Synergistic Optimization for the Han-to-Wei Project under Dry Conditions Using MOEA/D-PFE: A Case Study of Huangjinxia Reservoir

Synergistic Optimization for the Han-to-Wei Project under Dry Conditions Using MOEA/D-PFE: A Case Study of Huangjinxia Reservoir | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Synergistic Optimization for the Han-to-Wei Project under Dry Conditions Using MOEA/D-PFE: A Case Study of Huangjinxia Reservoir Xiaomei Sun, Boyu Zhang, Yichu Lu, Kekuo Yuan, Xinyi Zhang, Wencai Hui This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9240281/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 10 You are reading this latest preprint version Abstract Most Inter-basin water transfer (IBWT) projects contribute significantly to regional water security and yet suffer substantial operational trade-offs due to hydrological uncertainties. The study takes the multi-objective operation of the Huangjinxia Reservoir, the key water source of the Han-to-Wei IBWT project, focusing on the intense conflict between mandatory water diversion and power generation during 75% dry years. Furthermore, in order to alleviate the solution clustering drawback of traditional multi-objective algorithms in dealing with highly nonlinear constraints, we introduce a multi-objective evolutionary algorithm based on decomposition with Pareto front estimation (MOEA/D-PFE). By dynamic weight remapping, MOEA/D-PFE effectively captures the geometric manifold of the objective space. Performance comparisons with NSGA-II and standard MOEA/D show that: (1) At the mathematical level, MOEA/D-PFE can greatly improve the uniformity and convergence of solutions, which has been confirmed by the hypervolume (HV), spacing (SP) and the Wilcoxon Rank-Sum Test; (2) At the engineering level, the algorithm produces a more continuous and extensive Pareto front, providing superior decision support for balancing conflicting water-use objectives; (3) The optimized rules accurately reflect important strategies, specifically high water-level operation to compensate for head and prioritizing diversion over power generation during dry periods. The research provides a robust quantitative framework for the refined management of complex IBWT projects under climatic risks. Physical sciences/Engineering Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Hydrology Han-to-Wei Water Diversion Huangjinxia Reservoir Multi-objective Operation MOEA/D-PFE Dry Conditions Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Revision requested 04 May, 2026 Reviews received at journal 29 Apr, 2026 Reviewers agreed at journal 15 Apr, 2026 Reviews received at journal 14 Apr, 2026 Reviewers agreed at journal 09 Apr, 2026 Reviewers invited by journal 01 Apr, 2026 Editor invited by journal 31 Mar, 2026 Editor assigned by journal 27 Mar, 2026 Submission checks completed at journal 27 Mar, 2026 First submitted to journal 27 Mar, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9240281","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":616074008,"identity":"83f7ca39-8207-40f7-8a60-6045c817570e","order_by":0,"name":"Xiaomei Sun","email":"","orcid":"","institution":"Xijing University","correspondingAuthor":false,"prefix":"","firstName":"Xiaomei","middleName":"","lastName":"Sun","suffix":""},{"id":616074018,"identity":"f045b735-32df-48dc-8863-bd89e571dda2","order_by":1,"name":"Boyu Zhang","email":"","orcid":"","institution":"Northeast Electric Power University","correspondingAuthor":false,"prefix":"","firstName":"Boyu","middleName":"","lastName":"Zhang","suffix":""},{"id":616074021,"identity":"f87f67dd-d68a-4235-b921-7fbdbadb3810","order_by":2,"name":"Yichu Lu","email":"","orcid":"","institution":"Xijing University","correspondingAuthor":false,"prefix":"","firstName":"Yichu","middleName":"","lastName":"Lu","suffix":""},{"id":616074025,"identity":"c4b457ef-b75a-403d-8f68-de683198ffde","order_by":3,"name":"Kekuo Yuan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2UlEQVRIiWNgGAWjYBACCQY2KIuZsfFBQkUNKVrYmQ8bPDhzjBQt/Gxpkg9bmAlrkWxvS5P42HZY3pyZx6wisYGNgb+9OwGvFmmeY8ckZ7YdNtzZzGN2I3GHDIPEmbMb8GqRk0hvk+ZtO8y44TBIyxk2BgOJXAJa5J+DtdiDtBQktjET1iItwXYMpCVxw2G2NAaitEj2pCVbzjiXnrzhMPNhiYQzx3gI+kXi+DHDGx/KrG03nD/Y+PFHRY0cf3svfi1gwMiGYPMQVg4Gf4hUNwpGwSgYBSMTAADWakfbnVaw/AAAAABJRU5ErkJggg==","orcid":"","institution":"Xijing University","correspondingAuthor":true,"prefix":"","firstName":"Kekuo","middleName":"","lastName":"Yuan","suffix":""},{"id":616074029,"identity":"59653bea-0164-4ebc-b646-57b67950f35d","order_by":4,"name":"Xinyi Zhang","email":"","orcid":"","institution":"Xijing University","correspondingAuthor":false,"prefix":"","firstName":"Xinyi","middleName":"","lastName":"Zhang","suffix":""},{"id":616074040,"identity":"85a9ae30-c1e1-491d-9d5d-04e15d3b64ea","order_by":5,"name":"Wencai Hui","email":"","orcid":"","institution":"Shanghai Energy Technology Development Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Wencai","middleName":"","lastName":"Hui","suffix":""}],"badges":[],"createdAt":"2026-03-27 05:23:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9240281/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9240281/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106402882,"identity":"3b169837-98ad-4088-af9a-369b7c43b529","added_by":"auto","created_at":"2026-04-08 09:13:07","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":839817,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9240281/v1_covered_cc6b09c2-8bbe-4054-9243-e15a7168a109.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Synergistic Optimization for the Han-to-Wei Project under Dry Conditions Using MOEA/D-PFE: A Case Study of Huangjinxia Reservoir","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Han-to-Wei Water Diversion, Huangjinxia Reservoir, Multi-objective Operation, MOEA/D-PFE, Dry Conditions","lastPublishedDoi":"10.21203/rs.3.rs-9240281/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9240281/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMost Inter-basin water transfer (IBWT) projects contribute significantly to regional water security and yet suffer substantial operational trade-offs due to hydrological uncertainties. 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