Article(id=1223185966731477748, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20220858, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1650988800000, receivedDateStr=2022-04-27, revisedDate=1653667200000, revisedDateStr=2022-05-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1769559860165, onlineDateStr=2026-01-28, pubDate=1679673600000, pubDateStr=2023-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769559860165, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769559860165, creator=13701087609, updateTime=1769559860165, updator=13701087609, issue=Issue{id=1223185958363841064, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='3', 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=1769559858149, creator=13701087609, updateTime=1769561242661, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223191765415477785, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223191765415477786, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=35, endPage=38, ext={EN=ArticleExt(id=1223185968727966560, articleId=1223185966731477748, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Multi-objective Optimal Allocation of Water Resources in Hengshui City Based on MOEA/D Algorithm, columnId=1223185960926564679, journalTitle=Water Resources and Power, columnName=HYDROLOGY,WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

The contradiction between the supply and demand of water resources becomes increasingly acute, so it is particularly important to optimize the allocation and efficiently utilize the limited water resources in the region. Water resources allocation in Hengshui city was taken as a case study. The demand of optimal allocation of Hengshui city water resources was considered comprehensively. The multi-objective optimal allocation of water resources model was established by taking the social benefit, economic benefit and ecological benefit as the objective function. The scheme of optimal allocation of water resources based on MOEA/D algorithm was given, and comparison experiments between the proposed scheme and the scheme based on NSGA-Ⅲ algorithm was done. The experimental results show that proposed scheme is superior to the scheme reported by literature, which can provide relevant support for the rational allocation of water resources in Hengshui city.

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水资源供需之间的矛盾日趋激化,优化配置、高效利用区域内有限水资源变得尤为重要。以衡水市水资源配置为例,综合考虑衡水市水资源优化配置需求,建立了以社会效益、经济效益和生态效益为目标函数的水资源多目标优化配置模型,给出了基于MOEA/D算法的水资源优化配置方案,并将所提方案与基于NSGA-Ⅲ算法的方案进行了对比试验。结果表明,所提方案优于文献方案,可为衡水市水资源合理配置提供依据。

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朱思峰(1975-),男,博士(后)、教授、硕导,研究方向为人工智能算法、水资源优化配置等,E-mail:

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朱思峰(1975-),男,博士(后)、教授、硕导,研究方向为人工智能算法、水资源优化配置等,E-mail:

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朱思峰(1975-),男,博士(后)、教授、硕导,研究方向为人工智能算法、水资源优化配置等,E-mail:

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基于MOEA/D算法的衡水市水资源多目标优化配置
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朱思峰 , 刘程泰
水电能源科学 | 水文水资源与环境 2023,41(3): 35-38
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水电能源科学 | 水文水资源与环境 2023, 41(3): 35-38
基于MOEA/D算法的衡水市水资源多目标优化配置
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朱思峰 , 刘程泰
作者信息
  • 天津城建大学计算机与信息工程学院,天津 300384
  • 朱思峰(1975-),男,博士(后)、教授、硕导,研究方向为人工智能算法、水资源优化配置等,E-mail:

Multi-objective Optimal Allocation of Water Resources in Hengshui City Based on MOEA/D Algorithm
Si-feng ZHU , Cheng-tai LIU
Affiliations
  • School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin 300384, China
出版时间: 2023-03-25 doi: 10.20040/j.cnki.1000-7709.2023.20220858
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水资源供需之间的矛盾日趋激化,优化配置、高效利用区域内有限水资源变得尤为重要。以衡水市水资源配置为例,综合考虑衡水市水资源优化配置需求,建立了以社会效益、经济效益和生态效益为目标函数的水资源多目标优化配置模型,给出了基于MOEA/D算法的水资源优化配置方案,并将所提方案与基于NSGA-Ⅲ算法的方案进行了对比试验。结果表明,所提方案优于文献方案,可为衡水市水资源合理配置提供依据。

水资源优化配置  /  多目标优化算法  /  MOEA/D算法  /  衡水市

The contradiction between the supply and demand of water resources becomes increasingly acute, so it is particularly important to optimize the allocation and efficiently utilize the limited water resources in the region. Water resources allocation in Hengshui city was taken as a case study. The demand of optimal allocation of Hengshui city water resources was considered comprehensively. The multi-objective optimal allocation of water resources model was established by taking the social benefit, economic benefit and ecological benefit as the objective function. The scheme of optimal allocation of water resources based on MOEA/D algorithm was given, and comparison experiments between the proposed scheme and the scheme based on NSGA-Ⅲ algorithm was done. The experimental results show that proposed scheme is superior to the scheme reported by literature, which can provide relevant support for the rational allocation of water resources in Hengshui city.

optimal allocation of water resources  /  multi-objective optimal algorithm  /  MOEA/D algorithm  /  Hengshui City
朱思峰, 刘程泰. 基于MOEA/D算法的衡水市水资源多目标优化配置. 水电能源科学, 2023 , 41 (3) : 35 -38 . DOI: 10.20040/j.cnki.1000-7709.2023.20220858
Si-feng ZHU, Cheng-tai LIU. Multi-objective Optimal Allocation of Water Resources in Hengshui City Based on MOEA/D Algorithm[J]. Water Resources and Power, 2023 , 41 (3) : 35 -38 . DOI: 10.20040/j.cnki.1000-7709.2023.20220858
  • 国家自然科学基金项目(61972456)
2023年第41卷第3期
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doi: 10.20040/j.cnki.1000-7709.2023.20220858
  • 接收时间:2022-04-27
  • 首发时间:2026-01-28
  • 出版时间:2023-03-25
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  • 收稿日期:2022-04-27
  • 修回日期:2022-05-28
基金
国家自然科学基金项目(61972456)
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    天津城建大学计算机与信息工程学院,天津 300384
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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
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
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
栓菌属 Trametes 5 2.39
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