{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T23:56:35Z","timestamp":1740182195662,"version":"3.37.3"},"reference-count":63,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T00:00:00Z","timestamp":1665705600000},"content-version":"vor","delay-in-days":13,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,20]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>There are many complex optimization problems in the real world, and various evolutionary algorithms are proposed to solve them. Recently, the many-objective evolutionary algorithm using a one-by-one selection strategy (1by1EA) adopts a convergence indicator and a distribution indicator to balance convergence and diversity. However, the algorithm is too random in initialization and the fitness evaluation of solutions in the mating selection is single, which leads to poor performance in solving large-scale problems. Therefore, this paper proposes an improved method called 1by1EA-CHV by using circle chaotic mapping and a solution ranking mechanism based on the hypervolume (HV) indicator. We first map each component of solutions into a certain value space to initialize the population. Then, we calculate the contribution of each partition divided based on HV and apply the aggregation method to guide the reallocation of fitness, which achieves the ranking of solutions by using it before the old calculation method. To validate the performance, experiments compared 1by1EA-CHV with 1by1EA and other seven many-objective algorithms on large-scale functions, and the differences between these algorithms were analyzed statistically by a non-parametric test. The results showed the superiority of 1by1EA-CHV in solving large-scale many-objective optimization problems with up to 2000 decision variables.<\/jats:p>","DOI":"10.1093\/jcde\/qwac090","type":"journal-article","created":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T22:07:36Z","timestamp":1665785256000},"page":"1974-1994","source":"Crossref","is-referenced-by-count":4,"title":["An enhancing many-objective evolutionary algorithm using chaotic mapping and solution ranking mechanism for large-scale optimization"],"prefix":"10.1093","volume":"9","author":[{"given":"Yong","family":"Wang","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Ocean University of China , Qingdao 266100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7269-9031","authenticated-orcid":false,"given":"Qian","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Ocean University of China , Qingdao 266100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gai-Ge","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Ocean University of China , Qingdao 266100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongyi","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University , Wenzhou, Zhejiang 325035, China"},{"name":"Key Laboratory of Intelligent Image Processing and Analysis , Wenzhou 325035, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,10,14]]},"reference":[{"key":"2022102014392103400_bib1","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":"Evolutionary Computation"},{"key":"2022102014392103400_bib2","doi-asserted-by":"crossref","first-page":"1284","DOI":"10.1109\/JAS.2022.105695","article-title":"Self-adaptive bat algorithm with genetic operations","volume":"9","author":"Bi","year":"2022","journal-title":"IEEE\/CAA Journal of Automatica Sinica"},{"key":"2022102014392103400_bib3","doi-asserted-by":"crossref","first-page":"9645","DOI":"10.1109\/JIOT.2020.3040019","article-title":"A multi-cloud-model-based many-objective intelligent algorithm for efficient task scheduling in internet of things","volume":"8","author":"Cai","year":"2020","journal-title":"IEEE Internet of Things Journal"},{"key":"2022102014392103400_bib4","doi-asserted-by":"crossref","first-page":"18249","DOI":"10.1007\/s00500-020-05088-z","article-title":"Weight convergence analysis of DV-hop localization algorithm with gA","volume":"24","author":"Cai","year":"2020","journal-title":"Soft Computing"},{"key":"2022102014392103400_bib5","doi-asserted-by":"crossref","first-page":"4108","DOI":"10.1109\/TCYB.2016.2600577","article-title":"Test problems for large-scale multi-objective and many-objective optimization","volume":"47","author":"Cheng","year":"2016","journal-title":"IEEE Transactions on Cybernetics"},{"key":"2022102014392103400_bib6","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s10710-005-6164-x","article-title":"Solving multi-objective optimization problems using an artificial immune system","volume":"6","author":"Coello","year":"2005","journal-title":"Genetic Programming and Evolvable Machines"},{"key":"2022102014392103400_bib7","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.jpdc.2017.12.014","article-title":"Optimal leach protocol with modified bat algorithm for big data sensing systems in internet of things","volume":"132","author":"Cui","year":"2019","journal-title":"Journal of Parallel and Distributed Computing"},{"key":"2022102014392103400_bib8","doi-asserted-by":"crossref","first-page":"e6040","DOI":"10.1002\/cpe.6040","article-title":"A hybrid many-objective optimization algorithm for coal green production problem","volume":"33","author":"Cui","year":"2021","journal-title":"Concurrency and Computation: Practice and Experience"},{"key":"2022102014392103400_bib9","doi-asserted-by":"crossref","first-page":"291","DOI":"10.23919\/CSMS.2021.0023","article-title":"Novel PIO algorithm with multiple selection strategies for many-objective optimization problems","volume":"1","author":"Cui","year":"2021","journal-title":"Complex System Modeling and Simulation"},{"key":"2022102014392103400_bib10","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","article-title":"An evolutionary many-objective optimization algorithm using reference-point-based non-dominated sorting approach, part I: Solving problems with box constraints","volume":"18","author":"Deb","year":"2013","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib12","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multi-objective genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib11","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1162\/106365605774666895","article-title":"Evaluating the \u03b5-domination based multi-objective evolutionary algorithm for a quick computation of Pareto-optimal solutions","volume":"13","author":"Deb","year":"2005","journal-title":"Evolutionary Computation"},{"key":"2022102014392103400_bib13","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1109\/TSMC.2017.2654301","article-title":"A new decomposition-based NSGA-II for many-objective optimization","volume":"48","author":"Elarbi","year":"2018","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"2022102014392103400_bib14","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"},{"key":"2022102014392103400_bib15","doi-asserted-by":"crossref","first-page":"15","DOI":"10.23919\/CSMS.2021.0002","article-title":"Nonlinear equations solving with intelligent optimization algorithms: A survey","volume":"1","author":"Gong","year":"2021","journal-title":"Complex System Modeling and Simulation"},{"key":"2022102014392103400_bib16","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1109\/TSMC.2020.3003926","article-title":"Adaptive offspring generation for evolutionary large-scale multi-objective optimization","volume":"52","author":"He","year":"2020","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"2022102014392103400_bib17","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1145\/2739480.2754776","article-title":"Improved meta-heuristic based on the R2 indicator for many-objective optimization","volume-title":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","author":"Hern\u00e1ndez\u00a0G\u00f3mez","year":"2015"},{"key":"2022102014392103400_bib18","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/ICEC.1994.350037","article-title":"A niched Pareto genetic algorithm for multi-objective optimization","volume-title":"Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence","author":"Horn","year":"1994"},{"key":"2022102014392103400_bib19","first-page":"442","article-title":"A many-objective particle swarm optimization algorithm based on multiple criteria for hybrid recommendation system","volume":"15","author":"Hu","year":"2021","journal-title":"KSII Transactions on Internet and Information Systems"},{"key":"2022102014392103400_bib20","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/JAS.2021.1003817","article-title":"A survey of evolutionary algorithms for multi-objective optimization problems with irregular Pareto fronts","volume":"8","author":"Hua","year":"2021","journal-title":"IEEE\/CAA Journal of Automatica Sinica"},{"key":"2022102014392103400_bib21","doi-asserted-by":"crossref","first-page":"1562","DOI":"10.1093\/jcde\/qwab061","article-title":"Design synthesis and optimization of a 4-SPS intrinsically compliant parallel wrist rehabilitation robotic orthosis","volume":"8","author":"Hussain","year":"2021","journal-title":"Journal of Computational Design and Engineering"},{"key":"2022102014392103400_bib22","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1093\/jcde\/qwab009","article-title":"A novel particle swarm optimization-based grey model for the prediction of warehouse performance","volume":"8","author":"Islam","year":"2021","journal-title":"Journal of Computational Design and Engineering"},{"key":"2022102014392103400_bib23","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1007\/978-3-540-31880-4_28","article-title":"Fuzzy-Pareto-dominance and its application in evolutionary multi-objective optimization","author":"K\u00f6ppen","year":"2005","journal-title":"International Conference on Evolutionary Multi-Criterion Optimization"},{"key":"2022102014392103400_bib24","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1093\/jcde\/qwac040","article-title":"HFMOEA: A hybrid framework for multi-objective feature selection","volume":"9","author":"Kundu","year":"2022","journal-title":"Journal of Computational Design and Engineering"},{"key":"2022102014392103400_bib25","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1504\/IJAISC.2020.113480","article-title":"Scheduling energy storage unit with GWO for smart home integrated with renewable energy","volume":"7","author":"Lakshminarayanan","year":"2020","journal-title":"International Journal of Artificial Intelligence and Soft Computing"},{"key":"2022102014392103400_bib26","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/TEVC.2008.925798","article-title":"Multi-objective optimization problems with complicated Pareto sets, MOEA\/D and NSGA-II","volume":"13","author":"Li","year":"2008","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib27","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.jmsy.2020.12.004","article-title":"Partition-based five-axis tool path generation for freeform surface machining using a non-spherical tool","volume":"58","author":"Li","year":"2021","journal-title":"Journal of Manufacturing Systems"},{"key":"2022102014392103400_bib28","doi-asserted-by":"crossref","first-page":"2689","DOI":"10.1109\/TCYB.2016.2638902","article-title":"A many-objective evolutionary algorithm using a one-by-one selection strategy","volume":"47","author":"Liu","year":"2017","journal-title":"IEEE Transactions on Cybernetics"},{"key":"2022102014392103400_bib29","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.ins.2018.06.063","article-title":"AnD: A many-objective evolutionary algorithm with angle-based selection and shift-based density estimation","volume":"509","author":"Liu","year":"2020","journal-title":"Information Sciences"},{"key":"2022102014392103400_bib30","doi-asserted-by":"crossref","first-page":"145","DOI":"10.23919\/CSMS.2021.0011","article-title":"Multi-robot indoor environment map building based on multi-stage optimization method","volume":"1","author":"Lu","year":"2021","journal-title":"Complex System Modeling and Simulation"},{"key":"2022102014392103400_bib31","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1504\/IJAISC.2019.105020","article-title":"Segmenting ECG and MRI data using ant colony optimisation","volume":"7","author":"Roopa","year":"2019","journal-title":"International Journal of Artificial Intelligence and Soft Computing"},{"key":"2022102014392103400_bib32","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1109\/TEVC.2011.2161872","article-title":"Using the averaged Hausdorff distance as a performance measure in evolutionary multi-objective optimization","volume":"16","author":"Schutze","year":"2012","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib33","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1504\/IJAISC.2020.113498","article-title":"A novel improved cuckoo optimisation algorithm for engineering optimisation","volume":"7","author":"Shadkam","year":"2020","journal-title":"International Journal of Artificial Intelligence and Soft Computing"},{"key":"2022102014392103400_bib34","doi-asserted-by":"crossref","first-page":"3555","DOI":"10.1109\/JSAC.2021.3088720","article-title":"Time and energy minimization communications based on collaborative beamforming for UAV networks: A multi-objective optimization method","volume":"39","author":"Sun","year":"2021","journal-title":"IEEE Journal on Selected Areas in Communications"},{"key":"2022102014392103400_bib36","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1109\/TMC.2019.2955948","article-title":"Energy efficient collaborative beamforming for reducing sidelobe in wireless sensor networks","volume":"20","author":"Sun","year":"2021","journal-title":"IEEE Transactions on Mobile Computing"},{"key":"2022102014392103400_bib37","doi-asserted-by":"crossref","first-page":"2660","DOI":"10.1109\/COMST.2021.3108466","article-title":"Applications of game theory in vehicular networks: A survey","volume":"23","author":"Sun","year":"2021","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"2022102014392103400_bib35","doi-asserted-by":"crossref","DOI":"10.1109\/TCOMM.2022.3184160","article-title":"Secure and energy-efficient UAV relay communications exploiting collaborative beamforming","author":"Sun","year":"2022","journal-title":"IEEE Transactions on Communications"},{"key":"2022102014392103400_bib38","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1504\/IJAISC.2017.084578","article-title":"A self-organised routing algorithm for cognitive radio-based wireless sensor networks using biologically-inspired method","volume":"6","author":"Thakare","year":"2017","journal-title":"International Journal of Artificial Intelligence and Soft Computing"},{"key":"2022102014392103400_bib40","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1109\/TEVC.2019.2918140","article-title":"An evolutionary algorithm for large-scale sparse multi-objective optimization problems","volume":"24","author":"Tian","year":"2019","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib39","first-page":"1","article-title":"Evolutionary large-scale multi-objective optimization: A survey","volume":"54","author":"Tian","year":"2021","journal-title":"ACM Computing Surveys"},{"key":"2022102014392103400_bib41","doi-asserted-by":"crossref","first-page":"1885","DOI":"10.1007\/s11071-021-06675-x","article-title":"An image encryption scheme based on an optimal chaotic map derived by multi-objective optimization using ABC algorithm","volume":"105","author":"Toktas","year":"2021","journal-title":"Nonlinear Dynamics"},{"key":"2022102014392103400_bib46","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1109\/JAS.2019.1911348","article-title":"Parameter optimization of interval type\u22122 fuzzy neural networks based on PSO and BBBC methods","volume":"6","author":"Wang","year":"2019","journal-title":"IEEE\/CAA Journal of Automatica Sinica"},{"key":"2022102014392103400_bib44","doi-asserted-by":"crossref","first-page":"1995","DOI":"10.1007\/s00521-015-1923-y","article-title":"Monarch butterfly optimization","volume":"31","author":"Wang","year":"2019","journal-title":"Neural Computing and Applications"},{"key":"2022102014392103400_bib42","first-page":"479","article-title":"An estimation of distribution algorithm for mixed-variable newsvendor problems","volume":"24","author":"Wang","year":"2020","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib49","doi-asserted-by":"crossref","first-page":"103230","DOI":"10.1016\/j.artint.2019.103230","article-title":"SCCwalk: An efficient local search algorithm and its improvements for maximum weight clique problem","volume":"280","author":"Wang","year":"2020","journal-title":"Artificial Intelligence"},{"key":"2022102014392103400_bib43","doi-asserted-by":"crossref","first-page":"100808","DOI":"10.1016\/j.swevo.2020.100808","article-title":"A particle swarm optimization algorithm for mixed-variable optimization problems","volume":"60","author":"Wang","year":"2021","journal-title":"Swarm and Evolutionary Computation"},{"key":"2022102014392103400_bib47","doi-asserted-by":"crossref","first-page":"257","DOI":"10.23919\/CSMS.2021.0027","article-title":"A review of reinforcement learning based intelligent optimization for manufacturing scheduling","volume":"1","author":"Wang","year":"2021","journal-title":"Complex System Modeling and Simulation"},{"key":"2022102014392103400_bib45","doi-asserted-by":"crossref","DOI":"10.1109\/TII.2022.3165636","article-title":"Solving multi-objective fuzzy job-shop scheduling problem by a hybrid adaptive differential evolution algorithm","author":"Wang","year":"2022","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"2022102014392103400_bib48","doi-asserted-by":"crossref","first-page":"101083","DOI":"10.1016\/j.swevo.2022.101083","article-title":"A cluster-based competitive particle swarm optimizer with a sparse truncation operator for multi-objective optimization","volume":"71","author":"Wang","year":"2022","journal-title":"Swarm and Evolutionary Computation"},{"key":"2022102014392103400_bib50","doi-asserted-by":"crossref","DOI":"10.1007\/s10489-022-03964-9","article-title":"Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization","author":"Wang","year":"2022","journal-title":"Applied Intelligence"},{"key":"2022102014392103400_bib51","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TEVC.2012.2227145","article-title":"A grid-based evolutionary algorithm for many-objective optimization","volume":"17","author":"Yang","year":"2013","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib53","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.commatsci.2018.03.055","article-title":"Cluster-based niching differential evolution algorithm for optimizing the stable structures of metallic clusters","volume":"149","author":"Yang","year":"2018","journal-title":"Computational Materials Science"},{"key":"2022102014392103400_bib52","article-title":"A fuzzy decision variables framework for large-scale multi-objective optimization","author":"Yang","year":"2021","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib54","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1007\/s12293-017-0247-0","article-title":"CBSO: A memetic brain storm optimization with chaotic local search","volume":"10","author":"Yu","year":"2018","journal-title":"Memetic Computing"},{"key":"2022102014392103400_bib55","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","article-title":"MOEA\/D: A multi-objective evolutionary algorithm based on decomposition","volume":"11","author":"Zhang","year":"2007","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib56","first-page":"1","article-title":"MOEA\/D with NBI-style Tchebycheff approach for portfolio management","author":"Zhang","year":"2010","journal-title":"IEEE Congress on Evolutionary Computation"},{"key":"2022102014392103400_bib58","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1109\/TEVC.2014.2378512","article-title":"A knee point-driven evolutionary algorithm for many-objective optimization","volume":"19","author":"Zhang","year":"2014","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"2022102014392103400_bib57","doi-asserted-by":"crossref","first-page":"176","DOI":"10.23919\/CSMS.2021.0017","article-title":"Multi-direction update-based multi-objective particle swarm optimization for mixed no-idle flow-shop scheduling problem","volume":"1","author":"Zhang","year":"2021","journal-title":"Complex System Modeling and Simulation"},{"key":"2022102014392103400_bib59","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1093\/jcde\/qwac038","article-title":"Opposition-based ant colony optimization with all-dimension neighborhood search for engineering design","volume":"9","author":"Zhao","year":"2022","journal-title":"Journal of Computational Design and Engineering"},{"key":"2022102014392103400_bib60","doi-asserted-by":"crossref","first-page":"3839","DOI":"10.1007\/s10489-018-1183-5","article-title":"An improved MOEA\/D design for many-objective optimization problems","volume":"48","author":"Zheng","year":"2018","journal-title":"Applied Intelligence"},{"key":"2022102014392103400_bib61","first-page":"832","article-title":"Indicator-based selection in multi-objective search","volume-title":"Proceedings of the International Conference on Parallel Problem Solving From Nature","author":"Zitzler","year":"2004"},{"key":"2022102014392103400_bib62","article-title":"SPEA2: Improving the strength Pareto evolutionary algorithm","volume":"103","author":"Zitzler","year":"2001","journal-title":"TIK Report"},{"key":"2022102014392103400_bib63","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/4235.797969","article-title":"Multi-objective evolutionary algorithms: A comparative case study and the strength Pareto approach","volume":"3","author":"Zitzler","year":"1999","journal-title":"IEEE Transactions on Evolutionary Computation"}],"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\/qwac090\/46537394\/qwac090.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jcde\/article-pdf\/9\/5\/1974\/46580780\/qwac090.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jcde\/article-pdf\/9\/5\/1974\/46580780\/qwac090.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,26]],"date-time":"2023-11-26T14:21:44Z","timestamp":1701008504000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jcde\/article\/9\/5\/1974\/6761400"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":63,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,10,20]]}},"URL":"https:\/\/doi.org\/10.1093\/jcde\/qwac090","relation":{},"ISSN":["2288-5048"],"issn-type":[{"type":"electronic","value":"2288-5048"}],"subject":[],"published-other":{"date-parts":[[2022,10]]},"published":{"date-parts":[[2022,10]]}}}