{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T22:01:33Z","timestamp":1784584893497,"version":"3.55.0"},"reference-count":62,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T00:00:00Z","timestamp":1669334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61873240"],"award-info":[{"award-number":["61873240"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The dynamic multi-objective optimization problem (DMOP) is a common problem in optimization problems; the main reasons are the objective\u2019s conflict and environment changes. In this paper, we provide a prediction approach based on diversity screening and special point prediction (DSSP) to tackle the dynamic optimization issue. First, we introduce a decision variable clustering and screening strategy that clusters the decision space of the non-dominated solution set to find the cluster centroids and then employs a decision variable screening strategy to filter out solutions that have an impact on the distribution of individuals. This approach can broaden the range of dynamic multi-objective optimization algorithms. Second, an approach for predicting special points is suggested. The algorithm\u2019s convergence is improved following environmental changes by forecasting the special point tracking Pareto front in the object space. Finally, the forward-looking center points are used to predict the non-dominated solution set and eliminate the useless individuals in the population. The prediction strategy can help the solution set converge while maintaining its diversity, which is compared with the four other state-of-the-art strategies. Our experimental results demonstrate that the proposed algorithm, DSSP, can effectively tackle DMOPs.<\/jats:p>","DOI":"10.1093\/jcde\/qwac124","type":"journal-article","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T16:09:12Z","timestamp":1669392552000},"page":"1-15","source":"Crossref","is-referenced-by-count":13,"title":["A dynamic multi-objective evolutionary algorithm based on prediction"],"prefix":"10.1093","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8483-5392","authenticated-orcid":false,"given":"Fei","family":"Wu","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University of Technology , Hangzhou, ZheJiang 310023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiacheng","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University of Technology , Hangzhou, ZheJiang 310023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanliang","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University of Technology , Hangzhou, ZheJiang 310023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,11,25]]},"reference":[{"issue":"5","key":"2023011112244680200_bib1","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1016\/j.csda.2004.11.011","article-title":"Linear grouping using orthogonal regression","volume":"50","author":"Aelst","year":"2006","journal-title":"Computational Statistics & Data Analysis"},{"issue":"7","key":"2023011112244680200_bib2","doi-asserted-by":"crossref","first-page":"1283","DOI":"10.1007\/s00500-012-0964-8","article-title":"Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms","volume":"17","author":"Ahmed","year":"2013","journal-title":"Soft Computing"},{"key":"2023011112244680200_bib4","first-page":"300","article-title":"Large-scale global optimization using cooperative coevolution with variable interaction learning","volume-title":"Proceedings of the 2010 11th International Conference on Parallel Problem Solving from Nature \u2013 PPSN XI, Part II","author":"Chen","year":"2010"},{"key":"2023011112244680200_bib5","doi-asserted-by":"crossref","first-page":"101041","DOI":"10.1016\/j.swevo.2022.101041","article-title":"Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization","volume":"70","author":"Chen","year":"2022","journal-title":"Swarm and Evolutionary Computation"},{"key":"2023011112244680200_bib3","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.swevo.2018.05.001","article-title":"A hybrid fuzzy inference prediction strategy for dynamic multi-objective optimization","volume":"43","author":"Chen","year":"2018","journal-title":"Swarm and Evolutionary Computation"},{"key":"2023011112244680200_bib6","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/978-3-642-11218-8_4","article-title":"Approaching dynamic multi-objective optimization problems by using parallel evolutionary algorithms","volume-title":"Advances in multi-objective nature inspired computing","author":"C\u00e1mara","year":"2010"},{"issue":"2\u20133","key":"2023011112244680200_bib7","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/BF01195985","article-title":"On characterizing the \u201cknee\u201d of the Pareto curve based on normal-boundary intersection","volume":"18","author":"Das","year":"1999","journal-title":"Structural Optimization"},{"issue":"11","key":"2023011112244680200_bib8","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1080\/0305215X.2010.548863","article-title":"Understanding knee points in bicriteria problems and their implications as preferred solution principles","volume":"43","author":"Deb","year":"2011","journal-title":"Engineering Optimization"},{"key":"2023011112244680200_bib9","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.asoc.2017.05.044","article-title":"Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems","volume":"59","author":"Fan","year":"2017","journal-title":"Applied Soft Computing"},{"issue":"5","key":"2023011112244680200_bib10","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1109\/TEVC.2004.831456","article-title":"Dynamic multiobjective optimization problems: Test cases, approximations, and applications","volume":"8","author":"Farina","year":"2004","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"12","key":"2023011112244680200_bib11","doi-asserted-by":"crossref","first-page":"3265","DOI":"10.1109\/TFUZZ.2020.3003506","article-title":"Solving fuzzy job-shop scheduling problem using DE algorithm improved by a selection mechanism","volume":"28","author":"Gao","year":"2020","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"1","key":"2023011112244680200_bib12","first-page":"103","article-title":"A competitive-cooperative coevolutionary paradigm for dynamic multiobjective optimization","volume":"13","author":"Goh","year":"2008","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"2023011112244680200_bib13","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1109\/TEVC.2019.2912204","article-title":"A similarity-based cooperative co-evolutionary algorithm for dynamic interval multiobjective optimization problems","volume":"24","author":"Gong","year":"2019","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"11","key":"2023011112244680200_bib14","doi-asserted-by":"crossref","first-page":"3522","DOI":"10.1080\/00207543.2018.1542177","article-title":"First-train timing synchronisation using multi-objective optimisation in urban transit networks","volume":"57","author":"Guo","year":"2019","journal-title":"International Journal of Production Research"},{"key":"2023011112244680200_bib15","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.hydromet.2017.08.007","article-title":"Dynamic multi-objective optimization arising in iron precipitation of zinc hydrometallurgy","volume":"173","author":"Han","year":"2017","journal-title":"Hydrometallurgy"},{"key":"2023011112244680200_bib16","first-page":"1201","article-title":"Dynamic multi-objective optimization with evolutionary algorithms: A forward-looking approach","volume-title":"Proceedings of the 2006 Genetic and Evolutionary Computation Conference, GECCO 2006","author":"Hatzakis","year":"2006"},{"key":"2023011112244680200_bib17","doi-asserted-by":"crossref","first-page":"7071","DOI":"10.2514\/6.2006-7071","article-title":"Topology of anticipatory populations for evolutionary dynamic multi-objective optimization","volume-title":"Proceedings of the 11th AIAA\/ISSMO Multidisciplinary Analysis and Optimization Conference","author":"Hatzakis","year":"2006"},{"issue":"2","key":"2023011112244680200_bib18","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1109\/TEVC.2020.3027620","article-title":"Knee-based decision making and visualization in many-objective optimization","volume":"25","author":"He","year":"2021","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2023011112244680200_bib19","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.ins.2013.06.051","article-title":"Performance measures for dynamic multi-objective optimisation algorithms","volume":"250","author":"Helbig","year":"2013","journal-title":"Information Sciences"},{"key":"2023011112244680200_bib20","doi-asserted-by":"crossref","first-page":"1898","DOI":"10.1145\/3205651.3208224","article-title":"Incorporation of a decision space diversity maintenance mechanism into MOEA\/D for multi-modal multi-objective optimization","volume-title":"Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, GECCO 2018","author":"Hu","year":"2018"},{"issue":"1","key":"2023011112244680200_bib21","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/TEVC.2016.2574621","article-title":"A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization","volume":"21","author":"Jiang","year":"2016","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"2023011112244680200_bib22","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/TEVC.2016.2574621","article-title":"A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization","volume":"21","author":"Jiang","year":"2017","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2023011112244680200_bib23","first-page":"1","article-title":"Evolutionary dynamic multi-objective optimisation: A survey","volume":"55","author":"Jiang","year":"2022","journal-title":"ACM Computing Surveys"},{"issue":"11","key":"2023011112244680200_bib24","doi-asserted-by":"crossref","first-page":"3723","DOI":"10.1007\/s00500-018-3033-0","article-title":"A predictive strategy based on special points for evolutionary dynamic multi-objective optimization","volume":"23","author":"Li","year":"2019","journal-title":"Soft Computing"},{"issue":"3","key":"2023011112244680200_bib25","doi-asserted-by":"crossref","first-page":"1602","DOI":"10.1109\/TCYB.2020.2986600","article-title":"A dynamic multiobjective evolutionary algorithm based on decision variable classification","volume":"52","author":"Liang","year":"2022","journal-title":"IEEE Transactions on Cybernetics"},{"key":"2023011112244680200_bib26","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1109\/FSKD.2016.7603180","article-title":"A dynamic evolutionary multi-objective optimization algorithm based on decomposition and adaptive diversity introduction","volume-title":"Proceedings of the 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","author":"Liu","year":"2016"},{"issue":"2","key":"2023011112244680200_bib27","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1109\/TEVC.2015.2455812","article-title":"A multiobjective evolutionary algorithm based on decision variable analyses for multiobjective optimization problems with large-scale variables","volume":"20","author":"Ma","year":"2016","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"2","key":"2023011112244680200_bib28","first-page":"13:1","article-title":"A competitive divide-and-conquer algorithm for unconstrained large-scale black-box optimization","volume":"42","author":"Mei","year":"2016","journal-title":"ACM\u00a0Transactions on Mathematical Software"},{"issue":"12","key":"2023011112244680200_bib29","doi-asserted-by":"crossref","first-page":"2862","DOI":"10.1109\/TCYB.2015.2490738","article-title":"Evolutionary dynamic multiobjective optimization via Kalman filter prediction","volume":"46","author":"Muruganantham","year":"2016","journal-title":"IEEE Transactions on Cybernetics"},{"key":"2023011112244680200_bib30","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.adhoc.2013.08.017","article-title":"An intrusion detection & adaptive response mechanism for manets","volume":"13","author":"Nadeem","year":"2014","journal-title":"Ad Hoc Networks"},{"issue":"9","key":"2023011112244680200_bib31","doi-asserted-by":"crossref","first-page":"2633","DOI":"10.1007\/s00500-014-1433-3","article-title":"Novel prediction and memory strategies for dynamic multiobjective optimization","volume":"19","author":"Peng","year":"2015","journal-title":"Soft Computing"},{"issue":"1","key":"2023011112244680200_bib32","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1093\/jcde\/qwab065","article-title":"Multi-objective equilibrium optimizer: Framework and development for solving multi-objective optimization problems","volume":"9","author":"Premkumar","year":"2021","journal-title":"Journal of Computational Design and Engineering"},{"issue":"13","key":"2023011112244680200_bib33","doi-asserted-by":"crossref","first-page":"3781","DOI":"10.1007\/s00500-016-2370-0","article-title":"A micro-cloning dynamic multiobjective algorithm with an adaptive change reaction strategy","volume":"21","author":"Qian","year":"2017","journal-title":"Soft Computing"},{"issue":"9","key":"2023011112244680200_bib34","doi-asserted-by":"crossref","first-page":"3362","DOI":"10.1109\/TCYB.2018.2842158","article-title":"Multidirectional prediction approach for dynamic multiobjective optimization problems","volume":"49","author":"Rong","year":"2019","journal-title":"IEEE Transactions on Cybernetics"},{"key":"2023011112244680200_bib35","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1016\/j.asoc.2017.05.008","article-title":"The effect of diversity maintenance on prediction in dynamic multi-objective optimization","volume":"58","author":"Ruan","year":"2017","journal-title":"Applied Soft Computing"},{"issue":"8","key":"2023011112244680200_bib36","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1017\/S026357471800156X","article-title":"Evolutionary algorithms-based multi-objective optimal mobile robot trajectory planning","volume":"37","author":"Sathiya","year":"2019","journal-title":"Robotica"},{"key":"2023011112244680200_bib37","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1007\/3-540-36970-8_9","article-title":"Covering Pareto sets by multilevel evolutionary subdivision techniques","volume-title":"Evolutionary Multi-Criterion Optimization","author":"Schutze","year":"2003"},{"key":"2023011112244680200_bib38","first-page":"846","article-title":"Clonal selection algorithm for dynamic multiobjective optimization","volume-title":"Proceedings of the 2005 International Conference on Computational Intelligence and Security, CIS 2005, Part I","author":"Shang","year":"2005"},{"issue":"4","key":"2023011112244680200_bib39","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1007\/s00500-013-1085-8","article-title":"Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization","volume":"18","author":"Shang","year":"2014","journal-title":"Soft Computing"},{"issue":"2","key":"2023011112244680200_bib40","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1093\/jcde\/qwac009","article-title":"An agent-based blackboard system for multi-objective optimization","volume":"9","author":"Stewart","year":"2022","journal-title":"Journal of Computational Design and Engineering"},{"issue":"2","key":"2023011112244680200_bib41","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1109\/TEVC.2018.2791283","article-title":"IGD indicator-based evolutionary algorithm for many-objective optimization problems","volume":"23","author":"Sun","year":"2018","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2023011112244680200_bib42","doi-asserted-by":"crossref","first-page":"57757","DOI":"10.1109\/ACCESS.2021.3070634","article-title":"A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems","volume":"9","author":"Verma","year":"2021","journal-title":"IEEE Access"},{"issue":"2","key":"2023011112244680200_bib44","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1109\/TCYB.2017.2780274","article-title":"Improving metaheuristic algorithms with information feedback models","volume":"49","author":"Wang","year":"2019","journal-title":"IEEE Transactions on Cybernetics"},{"key":"2023011112244680200_bib43","doi-asserted-by":"crossref","first-page":"100695","DOI":"10.1016\/j.swevo.2020.100695","article-title":"A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization","volume":"56","author":"Wang","year":"2020","journal-title":"Swarm and Evolutionary Computation"},{"key":"2023011112244680200_bib45","article-title":"Multi-objective optimization for resource allocation in vehicular cloud computing networks","author":"Wei","year":"2021","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"issue":"11","key":"2023011112244680200_bib46","doi-asserted-by":"crossref","first-page":"3221","DOI":"10.1007\/s00500-014-1477-4","article-title":"A directed search strategy for evolutionary dynamic multiobjective optimization","volume":"19","author":"Wu","year":"2015","journal-title":"Soft Computing"},{"issue":"15","key":"2023011112244680200_bib48","doi-asserted-by":"crossref","first-page":"2985","DOI":"10.1016\/j.ins.2008.02.017","article-title":"Large scale evolutionary optimization using cooperative coevolution","volume":"178","author":"Yang","year":"2008","journal-title":"Information Sciences"},{"key":"2023011112244680200_bib47","first-page":"1782","article-title":"Differential evolution based on hybrid crossover operators","volume-title":"Proceedings of the International Conference on Graphic and Image Processing (ICGIP 2011)","author":"Yang","year":"2011"},{"issue":"2","key":"2023011112244680200_bib52","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1016\/j.asoc.2007.07.005","article-title":"Multiobjective optimization immune algorithm in dynamic environments and its application to greenhouse control","volume":"8","author":"Zhang","year":"2008","journal-title":"Applied Soft Computing"},{"issue":"7","key":"2023011112244680200_bib53","doi-asserted-by":"crossref","first-page":"1333","DOI":"10.1007\/s00500-010-0674-z","article-title":"Artificial immune system in dynamic environments solving time-varying non-linear constrained multi-objective problems","volume":"15","author":"Zhang","year":"2011","journal-title":"Soft Computing"},{"key":"2023011112244680200_bib51","doi-asserted-by":"crossref","first-page":"103905","DOI":"10.1016\/j.engappai.2020.103905","article-title":"A modified particle swarm optimization for multimodal multi-objective optimization","volume":"95","author":"Zhang","year":"2020","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"1","key":"2023011112244680200_bib50","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1109\/TEVC.2016.2600642","article-title":"A decision variable clustering-based evolutionary algorithm for large-scale many-objective optimization","volume":"22","author":"Zhang","year":"2018","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"2023011112244680200_bib49","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 Transactions on Evolutionary Computation"},{"issue":"2","key":"2023011112244680200_bib54","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1007\/s10489-018-1263-6","article-title":"An improved adaptive NSGA-II with multi-population algorithm","volume":"49","author":"Zhao","year":"2019","journal-title":"Applied Intelligence"},{"issue":"9","key":"2023011112244680200_bib56","first-page":"1816","article-title":"A prediction strategy based on guide-individual for dynamic multi-objective optimization","volume":"43","author":"Zheng","year":"2015","journal-title":"Acta Electonica Sinica"},{"key":"2023011112244680200_bib55","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1016\/j.asoc.2016.09.032","article-title":"On decomposition methods in interactive user-preference based optimization","volume":"52","author":"Zheng","year":"2017","journal-title":"Applied Soft Computing"},{"key":"2023011112244680200_bib57","first-page":"832","article-title":"Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization","volume-title":"Proceedings of the 2007 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007","author":"Zhou","year":"2007"},{"issue":"1","key":"2023011112244680200_bib58","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/TCYB.2013.2245892","article-title":"A population prediction strategy for evolutionary dynamic multiobjective optimization","volume":"44","author":"Zhou","year":"2013","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"1","key":"2023011112244680200_bib59","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/TCYB.2013.2245892","article-title":"A population prediction strategy for evolutionary dynamic multiobjective optimization","volume":"44","author":"Zhou","year":"2014","journal-title":"IEEE Transactions on Cybernatics"},{"issue":"2","key":"2023011112244680200_bib60","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1109\/TEVC.2017.2704782","article-title":"A framework for large-scale multiobjective optimization based on problem transformation","volume":"22","author":"Zille","year":"2018","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2023011112244680200_bib62","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1016\/j.asoc.2017.08.004","article-title":"A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization","volume":"61","author":"Zou","year":"2017","journal-title":"Applied Soft Computing"},{"key":"2023011112244680200_bib61","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.ins.2019.09.016","article-title":"A knee-guided prediction approach for dynamic multi-objective optimization","volume":"509","author":"Zou","year":"2020","journal-title":"Information Sciences"}],"container-title":["Journal of Computational Design and Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/jcde\/advance-article-pdf\/doi\/10.1093\/jcde\/qwac124\/47267017\/qwac124.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jcde\/article-pdf\/10\/1\/1\/48613250\/qwac124.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jcde\/article-pdf\/10\/1\/1\/48613250\/qwac124.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T16:41:59Z","timestamp":1673455319000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jcde\/article\/10\/1\/1\/6847216"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,25]]},"references-count":62,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1,11]]}},"URL":"https:\/\/doi.org\/10.1093\/jcde\/qwac124","relation":{},"ISSN":["2288-5048"],"issn-type":[{"value":"2288-5048","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,2]]},"published":{"date-parts":[[2022,11,25]]}}}