{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T02:39:27Z","timestamp":1784687967580,"version":"3.55.0"},"reference-count":59,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","award":["2021R1I1A3049810"],"award-info":[{"award-number":["2021R1I1A3049810"]}],"id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In this data-driven era, where a large number of attributes are often publicly available, redundancy becomes a major problem, which leads to large storage and computational resource requirement. Feature selection is a method for reducing the dimensionality of the data by removing such redundant or misleading attributes. This leads to a selection of optimal feature subsets that can be used for further computation like the classification of data. Learning algorithms, when fitted on such optimal subsets of reduced dimensions, perform more efficiently and storing data also becomes easier. However, there exists a trade-off between the number of features selected and the accuracy obtained and the requirement for different tasks may vary. Thus, in this paper, a hybrid filter multi-objective evolutionary algorithm (HFMOEA) has been proposed based on the nondominated sorting genetic algorithm (NSGA-II) coupled with filter-based feature ranking methods for population initialization to obtain an optimal trade-off solution set to the problem. The two competing objectives for the algorithm are the minimization of the number of selected features and the maximization of the classification accuracy. The filter ranking methods used for population initialization help in faster convergence of the NSGA-II algorithm to the PF. The proposed HFMOEA method has been evaluated on 18 UCI datasets and 2 deep feature sets (features extracted from image datasets using deep learning models) to justify the viability of the approach with respect to the state-of-the-art. The relevant codes of the proposed approach are available at https:\/\/github.com\/Rohit-Kundu\/HFMOEA.<\/jats:p>","DOI":"10.1093\/jcde\/qwac040","type":"journal-article","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T19:10:14Z","timestamp":1650913814000},"page":"949-965","source":"Crossref","is-referenced-by-count":20,"title":["HFMOEA: a hybrid framework for multi-objective feature selection"],"prefix":"10.1093","volume":"9","author":[{"given":"Rohit","family":"Kundu","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Jadavpur University, Jadavpur, Kolkata 700032, West Bengal, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rammohan","family":"Mallipeddi","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, School of Electronics Engineering, Kyungpook National University, Daegu 41566, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,5,23]]},"reference":[{"key":"2022052311163414200_bib1","first-page":"508","article-title":"The Kendall rank correlation coefficient","volume-title":"Encyclopedia of measurement and statistics","author":"Abdi","year":"2007"},{"key":"2022052311163414200_bib2","doi-asserted-by":"crossref","first-page":"113609","DOI":"10.1016\/j.cma.2020.113609","article-title":"The arithmetic optimization algorithm","volume":"376","author":"Abualigah","year":"2021","journal-title":"Computer Methods in Applied Mechanics and Engineering"},{"key":"2022052311163414200_bib3","doi-asserted-by":"crossref","first-page":"107250","DOI":"10.1016\/j.cie.2021.107250","article-title":"Aquila optimizer: A novel meta-heuristic optimization algorithm","volume":"157","author":"Abualigah","year":"2021","journal-title":"Computers & Industrial Engineering"},{"key":"2022052311163414200_bib4","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1016\/j.eswa.2018.07.013","article-title":"Optimizing multi-objective PSO based feature selection method using a feature elitism mechanism","volume":"113","author":"Amoozegar","year":"2018","journal-title":"Expert Systems with Applications"},{"issue":"17","key":"2022052311163414200_bib5","doi-asserted-by":"crossref","first-page":"18","DOI":"10.5120\/8846-3040","article-title":"Face recognition based on a hybrid meta-heuristic feature selection algorithm","volume":"55","author":"Arivalagan","year":"2012","journal-title":"International Journal of Computer Applications"},{"issue":"5","key":"2022052311163414200_bib6","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s42979-021-00741-2","article-title":"Cervical cytology classification using PCA and GWO enhanced deep features selection","volume":"2","author":"Basak","year":"2021","journal-title":"SN Computer Science"},{"key":"2022052311163414200_bib7","doi-asserted-by":"crossref","first-page":"195929","DOI":"10.1109\/ACCESS.2020.3031718","article-title":"Mayfly in harmony: A new hybrid meta-heuristic feature selection algorithm","volume":"8","author":"Bhattacharyya","year":"2020","journal-title":"IEEE Access"},{"key":"2022052311163414200_bib8","doi-asserted-by":"crossref","first-page":"106839","DOI":"10.1016\/j.csda.2019.106839","article-title":"Benchmark for filter methods for feature selection in high-dimensional classification data","volume":"143","author":"Bommert","year":"2020","journal-title":"Computational Statistics & Data Analysis"},{"issue":"1","key":"2022052311163414200_bib9","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.compeleceng.2013.11.024","article-title":"A survey on feature selection methods","volume":"40","author":"Chandrashekar","year":"2014","journal-title":"Computers & Electrical Engineering"},{"key":"2022052311163414200_bib10","doi-asserted-by":"crossref","DOI":"10.1002\/int.22703","article-title":"Pneumonia detection from lung X-ray images using local search aided sine cosine algorithm based deep feature selection method","author":"Chattopadhyay","year":"2021","journal-title":"International Journal of Intelligent Systems"},{"key":"2022052311163414200_bib11","first-page":"849","article-title":"A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II","volume-title":"International Conference on Parallel Problem Solving from Nature","author":"Deb","year":"2000"},{"key":"2022052311163414200_bib12","doi-asserted-by":"crossref","first-page":"114150","DOI":"10.1016\/j.eswa.2020.114150","article-title":"MOSOA: A new multi-objective seagull optimization algorithm","volume":"167","author":"Dhiman","year":"2021","journal-title":"Expert Systems with Applications"},{"key":"2022052311163414200_bib13","volume-title":"UCI machine learning repository","author":"Dua","year":"2017"},{"key":"2022052311163414200_bib14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/ICEMIS.2016.7745366","article-title":"Review on wrapper feature selection approaches","volume-title":"2016 International Conference on Engineering & MIS (ICEMIS)","author":"El\u00a0Aboudi","year":"2016"},{"key":"2022052311163414200_bib15","doi-asserted-by":"crossref","first-page":"105190","DOI":"10.1016\/j.knosys.2019.105190","article-title":"Equilibrium optimizer: A novel optimization algorithm","volume":"191","author":"Faramarzi","year":"2020","journal-title":"Knowledge-Based Systems"},{"key":"2022052311163414200_bib16","doi-asserted-by":"crossref","first-page":"14637","DOI":"10.1007\/s00500-020-04812-z","article-title":"Red deer algorithm (RDA): A new nature-inspired meta-heuristic","volume":"24","author":"Fathollahi-Fard","year":"2020","journal-title":"Soft Computing"},{"key":"2022052311163414200_bib17","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-00185-7","volume-title":"Music-inspired harmony search algorithm: Theory and applications","author":"Geem","year":"2009"},{"key":"2022052311163414200_bib18","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1007\/978-3-540-71618-1_27","article-title":"Multi-objective feature selection with NSGA II","volume-title":"International Conference on Adaptive and Natural Computing Algorithms","author":"Hamdani","year":"2007"},{"issue":"3","key":"2022052311163414200_bib19","doi-asserted-by":"crossref","first-page":"1531","DOI":"10.1007\/s10489-020-01893-z","article-title":"Archimedes optimization algorithm: A new metaheuristic algorithm for solving optimization problems","volume":"51","author":"Hashim","year":"2021","journal-title":"Applied Intelligence"},{"issue":"1","key":"2022052311163414200_bib20","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","article-title":"Genetic algorithms","volume":"267","author":"Holland","year":"1992","journal-title":"Scientific American"},{"issue":"1","key":"2022052311163414200_bib21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/srep27988","article-title":"Multi-class texture analysis in colorectal cancer histology","volume":"6","author":"Kather","year":"2016","journal-title":"Scientific Reports"},{"key":"2022052311163414200_bib22","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","article-title":"Particle swarm optimization","volume-title":"Proceedings of ICNN\u201995: International Conference on Neural Networks","author":"Kennedy","year":"1995"},{"key":"2022052311163414200_bib23","volume-title":"Labeled optical coherence tomography (OCT) and chest X-ray images for classification","author":"Kermany","year":"2018"},{"key":"2022052311163414200_bib24","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/B978-1-55860-247-2.50037-1","article-title":"A practical approach to feature selection","volume-title":"Machine Learning Proceedings 1992","author":"Kira","year":"1992"},{"key":"2022052311163414200_bib25","first-page":"31","article-title":"ReliefF for estimation and discretization of attributes in classification, regression, and ILP problems","volume-title":"Artificial intelligence: Methodology, systems, applications","author":"Kononenko","year":"1996"},{"key":"2022052311163414200_bib26","doi-asserted-by":"crossref","first-page":"105836","DOI":"10.1016\/j.asoc.2019.105836","article-title":"Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods","volume":"86","author":"Kou","year":"2020","journal-title":"Applied Soft Computing"},{"key":"2022052311163414200_bib27","doi-asserted-by":"crossref","first-page":"105349","DOI":"10.1016\/j.compbiomed.2022.105349","article-title":"AltWOA: Altruistic whale optimization algorithm for feature selection on microarray datasets","volume":"144","author":"Kundu","year":"2022","journal-title":"Computers in Biology and Medicine"},{"key":"2022052311163414200_bib28","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1109\/IJCNN.2005.1556070","article-title":"Feature subset selection via multi-objective genetic algorithm","volume-title":"Proceedings of the 2005 IEEE International Joint Conference on Neural Networks","author":"Lac","year":"2005"},{"key":"2022052311163414200_bib29","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/978-3-540-35488-8_6","article-title":"Embedded methods","volume-title":"Feature extraction","author":"Lal","year":"2006"},{"key":"2022052311163414200_bib30","doi-asserted-by":"crossref","first-page":"104964","DOI":"10.1016\/j.cmpb.2019.06.023","article-title":"A transfer learning method with deep residual network for pediatric pneumonia diagnosis","volume":"187","author":"Liang","year":"2020","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"2022052311163414200_bib31","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.ins.2020.12.082","article-title":"BELIEF: A distance-based redundancy-proof feature selection method for big data","volume":"558","author":"L\u00f3pez","year":"2021","journal-title":"Information Sciences"},{"issue":"4","key":"2022052311163414200_bib32","doi-asserted-by":"crossref","first-page":"4600","DOI":"10.1016\/j.eswa.2010.09.133","article-title":"Feature selection using fuzzy entropy measures with similarity classifier","volume":"38","author":"Luukka","year":"2011","journal-title":"Expert Systems with Applications"},{"key":"2022052311163414200_bib33","doi-asserted-by":"crossref","first-page":"25458","DOI":"10.1109\/ACCESS.2021.3057385","article-title":"An improved multi-objective particle swarm optimization with topsis and fuzzy logic for optimizing trapezoidal labyrinth weir","volume":"9","author":"Mahmoud","year":"2021","journal-title":"IEEE Access"},{"key":"2022052311163414200_bib34","doi-asserted-by":"crossref","first-page":"103869","DOI":"10.1016\/j.compbiomed.2020.103869","article-title":"Covxnet: A multi-dilation convolutional neural network for automatic covid-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization","volume":"122","author":"Mahmud","year":"2020","journal-title":"Computers in Biology and Medicine"},{"key":"2022052311163414200_bib35","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.asoc.2018.02.051","article-title":"Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification","volume":"67","author":"Maldonado","year":"2018","journal-title":"Applied Soft Computing"},{"key":"2022052311163414200_bib36","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","article-title":"The whale optimization algorithm","volume":"95","author":"Mirjalili","year":"2016","journal-title":"Advances in Engineering Software"},{"key":"2022052311163414200_bib37","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","article-title":"Grey wolf optimizer","volume":"69","author":"Mirjalili","year":"2014","journal-title":"Advances in Engineering Software"},{"key":"2022052311163414200_bib38","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1109\/ICDAR.2003.1227746","article-title":"Unsupervised feature selection using multi-objective genetic algorithms for handwritten word recognition","volume-title":"Proceedings of the Seventh International Conference on Document Analysis and Recognition","author":"Morita","year":"2003"},{"key":"2022052311163414200_bib39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11227-020-03575-6","article-title":"A novel transfer learning approach for the classification of histological images of colorectal cancer","volume":"77","author":"Ohata","year":"2021","journal-title":"The Journal of Supercomputing"},{"key":"2022052311163414200_bib40","first-page":"99","article-title":"Fisher\u2019s method of scoring","volume":"60","author":"Osborne","year":"1992","journal-title":"International Statistical Review\/Revue Internationale de Statistique"},{"issue":"3","key":"2022052311163414200_bib41","doi-asserted-by":"crossref","first-page":"51","DOI":"10.3390\/jimaging7030051","article-title":"Two ensemble-CNN approaches for colorectal cancer tissue type classification","volume":"7","author":"Paladini","year":"2021","journal-title":"Journal of Imaging"},{"key":"2022052311163414200_bib42","doi-asserted-by":"crossref","first-page":"58006","DOI":"10.1109\/ACCESS.2020.2981337","article-title":"Optimal feature selection-based medical image classification using deep learning model in internet of medical things","volume":"8","author":"Raj","year":"2020","journal-title":"IEEE Access"},{"issue":"13","key":"2022052311163414200_bib43","doi-asserted-by":"crossref","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","article-title":"GSA: A gravitational search algorithm","volume":"179","author":"Rashedi","year":"2009","journal-title":"Information Sciences"},{"key":"2022052311163414200_bib44","volume-title":"The mathematical theory of communication, Paperback edition","author":"Shannon","year":"1962"},{"key":"2022052311163414200_bib45","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1109\/Confluence47617.2020.9057809","article-title":"Feature extraction and classification of chest X-ray images using CNN to detect pneumonia","volume-title":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","author":"Sharma","year":"2020"},{"key":"2022052311163414200_bib46","doi-asserted-by":"crossref","first-page":"158125","DOI":"10.1109\/ACCESS.2020.3019809","article-title":"EHHM: Electrical harmony based hybrid meta-heuristic for feature selection","volume":"8","author":"Sheikh","year":"2020","journal-title":"IEEE Access"},{"key":"2022052311163414200_bib47","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.swevo.2017.04.002","article-title":"A hybrid algorithm using ant and bee colony optimization for feature selection and classification (ac-abc hybrid)","volume":"36","author":"Shunmugapriya","year":"2017","journal-title":"Swarm and Evolutionary Computation"},{"key":"2022052311163414200_bib48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jpdc.2019.12.001","article-title":"DQPFS: Distributed quadratic programming based feature selection for big data","volume":"138","author":"Soheili","year":"2020","journal-title":"Journal of Parallel and Distributed Computing"},{"key":"2022052311163414200_bib49","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/EDOC52215.2021.00015","article-title":"Scalable global mutual information based feature selection framework for large scale datasets","volume-title":"2021 IEEE 25th International Enterprise Distributed Object Computing Conference (EDOC)","author":"Soheili","year":"2021"},{"key":"2022052311163414200_bib50","doi-asserted-by":"crossref","first-page":"4180949","DOI":"10.1155\/2019\/4180949","article-title":"An efficient deep learning approach to pneumonia classification in healthcare","volume":"2019","author":"Stephen","year":"2019","journal-title":"Journal of Healthcare Engineering"},{"key":"2022052311163414200_bib51","doi-asserted-by":"crossref","first-page":"101544","DOI":"10.1016\/j.media.2019.101544","article-title":"Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology","volume":"58","author":"Tellez","year":"2019","journal-title":"Medical Image Analysis"},{"issue":"1","key":"2022052311163414200_bib52","doi-asserted-by":"crossref","first-page":"3","DOI":"10.2478\/cait-2019-0001","article-title":"A review of feature selection and its methods","volume":"19","author":"Venkatesh","year":"2019","journal-title":"Cybernetics and Information Technologies"},{"issue":"6","key":"2022052311163414200_bib53","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":"2012","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"4","key":"2022052311163414200_bib54","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1109\/TEVC.2015.2504420","article-title":"A survey on evolutionary computation approaches to feature selection","volume":"20","author":"Xue","year":"2015","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"5","key":"2022052311163414200_bib55","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3340848","article-title":"Self-adaptive particle swarm optimization for large-scale feature selection in classification","volume":"13","author":"Xue","year":"2019","journal-title":"ACM Transactions on Knowledge Discovery from Data (TKDD)"},{"key":"2022052311163414200_bib56","doi-asserted-by":"crossref","first-page":"106559","DOI":"10.1016\/j.cie.2020.106559","article-title":"A mayfly optimization algorithm","volume":"145","author":"Zervoudakis","year":"2020","journal-title":"Computers & Industrial Engineering"},{"issue":"1","key":"2022052311163414200_bib57","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":"2015","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"},{"key":"2022052311163414200_bib58","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":"Information Sciences"},{"key":"2022052311163414200_bib59","first-page":"457","article-title":"An efficient method to predict pneumonia from chest X-rays using deep learning approach","volume":"272","author":"Zubair","year":"2020","journal-title":"The Importance of Health Informatics in Public Health During a Pandemic"}],"container-title":["Journal of Computational Design and Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/jcde\/article-pdf\/9\/3\/949\/43796077\/qwac040.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jcde\/article-pdf\/9\/3\/949\/43796077\/qwac040.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T11:17:59Z","timestamp":1653304679000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jcde\/article\/9\/3\/949\/6590608"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":59,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,5,23]]}},"URL":"https:\/\/doi.org\/10.1093\/jcde\/qwac040","relation":{},"ISSN":["2288-5048"],"issn-type":[{"value":"2288-5048","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2022,6]]},"published":{"date-parts":[[2022,5,23]]}}}