{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T03:44:32Z","timestamp":1782445472849,"version":"3.54.5"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1016\/j.ins.2022.07.183","type":"journal-article","created":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T16:59:48Z","timestamp":1659977988000},"page":"651-673","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":56,"special_numbering":"C","title":["A binary individual search strategy-based bi-objective evolutionary algorithm for high-dimensional feature selection"],"prefix":"10.1016","volume":"610","author":[{"given":"Tao","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi-Hui","family":"Zhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiu-Cheng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan-Yuan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.ins.2022.07.183_b0005","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1109\/MIS.2017.38","article-title":"Challenges of feature selection for big data analytics","volume":"32","author":"Li","year":"2017","journal-title":"IEEE Intell. Syst."},{"issue":"3","key":"10.1016\/j.ins.2022.07.183_b0010","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1109\/LCSYS.2020.3006428","article-title":"Distributed feature selection for multi-class classification using admm","volume":"5","author":"Jung","year":"2021","journal-title":"IEEE Control Syst. Lett."},{"key":"10.1016\/j.ins.2022.07.183_b0015","doi-asserted-by":"crossref","first-page":"1591","DOI":"10.1007\/s00521-015-2110-x","article-title":"Adaptation of reproducing kernel algorithm for solving fuzzy fredholm-volterra integrodifferential equations","volume":"28","author":"Arqub","year":"2017","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.ins.2022.07.183_b0020","first-page":"1","article-title":"Evolutionary dual-ensemble class imbalance learning for human activity recognition","author":"Guo","year":"2021","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"issue":"5324","key":"10.1016\/j.ins.2022.07.183_b0025","article-title":"Feature selection with kernelized multi-class support vector machine","volume":"117","author":"Guo","year":"2021","journal-title":"Pattern Recogn."},{"issue":"23","key":"10.1016\/j.ins.2022.07.183_b0030","doi-asserted-by":"crossref","first-page":"7191","DOI":"10.1007\/s00500-016-2262-3","article-title":"Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems","volume":"21","author":"Arqub","year":"2017","journal-title":"Soft. Comput."},{"key":"10.1016\/j.ins.2022.07.183_b0035","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.ins.2021.02.061","article-title":"A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm","volume":"565","author":"Ot","year":"2021","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2022.07.183_b0040","first-page":"1","article-title":"Two-stage data-driven evolutionary optimization for high-dimensional expensive problems","author":"Zhen","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.ins.2022.07.183_b0045","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.ins.2014.03.128","article-title":"Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm","volume":"279","author":"Arqub","year":"2014","journal-title":"Inf. Sci."},{"issue":"16","key":"10.1016\/j.ins.2022.07.183_b0050","doi-asserted-by":"crossref","first-page":"12501","DOI":"10.1007\/s00500-020-04687-0","article-title":"Fuzzy conformable fractional differential equations: novel extended approach and new numerical solutions","volume":"24","author":"Arqub","year":"2020","journal-title":"Soft. Comput."},{"issue":"1","key":"10.1016\/j.ins.2022.07.183_b0055","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s10462-021-10042-y","article-title":"A survey on evolutionary computation for complex continuous optimization","volume":"55","author":"Zhan","year":"2022","journal-title":"Artif. Intell. Rev."},{"issue":"4","key":"10.1016\/j.ins.2022.07.183_b0060","doi-asserted-by":"crossref","first-page":"750","DOI":"10.1109\/TEVC.2019.2951217","article-title":"Novel interactive preference-based multi-objective evolutionary optimization for bolt supporting networks","volume":"24","author":"Guo","year":"2020","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.ins.2022.07.183_b0065","first-page":"1","article-title":"Q-learning-based hyperheuristic evolutionary algorithm for dynamic task allocation of crowdsensing","author":"Ji","year":"2021","journal-title":"IEEE Trans. Cybern."},{"issue":"3","key":"10.1016\/j.ins.2022.07.183_b0070","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1109\/TEVC.2021.3051608","article-title":"Safe: Scale-adaptive fitness evaluation method for expensive optimization problems","volume":"25","author":"Wu","year":"2021","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.ins.2022.07.183_b0075","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.ins.2018.12.030","article-title":"Differential mutation and novel social learning particle swarm optimization algorithm","volume":"480","author":"Zhang","year":"2018","journal-title":"Inf. Sci."},{"issue":"12","key":"10.1016\/j.ins.2022.07.183_b0080","doi-asserted-by":"crossref","first-page":"4483","DOI":"10.1007\/s00500-018-3113-1","article-title":"Efficient and merged biogeography-based optimization algorithm for global optimization problems","volume":"23","author":"Zhang","year":"2019","journal-title":"Soft. Comput."},{"key":"10.1016\/j.ins.2022.07.183_b0085","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2020.100663","article-title":"A survey on swarm intelligence approaches to feature selection in data mining","volume":"54","author":"Nguyen","year":"2020","journal-title":"Swarm Evol. Comput."},{"issue":"6","key":"10.1016\/j.ins.2022.07.183_b0090","doi-asserted-by":"crossref","first-page":"1656","DOI":"10.1109\/TSMCB.2012.2227469","article-title":"Particle swarm optimization for feature selection in classification: A multi-objective approach","volume":"43","author":"Xue","year":"2013","journal-title":"IEEE Trans. Cybern."},{"issue":"1","key":"10.1016\/j.ins.2022.07.183_b0095","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/S1665-6423(15)30013-4","article-title":"Multi-objective feature subset selection using non-dominated sorting genetic algorithm","volume":"13","author":"Khan","year":"2015","journal-title":"J. Appl. Res. Technol."},{"key":"10.1016\/j.ins.2022.07.183_b0100","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.patrec.2017.01.004","article-title":"Feature weighting and selection with a pareto-optimal trade-off between relevancy and redundancy","volume":"88","author":"Ayan","year":"2017","journal-title":"Pattern Recogn. Lett."},{"issue":"1","key":"10.1016\/j.ins.2022.07.183_b0105","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1109\/TCBB.2015.2476796","article-title":"Multi-objective particle swarm optimization approach for cost-based feature selection in classification","volume":"14","author":"Zhang","year":"2017","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinf."},{"key":"10.1016\/j.ins.2022.07.183_b0110","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.ins.2019.08.040","article-title":"Binary differential evolution with self-learning for multi-objective feature selection","volume":"507","author":"Zhang","year":"2020","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2022.07.183_b0115","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.ins.2020.05.004","article-title":"Many-objective optimization of feature selection based on two-level particle cooperation","volume":"532","author":"Zhou","year":"2020","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2022.07.183_b0120","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12293-021-00328-7","article-title":"Mlfs-ccde: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution","volume":"13","author":"Li","year":"2021","journal-title":"Memetic Comput."},{"issue":"1","key":"10.1016\/j.ins.2022.07.183_b0125","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1109\/TFUZZ.2020.2989098","article-title":"Feature selection using fuzzy neighborhood entropy-based uncertainty measures for fuzzy neighborhood multigranulation rough sets","volume":"29","author":"Sun","year":"2021","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"2","key":"10.1016\/j.ins.2022.07.183_b0130","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":"2","key":"10.1016\/j.ins.2022.07.183_b0135","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1109\/TEVC.2014.2308305","article-title":"An efficient approach to nondominated sorting for evolutionary multiobjective optimization","volume":"19","author":"Zhang","year":"2015","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.ins.2022.07.183_b0140","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.asoc.2017.12.048","article-title":"A novel hybrid genetic algorithm with granular information for feature selection and optimization","volume":"65","author":"Dong","year":"2018","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2022.07.183_b0145","first-page":"1","article-title":"Deluge based genetic algorithm for feature selection","author":"Guha","year":"2019","journal-title":"Evol. Intel."},{"issue":"11","key":"10.1016\/j.ins.2022.07.183_b0150","doi-asserted-by":"crossref","first-page":"4633","DOI":"10.1109\/TCYB.2019.2944873","article-title":"Adaptive distributed differential evolution","volume":"50","author":"Zhan","year":"2020","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.ins.2022.07.183_b0155","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2017.09.044","article-title":"A tri-objective differential evolution approach for multimodal optimization","volume":"423","author":"Yu","year":"2018","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2022.07.183_b0160","doi-asserted-by":"crossref","unstructured":"Z.J. Wang, J.R. Jian, Z.H. Zhan, Y. Li, S. Kwong, J. Zhang, Gene targeting differential evolution: A simple and efficient method for large scale optimization, IEEE Trans. Evol. Comput. doi:10.1109\/TEVC.2022.3185665.","DOI":"10.1109\/TEVC.2022.3185665"},{"key":"10.1016\/j.ins.2022.07.183_b0165","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.knosys.2018.06.025","article-title":"An improved feature selection algorithm based on graph clustering and ant colony optimization","volume":"159","author":"Ghimatgar","year":"2018","journal-title":"Knowl.-Based Syst."},{"issue":"9","key":"10.1016\/j.ins.2022.07.183_b0170","doi-asserted-by":"crossref","first-page":"4053","DOI":"10.1109\/TCYB.2019.2922266","article-title":"Ant colony optimization for the control of pollutant spreading on social networks","volume":"50","author":"Chen","year":"2020","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.ins.2022.07.183_b0175","doi-asserted-by":"crossref","first-page":"2889","DOI":"10.1007\/s10489-019-01420-9","article-title":"A filter-based bare-bone particle swarm optimization algorithm for unsupervised feature selection","volume":"49","author":"Zhang","year":"2019","journal-title":"Appl. Intell."},{"issue":"8","key":"10.1016\/j.ins.2022.07.183_b0180","first-page":"1","article-title":"Variable-size cooperative coevolutionary particle swarm optimization for feature selection on high-dimensional data","volume":"14","author":"Song","year":"2020","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"10.1016\/j.ins.2022.07.183_b0185","doi-asserted-by":"crossref","first-page":"133","DOI":"10.3233\/IDA-173740","article-title":"Ant colony optimization for text feature selection in sentiment analysis","volume":"23","author":"Ahmad","year":"2019","journal-title":"Intell. Data Anal."},{"issue":"4","key":"10.1016\/j.ins.2022.07.183_b0190","doi-asserted-by":"crossref","first-page":"2929","DOI":"10.1007\/s00521-020-04744-7","article-title":"New filter approaches for feature selection using differential evolution and fuzzy rough set theory","volume":"32","author":"Hancer","year":"2020","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.ins.2022.07.183_b0195","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.asoc.2017.04.042","article-title":"A tribe competition-based genetic algorithm for feature selection in pattern classification","volume":"58","author":"Ma","year":"2017","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2022.07.183_b0200","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.knosys.2017.02.013","article-title":"Ensemble feature selection using bi-objective genetic algorithm","volume":"123","author":"Das","year":"2017","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.ins.2022.07.183_b0205","doi-asserted-by":"crossref","unstructured":"P. Wang, B. Xue, J. Liang, M. Zhang, Differential evolution based feature selection: A niching-based multi-objective approach, IEEE Trans. Evol. Comput. doi:10.1109\/TEVC.2022.3168052.","DOI":"10.1109\/TEVC.2022.3168052"},{"key":"10.1016\/j.ins.2022.07.183_b0210","first-page":"1","article-title":"A particle swarm optimization based multiobjective memetic algorithm for high-dimensional feature selection","author":"Luo","year":"2022","journal-title":"Memetic Comput."},{"issue":"2","key":"10.1016\/j.ins.2022.07.183_b0215","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1109\/TEVC.2015.2444793","article-title":"Average convergence rate of evolutionary algorithms","volume":"20","author":"He","year":"2016","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"10.1016\/j.ins.2022.07.183_b0220","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1109\/TCYB.2017.2714145","article-title":"A new representation in pso for discretization-based feature selection","volume":"48","author":"Tran","year":"2018","journal-title":"IEEE Trans. Cybern."},{"issue":"3","key":"10.1016\/j.ins.2022.07.183_b0225","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1109\/TEVC.2018.2869405","article-title":"Variable-length particle swarm optimization for feature selection on high-dimensional classification","volume":"23","author":"Tran","year":"2019","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.ins.2022.07.183_b0230","doi-asserted-by":"crossref","first-page":"24109","DOI":"10.1109\/ACCESS.2019.2900078","article-title":"Binary differential evolution based on individual entropy for feature subset optimization","volume":"7","author":"Li","year":"2019","journal-title":"IEEE Access"},{"key":"10.1016\/j.ins.2022.07.183_b0235","doi-asserted-by":"crossref","unstructured":"T.M. Hamdani, J.M. Won, A.M. Alimi, F. Karray, Multi-objective feature selection with nsga ii, in: International Conference on Adaptive and Natural Computing Algorithms, 2007, pp. 240\u2013247.","DOI":"10.1007\/978-3-540-71618-1_27"},{"key":"10.1016\/j.ins.2022.07.183_b0240","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1016\/j.ins.2020.08.083","article-title":"A problem-specific non-dominated sorting genetic algorithm for supervised feature selection","volume":"547","author":"Zhou","year":"2021","journal-title":"Inf. Sci."},{"issue":"1","key":"10.1016\/j.ins.2022.07.183_b0245","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/TEVC.2005.851275","article-title":"A faster algorithm for calculating hypervolume","volume":"10","author":"While","year":"2006","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.ins.2022.07.183_b0250","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/4235.797969","article-title":"Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach","volume":"3","author":"Zitzler","year":"1999","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0020025522008787?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0020025522008787?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T05:50:53Z","timestamp":1758088253000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025522008787"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":50,"alternative-id":["S0020025522008787"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.ins.2022.07.183","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2022,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A binary individual search strategy-based bi-objective evolutionary algorithm for high-dimensional feature selection","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.ins.2022.07.183","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}