{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T12:22:28Z","timestamp":1783167748827,"version":"3.54.6"},"reference-count":28,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52125904"],"award-info":[{"award-number":["52125904"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52479132"],"award-info":[{"award-number":["52479132"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U2443230"],"award-info":[{"award-number":["U2443230"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Engineering Applications of Artificial Intelligence"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.engappai.2026.115312","type":"journal-article","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T06:13:08Z","timestamp":1780899188000},"page":"115312","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P1","title":["A parameter inversion method for rockfill dam based on improved multi objective particle swarm optimization and parameter decision-making method"],"prefix":"10.1016","volume":"181","author":[{"given":"Lifeng","family":"Wen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nannan","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanlong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yijie","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.engappai.2026.115312_bib1","article-title":"The use of shape accel array for deformation monitoring and parameter inversion of a 300 m ultrahigh rockfill dam","volume":"2023","author":"Ai","year":"2023","journal-title":"Struct. Control Health Monit."},{"key":"10.1016\/j.engappai.2026.115312_bib2","doi-asserted-by":"crossref","DOI":"10.1016\/j.compgeo.2024.106323","article-title":"Multi-source monitoring data filtering assisted deformation analysis model updating of ultra-high rockfill dam","volume":"171","author":"Ai","year":"2024","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.engappai.2026.115312_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.compstruc.2025.107918","article-title":"Machine-learning based tool for seismic response assessment of steel structures including masonry infill walls and soil-foundation-structure interaction","volume":"317","author":"Asgarkhani","year":"2025","journal-title":"Comput. Struct."},{"key":"10.1016\/j.engappai.2026.115312_bib4","article-title":"Optimized inversion method for thermal parameters of concrete dam under the insulated condition","volume":"126","author":"Chen","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.engappai.2026.115312_bib5","first-page":"785","article-title":"Xgboost: a scalable tree boosting system","author":"Chen","year":"2016","journal-title":"Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining"},{"issue":"5","key":"10.1016\/j.engappai.2026.115312_bib6","doi-asserted-by":"crossref","first-page":"1629","DOI":"10.1061\/JSFEAQ.0001458","article-title":"Nonlinear analysis of stress and strain in soils","volume":"96","author":"Duncan","year":"1970","journal-title":"J. Soil Mech. Found Div."},{"key":"10.1016\/j.engappai.2026.115312_bib7","doi-asserted-by":"crossref","DOI":"10.1016\/j.compgeo.2025.107214","article-title":"A novel inversion approach for seepage parameter of concrete face rockfill dams based on an enhanced sparrow search algorithm","volume":"183","author":"Feng","year":"2025","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.engappai.2026.115312_bib8","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.compgeo.2016.01.001","article-title":"Response surface and genetic method of deformation back analysis for high core rockfill dams","volume":"74","author":"Guo","year":"2016","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.engappai.2026.115312_bib9","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.106813","article-title":"The role of artificial intelligence and digital technologies in dam engineering: narrative review and outlook","volume":"126","author":"Hariri-Ardebili","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.engappai.2026.115312_bib10","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.compgeo.2017.10.018","article-title":"Joint back analysis of the creep deformation and wetting deformation parameters of soil used in the Guanyinyan composite dam","volume":"96","author":"Jia","year":"2018","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.engappai.2026.115312_bib11","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.compgeo.2014.11.013","article-title":"Back-analysis of soil parameters of the Malutang II concrete face rockfill dam using parallel mutation particle swarm optimization","volume":"65","author":"Jia","year":"2015","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.engappai.2026.115312_bib12","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.124897","article-title":"Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls","volume":"255","author":"Kazemi","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.engappai.2026.115312_bib13","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2023.129171","article-title":"Multi-source data-driven unsaturated seepage parameter inversion: application to a high core rockfill dam","volume":"617","author":"Li","year":"2023","journal-title":"J. Hydrol."},{"issue":"1","key":"10.1016\/j.engappai.2026.115312_bib14","doi-asserted-by":"crossref","first-page":"37","DOI":"10.12989\/gae.2016.10.1.037","article-title":"Estimating model parameters of rockfill materials based on genetic algorithm and strain measurements","volume":"10","author":"Li","year":"2016","journal-title":"Geomechanics & engineering"},{"issue":"7","key":"10.1016\/j.engappai.2026.115312_bib15","first-page":"873","article-title":"The sensitivity analysis of Duncan-Chang EB model parameters based on the orthogonal test method","volume":"44","author":"Li","year":"2013","journal-title":"J. Hydraul. Eng."},{"key":"10.1016\/j.engappai.2026.115312_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2023.102080","article-title":"Jaya-ICSM: a rapid inverse method driven by monitoring data for concrete-faced rockfill dams static displacement simulation","volume":"57","author":"Li","year":"2023","journal-title":"Adv. Eng. Inform."},{"issue":"7","key":"10.1016\/j.engappai.2026.115312_bib17","doi-asserted-by":"crossref","first-page":"2229","DOI":"10.1108\/EC-09-2019-0429","article-title":"Adaptive parameter inversion analysis method of rockfill dam based on harmony search algorithm and mixed multi-output relevance vector machine","volume":"37","author":"Ma","year":"2020","journal-title":"Eng. Comput."},{"key":"10.1016\/j.engappai.2026.115312_bib18","doi-asserted-by":"crossref","DOI":"10.1016\/j.compgeo.2023.105882","article-title":"Inversion of the seepage parameters of earth rockfill dams considering the coupling effect of seepage and thermal transfer","volume":"165","author":"Nan","year":"2024","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.engappai.2026.115312_bib19","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2025.103306","article-title":"Parameter inverse analysis of high rockfill dams considering material uncertainty based on the EJaya-SESM model","volume":"65","author":"Ren","year":"2025","journal-title":"Advanced Engineering Informatics"},{"issue":"12","key":"10.1016\/j.engappai.2026.115312_bib20","doi-asserted-by":"crossref","first-page":"2951","DOI":"10.1007\/s10346-022-01947-y","article-title":"Rapid prediction of landslide dam stability considering the missing data using XGBoost algorithm","volume":"19","author":"Shi","year":"2022","journal-title":"Landslides"},{"key":"10.1016\/j.engappai.2026.115312_bib21","doi-asserted-by":"crossref","DOI":"10.1016\/j.soildyn.2019.105968","article-title":"Dynamic parameters inversion analysis of rockfill materials considering interaction effects based on weak earthquakes","volume":"130","author":"Wang","year":"2020","journal-title":"Soil Dynam. Earthq. Eng."},{"key":"10.1016\/j.engappai.2026.115312_bib22","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.istruc.2022.09.020","article-title":"Parameter identification of unsaturated seepage model of core rockfill dams using principal component analysis and multi-objective optimization","volume":"45","author":"Xu","year":"2022","journal-title":"Structures"},{"issue":"3","key":"10.1016\/j.engappai.2026.115312_bib23","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.wse.2019.09.004","article-title":"Long-term deformation analysis of Shuibuya concrete face rockfill dam based on response surface method and improved genetic algorithm","volume":"12","author":"Yao","year":"2019","journal-title":"Water Sci. Eng."},{"key":"10.1016\/j.engappai.2026.115312_bib24","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127225","article-title":"Joint inverse analysis for instantaneous and creep deformation parameters of high rockfill dams based on surrogate models and improved multi-objective intelligent algorithm","volume":"277","author":"Yu","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.engappai.2026.115312_bib25","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.126135","article-title":"A multi-output prediction model for the high arch dam displacement utilizing the VMD-DTW partitioning technique and long-term temperature","volume":"267","author":"Zhang","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.engappai.2026.115312_bib26","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.compgeo.2012.07.006","article-title":"Integrated parameter inversion analysis method of a CFRD based on multi-output support vector machines and the clonal selection algorithm","volume":"47","author":"Zheng","year":"2013","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.engappai.2026.115312_bib27","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1007\/s11431-016-6017-2","article-title":"Zhang. Parameters inversion of high central core rockfill dams based on a novel genetic algorithm","volume":"59","author":"Zhou","year":"2016","journal-title":"Sci. China Technol. Sci."},{"issue":"5","key":"10.1016\/j.engappai.2026.115312_bib28","first-page":"1453","article-title":"Joint inversion method of instantaneous and creep parameters of rockfill dam based on incremental analysis","volume":"42","author":"Zhu","year":"2021","journal-title":"Rock Soil Mech."}],"container-title":["Engineering Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626015964?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626015964?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T12:06:39Z","timestamp":1783166799000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0952197626015964"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":28,"alternative-id":["S0952197626015964"],"URL":"https:\/\/doi.org\/10.1016\/j.engappai.2026.115312","relation":{},"ISSN":["0952-1976"],"issn-type":[{"value":"0952-1976","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A parameter inversion method for rockfill dam based on improved multi objective particle swarm optimization and parameter decision-making method","name":"articletitle","label":"Article Title"},{"value":"Engineering Applications of Artificial Intelligence","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.engappai.2026.115312","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"115312"}}