071, China
出版时间: 2023-04-25 doi: 10.20040/j.cnki.1000-7709.2023.20221193
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水利工程项目施工方案的确定是整个项目建设期间最重要的决策之一,对工程进度和成本有重要影响。通过考虑主要施工机械和班组配置对工期和成本的影响,建立SVR模型实现不同施工方案与对应工期及成本数据的模拟,在此基础上采用多目标遗传算法实现施工方案的优选,并以南水北调某输水箱涵工程为例,建立同时考虑工期和成本的优化模型,实现了工程施工方案的优选,验证了模型和方法的适用性和准确性。

多目标遗传算法  /  SVR  /  大型箱涵  /  施工进度  /  优化

The determination of water conservancy project construction scheme is one of the most important decisions during the whole project construction period, which has an important impact on the progress and cost of the project. Considering the influence of main construction machinery and team configuration on construction period and cost, this paper established SVR model to simulate different construction schemes and corresponding construction period and cost data, and used multi-objective genetic algorithm to optimize construction schemes. Taking a box culvert project of South-to-North Water Transfer as an example, optimization model was established considering both construction period and cost. The optimization of project construction scheme was realized, and the applicability and accuracy of the model and method were verified.

multi-objective genetic algorithm  /  support vector regression machine  /  large box culvert  /  construction progress  /  optimization
郝仕阳, 吴天齐, 吴鑫淼, 郄志红. 基于NSGA Ⅱ-SVR的大型箱涵施工进度方案优选. 水电能源科学, 2023 , 41 (4) : 199 -202 . DOI: 10.20040/j.cnki.1000-7709.2023.20221193
Shi-yang HAO, Tian-qi WU, Xin-miao WU, Zhi-hong QIE. Optimization of Construction Schedule of Large Box Culvert Based on NSGAⅡ-SVR[J]. Water Resources and Power, 2023 , 41 (4) : 199 -202 . DOI: 10.20040/j.cnki.1000-7709.2023.20221193
  • 河北省水利科技计划项目(2022-13; 2022-09; 2020-53)
2023年第41卷第4期
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doi: 10.20040/j.cnki.1000-7709.2023.20221193
  • 接收时间:2022-06-06
  • 首发时间:2026-01-27
  • 出版时间:2023-04-25
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  • 收稿日期:2022-06-06
  • 修回日期:2022-07-18
基金
河北省水利科技计划项目(2022-13; 2022-09; 2020-53)
作者信息
    1.河北农业大学城乡建设学院,河北 保定 071001
    2.国网北京市电力公司丰台供电公司,北京 100071

通讯作者:

吴鑫淼(1972-),女,教授、硕导,研究方向为水工结构优化,E-mail:
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2种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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