{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T06:06:44Z","timestamp":1778825204593,"version":"3.51.4"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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":["62171179"],"award-info":[{"award-number":["62171179"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.asoc.2026.115198","type":"journal-article","created":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T17:05:14Z","timestamp":1776013514000},"page":"115198","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Multi-objective optimization-based denoising two-archive evolutionary algorithm for path planning"],"prefix":"10.1016","volume":"198","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2411-9551","authenticated-orcid":false,"given":"Zhihua","family":"Liu","sequence":"first","affiliation":[]},{"given":"Jingtao","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Jingyu","family":"Huo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9760-6253","authenticated-orcid":false,"given":"Jiaxing","family":"Chen","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"26","key":"10.1016\/j.asoc.2026.115198_bib0005","first-page":"13","article-title":"Multiobjective optimization of gene circuits for metabolic engineering**IOM and JRB acknowledge funding from the Spanish Ministry of Science, Innovation and Universities and the European Union Feder under grant synbiocontrol (DPI2017-82896-C2-2-R)","volume":"52","author":"Otero-Muras","year":"2019","journal-title":"IFAC-Pap."},{"key":"10.1016\/j.asoc.2026.115198_bib0010","first-page":"1","article-title":"A joint-encoding evolutionary algorithm for multimodal multiobjective feature selection in classification","author":"Liang","year":"2025","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115198_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.icheatmasstransfer.2024.108575","article-title":"Optimization of geothermal engineering design by combining PB-CCD and multi-objective algorithm","volume":"162","author":"Mu","year":"2025","journal-title":"Int. Commun. Heat Mass Transf."},{"key":"10.1016\/j.asoc.2026.115198_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127426","article-title":"Multi-objective optimization of gasoline blending scheduling via NSGA-II algorithm with composite operators considering oil movement path planning","volume":"280","author":"He","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115198_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.112306","article-title":"A multi-objective cat swarm optimization algorithm based on two-archive mechanism for UAV 3-D path planning problem","volume":"167","author":"Pang","year":"2024","journal-title":"Appl. Soft Comput."},{"issue":"6","key":"10.1016\/j.asoc.2026.115198_bib0030","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","article-title":"MOEA\/D: a multiobjective evolutionary algorithm based on decomposition","volume":"11","author":"Zhang","year":"2007","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115198_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.109482","article-title":"HK-MOEA\/D: a historical knowledge-guided resource allocation for decomposition multiobjective optimization","volume":"139","author":"Li","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"2","key":"10.1016\/j.asoc.2026.115198_bib0040","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multiobjective genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"5","key":"10.1016\/j.asoc.2026.115198_bib0045","doi-asserted-by":"crossref","first-page":"944","DOI":"10.1016\/j.camwa.2012.01.063","article-title":"An improved strength pareto evolutionary algorithm 2 with application to the optimization of distributed generations","volume":"64","author":"Sheng","year":"2012","journal-title":"Comput. Math. Appl."},{"issue":"3","key":"10.1016\/j.asoc.2026.115198_bib0050","doi-asserted-by":"crossref","first-page":"1653","DOI":"10.1016\/j.ejor.2006.08.008","article-title":"SMS-EMOA: multiobjective selection based on dominated hypervolume","volume":"181","author":"Beume","year":"2007","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115198_bib0055","series-title":"Parallel Problem Solving from Nature - PPSN VIII","first-page":"832","article-title":"Indicator-based selection in multiobjective search","author":"Zitzler","year":"2004"},{"issue":"2","key":"10.1016\/j.asoc.2026.115198_bib0060","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1109\/TEVC.2022.3155533","article-title":"A survey on evolutionary constrained multiobjective optimization","volume":"27","author":"Liang","year":"2023","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115198_bib0065","series-title":"2021 IEEE Congress on Evolutionary Computation (CEC)","first-page":"1470","article-title":"A dynamic penalty function within MOEA\/D for constrained multi-objective optimization problems","author":"Maldonado","year":"2021"},{"issue":"8","key":"10.1016\/j.asoc.2026.115198_bib0070","first-page":"3086","article-title":"Tri-goal evolution framework for constrained many-objective optimization","volume":"50","author":"Zhou","year":"2020","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"10.1016\/j.asoc.2026.115198_bib0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.121491","article-title":"Many-objective firefly algorithm with two archives for computation offloading","volume":"689","author":"Wang","year":"2025","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115198_bib0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121281","article-title":"An improved two-archive artificial bee colony algorithm for many-objective optimization","volume":"236","author":"Ye","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115198_bib0085","first-page":"253","article-title":"A constrained multi-objective evolutionary algorithm based on dynamic clustering strategy","author":"Tu","year":"2025","journal-title":"Int. J. Comput. Appl. Technol."},{"issue":"4","key":"10.1016\/j.asoc.2026.115198_bib0090","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1504\/IJCAST.2025.147066","article-title":"Particle swarm optimisation with modified global search and local search exemplars for large-scale optimisation","volume":"1","author":"Chen","year":"2025","journal-title":"Int. J. Complex. Appl. Sci. Technol."},{"issue":"3","key":"10.1016\/j.asoc.2026.115198_bib0095","first-page":"233","article-title":"Three-way decision-making based on index threshold acquisition","volume":"1","author":"Li","year":"2025","journal-title":"Int. J. Complex. Appl. Sci. Technol."},{"issue":"2","key":"10.1016\/j.asoc.2026.115198_bib0100","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/S0045-7825(99)00386-2","article-title":"Evolutionary algorithms in noisy environments: theoretical issues and guidelines for practice","volume":"186","author":"Beyer","year":"2000","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"10.1016\/j.asoc.2026.115198_bib0105","series-title":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC\u201902 (Cat. No. 02TH8600)","first-page":"825","article-title":"Scalable multi-objective optimization test problems","volume":"vol. 1","author":"Deb","year":"2002"},{"issue":"9","key":"10.1016\/j.asoc.2026.115198_bib0110","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.1109\/TCYB.2015.2459137","article-title":"Regularity model for noisy multiobjective optimization","volume":"46","author":"Wang","year":"2016","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.asoc.2026.115198_bib0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101259","article-title":"A two-stage evolutionary algorithm for noisy bi-objective optimization","volume":"78","author":"Zheng","year":"2023","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115198_bib0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.109263","article-title":"A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming","volume":"126","author":"Liu","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115198_bib0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113842","article-title":"A noisy multi-objective evolutionary optimization algorithm based on elman neural network","volume":"184","author":"Li","year":"2025","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115198_bib0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2021.101027","article-title":"Noisy multi-objective optimization algorithm based on Gaussian model and regularity model","volume":"69","author":"Liu","year":"2022","journal-title":"Swarm Evol. Comput."},{"issue":"2","key":"10.1016\/j.asoc.2026.115198_bib0135","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/TEVC.2018.2855411","article-title":"Two-archive evolutionary algorithm for constrained multiobjective optimization","volume":"23","author":"Li","year":"2019","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115198_bib0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.116034","article-title":"Credit scoring based on tree-enhanced gradient boosting decision trees","volume":"189","author":"Liu","year":"2022","journal-title":"Expert Syst. Appl."},{"issue":"5","key":"10.1016\/j.asoc.2026.115198_bib0145","doi-asserted-by":"crossref","first-page":"4339","DOI":"10.1007\/s40747-022-00717-6","article-title":"An adaptive model switch-based surrogate-assisted evolutionary algorithm for noisy expensive multi-objective optimization","volume":"8","author":"Zheng","year":"2022","journal-title":"Complex Intell. Syst."},{"key":"10.1016\/j.asoc.2026.115198_bib0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113340","article-title":"A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance","volume":"315","author":"Yue","year":"2025","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.asoc.2026.115198_bib0155","series-title":"Evolutionary Multi-Criterion Optimization","first-page":"110","article-title":"Modified distance calculation in generational distance and inverted generational distance","author":"Ishibuchi","year":"2015"},{"issue":"1","key":"10.1016\/j.asoc.2026.115198_bib0160","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1162\/EVCO_a_00009","article-title":"Hype: an algorithm for fast hypervolume-based many-objective optimization","volume":"19","author":"Bader","year":"2011","journal-title":"Evol. Comput."},{"issue":"19","key":"10.1016\/j.asoc.2026.115198_bib0165","doi-asserted-by":"crossref","first-page":"4124","DOI":"10.1016\/j.ins.2011.05.011","article-title":"Evolutionary algorithms for optimization problems with uncertainties and hybrid indices","volume":"181","author":"Wei Gong","year":"2011","journal-title":"Inf. Sci."},{"issue":"10","key":"10.1016\/j.asoc.2026.115198_bib0170","doi-asserted-by":"crossref","first-page":"6263","DOI":"10.1109\/TCYB.2022.3170344","article-title":"Performance indicator-based adaptive model selection for offline data-driven multiobjective evolutionary optimization","volume":"53","author":"Liu","year":"2023","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.asoc.2026.115198_bib0175","article-title":"A many-objective optimization evolutionary algorithm based on hyper-dominance degree","volume":"83","author":"Liu","year":"2023","journal-title":"Swarm Evol. Comput."},{"issue":"4","key":"10.1016\/j.asoc.2026.115198_bib0180","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1109\/TEVC.2014.2350987","article-title":"Two_ARCH2: an improved two-archive algorithm for many-objective optimization","volume":"19","author":"Wang","year":"2015","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"10.1016\/j.asoc.2026.115198_bib0185","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/TEVC.2007.894202","article-title":"RM-MEDA: a regularity model-based multiobjective estimation of distribution algorithm","volume":"12","author":"Zhang","year":"2008","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.asoc.2026.115198_bib0190","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1109\/MCI.2017.2742868","article-title":"PlateMO: a matlab platform for evolutionary multi-objective optimization [educational forum]","volume":"12","author":"Tian","year":"2017","journal-title":"IEEE Comput. Intell. Mag."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626006460?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626006460?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:07:37Z","timestamp":1778821657000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494626006460"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":38,"alternative-id":["S1568494626006460"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115198","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multi-objective optimization-based denoising two-archive evolutionary algorithm for path planning","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115198","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"115198"}}