Article(id=1311351319047270916, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1311351152067830064, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2026.20251460, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1755532800000, receivedDateStr=2025-08-19, revisedDate=1759075200000, revisedDateStr=2025-09-29, acceptedDate=1759593600000, acceptedDateStr=2025-10-05, onlineDate=1790580118189, onlineDateStr=2026-09-28, pubDate=1769270400000, pubDateStr=2026-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790580118189, onlineIssueDateStr=2026-09-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790580118189, creator=13701087609, updateTime=1790580118189, updator=13701087609, issue=Issue{id=1311351152067830064, tenantId=1146029695717560320, journalId=1205116964453384197, year='2026', volume='44', issue='1', pageStart='1', pageEnd='246', issueExtLink='null', onlineDate='null', pubDate='1769270400000', pubDateStr='2026-01-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1790580078378, creator='13701087609', updateTime=1790588459421, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1311386304772927717, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1311351152067830064, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1311386304772927718, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1311351152067830064, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=212, endPage=216, ext={EN=ArticleExt(id=1311351319269569029, articleId=1311351319047270916, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Multi-objective Optimization of Ecological Water Supplement Scheduling for Gate and Dam Groups for Suqian Yellow River Old Course Based on Genetic Algorithm, columnId=null, journalTitle=Water Resources and Power, columnName=null, runingTitle=null, highlight=null, articleAbstract=

The joint optimal operation of multi-source gate-dam groups is the key to balance multiple objectives like water level, water quality, water efficiency, and costs in water network scheduling. This study focuses on the cascade scheduling system of the Suqian Yellow River Old Course. Considering water level control, water quality compliance, cost reduction, and efficiency improvement, a multi-source gate-dam joint scheduling optimization model was established by coupling a hydrodynamic-water quality model with the NSGA-Ⅱ algorithm. Using the mechanism of "scheme generation-process simulation-effect evaluation-feedback optimization", the Pareto optimal solution set was iteratively solved. The comprehensive optimal scheduling solution was determined by the entropy weight method. The results show that the significant multi-objective conflicts among water level, water quality, efficiency, and cost in the study area; The cost and efficiency are inversely constrained; The relationship between water quality and water level is non-monotonic; There is a positive synergy interval between efficiency and water level; The cost and water quality mutually restrict each other; The proposed model can effectively balance these four objectives, with the comprehensive optimal solution yielding values of 0, 0.09, 0.24, and 0.12, respectively, achieving integrated optimization compared to single-objective solutions. The proposed method can provide crucial support for solving optimal scheduling problems involving multiple water sources, projects, and objectives.

, authors=Chuan-long LI¹, Yi-cheng GU¹, Si-ru WANG¹, Ji-cheng HU², Mi-xue LIU¹, Yi YAO¹, Ya-qian SONG¹, authorsList=Chuan-long LI, Yi-cheng GU, Si-ru WANG, Ji-cheng HU, Mi-xue LIU, Yi YAO, Ya-qian SONG, authorCompany=null, correspAuthors=Si-ru WANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1311351319571558918, articleId=1311351319047270916, tenantId=1146029695717560320, journalId=1205116964453384197, language=CN, title=基于遗传算法的宿迁黄河故道闸坝群生态补水调度多目标优化研究, columnId=1207271183679046476, journalTitle=水电能源科学, columnName=水电优化调度, runingTitle=null, highlight=null, articleAbstract=

多水源-闸坝群联合调度优化是平衡水网调度过程中水位—水质—水效—水费等多目标的重要手段。以宿迁黄河故道梯级调度系统为研究对象，考虑水位控制、水质达标与降本增效目标，耦合水动力-水质模型与NSGA-Ⅱ算法，构建了多水源-闸坝群生态补水调度优化模型，采用“方案生成-过程模拟-效果评价-反馈优化”机制，迭代求解了Pareto最优解集，并结合熵权法筛选了综合最优调度解。结果显示，研究区水位、水质、效率、成本四类目标间存在显著的多目标冲突特性，成本与效率呈反向制约，水质与水位的关联具有非单调性，效率与水位存在正向协同区间，成本与水质相互约束，闸坝群联合调度优化模型能够有效平衡这四类目标，综合最优解下相应目标值分别为0、0.09、0.24、0.12，相较于单目标最优解实现了水位、水质、效率与成本的统筹优化。研究提出的闸坝群联合调度优化方法能够为解决多水源、多工程、多目标的优化调度问题提供重要支撑。

, authors=李传龙¹, 顾一成¹, 王思如¹, 胡继成², 刘米雪¹, 姚轶¹, 宋亚倩¹, authorsList=李传龙, 顾一成, 王思如, 胡继成, 刘米雪, 姚轶, 宋亚倩, authorCompany=null, correspAuthors=王思如, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=a/LDy7RacixuZMJzrXN1Hg==, magXml=Uqh0YJgmZFCDKLgPReKDnA==, pdfUrl=null, pdf=a0FMn0Eaex8UggZPjcMpAw==, pdfFileSize=2428886, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=u3soMAgX8lJEJCuw2V9JkQ==, mapNumber=null, fund=null)}, authors=[Author(id=1311351319944851982, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1311351319047270916, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=455903687@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1311351320028738064, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1311351319047270916, authorId=1311351319944851982, language=EN, stringName=Chuan-long LI, firstName=Chuan-long, middleName=null, lastName=LI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1311351320104235537, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1311351319047270916, authorId=1311351319944851982, language=CN, stringName=李传龙, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．水利部交通运输部国家能源局南京水利科学研究院水灾害防御全国重点实验室，江苏 南京 210029, bio={"content":"

李传龙（1993-），男，硕士、工程师，研究方向为区域水问题综合治理，E-mail: 455903687@qq.com

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李传龙（1993-），男，硕士、工程师，研究方向为区域水问题综合治理，E-mail: 455903687@qq.com

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