{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T17:49:31Z","timestamp":1786988971165,"version":"build-2736575974"},"reference-count":59,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012696","name":"Universitas Surabaya","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012696","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.eswa.2026.132277","type":"journal-article","created":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T15:44:08Z","timestamp":1774885448000},"page":"132277","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["A hybrid binary Grey Wolf and Whale optimization method for feature selection in classification tasks"],"prefix":"10.1016","volume":"321","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5615-5496","authenticated-orcid":false,"given":"Joko","family":"Siswantoro","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6373-2751","authenticated-orcid":false,"given":"Jabesh","family":"Nehemiah Wijaya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1376-7270","authenticated-orcid":false,"given":"Vincentius","family":"Riandaru Prasetyo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7266-4500","authenticated-orcid":false,"given":"Heru","family":"Arwoko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.132277_bib0001","doi-asserted-by":"crossref","first-page":"26766","DOI":"10.1109\/ACCESS.2021.3056407","article-title":"Metaheuristic algorithms on feature selection: A survey of one decade of research (2009-2019)","volume":"9","author":"Agrawal","year":"2021","journal-title":"IEEE Access"},{"issue":"1","key":"10.1016\/j.eswa.2026.132277_bib0002","doi-asserted-by":"crossref","DOI":"10.4018\/IJSIR.302613","article-title":"A hybrid whale genetic algorithm for feature selection in biomedical dataset","volume":"13","author":"Agrawal","year":"2022","journal-title":"International Journal Of Swarm Intelligence Research"},{"issue":"2","key":"10.1016\/j.eswa.2026.132277_bib0003","first-page":"896","article-title":"Initialisation approaches for population-based metaheuristic algorithms: A comprehensive review","volume":"12","author":"Agushaka","year":"2022","journal-title":"Applied Sciences 2022, Vol. 12, Page 896"},{"key":"10.1016\/j.eswa.2026.132277_bib0004","doi-asserted-by":"crossref","first-page":"31662","DOI":"10.1109\/ACCESS.2021.3060096","article-title":"Hybrid binary Grey Wolf with Harris Hawks optimizer for feature selection","volume":"9","author":"Al-Wajih","year":"2021","journal-title":"IEEE Access"},{"issue":"2","key":"10.1016\/j.eswa.2026.132277_sbref0005","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s40860-020-00120-3","article-title":"Big data in cybersecurity: A survey of applications and future trends","volume":"7","author":"Alani","year":"2021","journal-title":"Journal of Reliable Intelligent Environments"},{"issue":"2","key":"10.1016\/j.eswa.2026.132277_sbref0006","doi-asserted-by":"crossref","first-page":"2677","DOI":"10.32604\/cmc.2023.033273","article-title":"Network intrusion detection based on feature selection and hybrid metaheuristic optimization","volume":"74","author":"Alkanhel","year":"2022","journal-title":"Computers, Materials and Continua"},{"key":"10.1016\/j.eswa.2026.132277_sbref0007","doi-asserted-by":"crossref","DOI":"10.56294\/dm2024.420","article-title":"Novel HGDBO: A hybrid genetic and dung beetle optimization algorithm for microarray gene selection and efficient cancer classification","volume":"3","author":"Alluri","year":"2024","journal-title":"Data and Metadata"},{"issue":"1","key":"10.1016\/j.eswa.2026.132277_sbref0008","doi-asserted-by":"crossref","first-page":"675","DOI":"10.32604\/cmc.2024.048146","article-title":"Enhancing cancer classification through a hybrid bio-inspired evolutionary algorithm for biomarker gene selection","volume":"79","author":"AlShamlan","year":"2024","journal-title":"Computers, Materials and Continua"},{"key":"10.1016\/j.eswa.2026.132277_bib0009","doi-asserted-by":"crossref","first-page":"8846","DOI":"10.1109\/ACCESS.2024.3353055","article-title":"Building a Cloud-IDS by hybrid bio-inspired feature selection algorithms along with random forest model","volume":"12","author":"Bakro","year":"2024","journal-title":"IEEE Access"},{"issue":"5","key":"10.1016\/j.eswa.2026.132277_sbref0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.isci.2023.106679","article-title":"An artificial bee bare-bone hunger games search for global optimization and high-dimensional feature selection","volume":"26","author":"Chen","year":"2023","journal-title":"iScience"},{"key":"10.1016\/j.eswa.2026.132277_sbref0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.cageo.2024.105785","article-title":"Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms","volume":"195","author":"Daviran","year":"2025","journal-title":"Computers & Geosciences"},{"key":"10.1016\/j.eswa.2026.132277_bib0012","first-page":"1","article-title":"Introduction to data mining","author":"Durugkar","year":"2022","journal-title":"Data Mining and Machine Learning Applications"},{"key":"10.1016\/j.eswa.2026.132277_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2021.101224","article-title":"An evaluation of feature selection methods for environmental data","volume":"61","author":"Effrosynidis","year":"2021","journal-title":"Ecological Informatics"},{"key":"10.1016\/j.eswa.2026.132277_bib0014","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.neucom.2015.06.083","article-title":"Binary Grey Wolf optimization approaches for feature selection","volume":"172","author":"Emary","year":"2016","journal-title":"Neurocomputing"},{"key":"10.1016\/j.eswa.2026.132277_sbref0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113502","article-title":"Boosted hunting-based fruit fly optimization and advances in real-world problems","volume":"159","author":"Fan","year":"2020","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.1016\/j.eswa.2026.132277_bib0016","first-page":"1","article-title":"Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications","volume":"11","author":"Halder","year":"2024","journal-title":"Journal of Big Data 2024 11:1"},{"issue":"1","key":"10.1016\/j.eswa.2026.132277_sbref0017","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"},{"key":"10.1016\/j.eswa.2026.132277_sbref0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.106684","article-title":"Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection","volume":"213","author":"Hu","year":"2021","journal-title":"Knowledge-Based Systems"},{"issue":"8","key":"10.1016\/j.eswa.2026.132277_bib0019","doi-asserted-by":"crossref","first-page":"4864","DOI":"10.1002\/int.22744","article-title":"Chaotic diffusion-limited aggregation enhanced grey wolf optimizer: Insights, analysis, binarization, and feature selection","volume":"37","author":"Hu","year":"2022","journal-title":"International Journal of Intelligent Systems"},{"issue":"2","key":"10.1016\/j.eswa.2026.132277_bib0020","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1007\/s10776-022-00555-w","article-title":"An intelligent probabilistic whale optimization algorithm (i-WOA) for clustering in vehicular Ad Hoc networks","volume":"29","author":"Husnain","year":"2022","journal-title":"International Journal of Wireless Information Networks"},{"key":"10.1016\/j.eswa.2026.132277_bib0021","first-page":"79","article-title":"S-shaped binary whale optimization algorithm for feature selection","volume":"727","author":"Hussien","year":"2019","journal-title":"Advances in Intelligent Systems and Computing"},{"issue":"3","key":"10.1016\/j.eswa.2026.132277_bib0022","doi-asserted-by":"crossref","first-page":"2663","DOI":"10.1007\/s40747-021-00637-x","article-title":"Feature dimensionality reduction: a review","volume":"8","author":"Jia","year":"2022","journal-title":"Complex & Intelligent Systems 2022 8:3"},{"key":"10.1016\/j.eswa.2026.132277_bib0023","unstructured":"Kelly, M., Longjohn, R., & Nottingham, K. (n.d.). The UCI machine learning repository. Accessed: 2025-05-30http:\/\/archive.ics.uci.edu."},{"key":"10.1016\/j.eswa.2026.132277_bib0024","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","article-title":"Particle swarm optimization","volume":"4","author":"Kennedy","year":"1995","journal-title":"Proceedings of ICNN\u201995 - International Conference on Neural Networks"},{"issue":"4","key":"10.1016\/j.eswa.2026.132277_bib0025","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1016\/j.jksuci.2019.06.012","article-title":"Stability of feature selection algorithm: A review","volume":"34","author":"Khaire","year":"2022","journal-title":"Journal of King Saud University - Computer and Information Sciences"},{"key":"10.1016\/j.eswa.2026.132277_bib0026","doi-asserted-by":"crossref","first-page":"94094","DOI":"10.1109\/ACCESS.2023.3310429","article-title":"BAOA: Binary arithmetic optimization algorithm with K-nearest neighbor classifier for feature selection","volume":"11","author":"Khodadadi","year":"2023","journal-title":"IEEE Access"},{"key":"10.1016\/j.eswa.2026.132277_sbref0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123362","article-title":"Particle guided metaheuristic algorithm for global optimization and feature selection problems","volume":"248","author":"Kwakye","year":"2024","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"10.1016\/j.eswa.2026.132277_bib0028","doi-asserted-by":"crossref","first-page":"2979","DOI":"10.32604\/cmc.2024.053627","article-title":"A feature selection method based on hybrid dung beetle optimization algorithm and slap swarm algorithm","volume":"80","author":"Liu","year":"2024","journal-title":"Computers, Materials and Continua"},{"issue":"1","key":"10.1016\/j.eswa.2026.132277_bib0029","doi-asserted-by":"crossref","first-page":"121","DOI":"10.3233\/IDA-227222","article-title":"Evolutionary feature selection based on hybrid bald eagle search and particle swarm optimization","volume":"28","author":"Liu","year":"2024","journal-title":"Intelligent Data Analysis"},{"key":"10.1016\/j.eswa.2026.132277_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109566","article-title":"A novel relation aware wrapper method for feature selection","volume":"140","author":"Liu","year":"2023","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2026.132277_bib0031","doi-asserted-by":"crossref","first-page":"22991","DOI":"10.1109\/ACCESS.2023.3304889","article-title":"Recent advances in Grey Wolf optimizer, its versions and applications: Review","volume":"12","author":"Makhadmeh","year":"2024","journal-title":"IEEE Access"},{"key":"10.1016\/j.eswa.2026.132277_sbref0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.106854","article-title":"Simulated annealing aided genetic algorithm for gene selection from microarray data","volume":"158","author":"Marjit","year":"2023","journal-title":"Computers in Biology and Medicine"},{"issue":"3","key":"10.1016\/j.eswa.2026.132277_sbref0033","doi-asserted-by":"crossref","first-page":"1153","DOI":"10.11591\/ijai.v11.i3.pp1153-1163","article-title":"Machine learning of tax avoidance detection based on hybrid metaheuristics algorithms","volume":"11","author":"Masrom","year":"2022","journal-title":"IAES International Journal of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2026.132277_bib0034","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","article-title":"Salp swarm algorithm: A bio-inspired optimizer for engineering design problems","volume":"114","author":"Mirjalili","year":"2017","journal-title":"Advances in Engineering Software"},{"key":"10.1016\/j.eswa.2026.132277_bib0035","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":"10.1016\/j.eswa.2026.132277_bib0036","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":"10.1016\/j.eswa.2026.132277_sbref0037","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.future.2024.02.017","article-title":"Feature selection based on dataset variance optimization using Hybrid Sine Cosine - Firehawk Algorithm (HSCFHA)","volume":"155","author":"Moosavi","year":"2024","journal-title":"Future Generation Computer Systems"},{"issue":"11","key":"10.1016\/j.eswa.2026.132277_bib0038","first-page":"136","article-title":"B-MFO: A binary moth-flame optimization for feature selection from medical datasets","volume":"10","author":"Nadimi-Shahraki","year":"2021","journal-title":"Computers 2021, Vol. 10, Page 136"},{"key":"10.1016\/j.eswa.2026.132277_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113917","article-title":"An improved Grey Wolf optimizer for solving engineering problems","volume":"166","author":"Nadimi-Shahraki","year":"2021","journal-title":"Expert Systems with Applications"},{"issue":"7","key":"10.1016\/j.eswa.2026.132277_bib0040","doi-asserted-by":"crossref","first-page":"4113","DOI":"10.1007\/s11831-023-09928-7","article-title":"A systematic review of the whale optimization algorithm: Theoretical foundation, improvements, and hybridizations","volume":"30","author":"Nadimi-Shahraki","year":"2023","journal-title":"Archives of Computational Methods in Engineering 2023 30:7"},{"key":"10.1016\/j.eswa.2026.132277_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.cosrev.2023.100559","article-title":"Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey","volume":"49","author":"Nssibi","year":"2023","journal-title":"Computer Science Review"},{"issue":"15-16","key":"10.1016\/j.eswa.2026.132277_bib0042","doi-asserted-by":"crossref","first-page":"1992","DOI":"10.1177\/10775463211003402","article-title":"Dynamic characterization of a master-slave robotic manipulator using a hybrid grey wolf-whale optimization algorithm","volume":"28","author":"Obadina","year":"2021","journal-title":"JVC\/Journal of Vibration and Control"},{"key":"10.1016\/j.eswa.2026.132277_sbref0043","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.129018","article-title":"An adaptation of hybrid binary optimization algorithms for medical image feature selection in neural network for classification of breast cancer","volume":"617","author":"Oyelade","year":"2025","journal-title":"Neurocomputing"},{"issue":"7","key":"10.1016\/j.eswa.2026.132277_sbref0044","doi-asserted-by":"crossref","first-page":"6101","DOI":"10.1007\/s10462-022-10328-9","article-title":"A survey on binary metaheuristic algorithms and their engineering applications","volume":"56","author":"Pan","year":"2023","journal-title":"Artificial Intelligence Review"},{"key":"10.1016\/j.eswa.2026.132277_bib0045","doi-asserted-by":"crossref","DOI":"10.1109\/ACCESS.2023.3272556","article-title":"Bio-inspired feature selection algorithms with their applications: A systematic literature review","author":"Pham","year":"2023","journal-title":"IEEE Access"},{"key":"10.1016\/j.eswa.2026.132277_bib0046","doi-asserted-by":"crossref","DOI":"10.3389\/fbinf.2022.927312","article-title":"A review of feature selection methods for machine learning-based disease risk prediction","volume":"2","author":"Pudjihartono","year":"2022","journal-title":"Frontiers in Bioinformatics"},{"issue":"7","key":"10.1016\/j.eswa.2026.132277_bib0047","doi-asserted-by":"crossref","DOI":"10.1111\/exsy.13363","article-title":"Hybrid firefly particle swarm optimisation algorithm for feature selection problems","volume":"41","author":"Ragab","year":"2024","journal-title":"Expert Systems"},{"issue":"20","key":"10.1016\/j.eswa.2026.132277_bib0048","doi-asserted-by":"crossref","first-page":"16245","DOI":"10.1007\/s00521-020-04849-z","article-title":"Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments","volume":"32","author":"Rana","year":"2020","journal-title":"Neural Computing and Applications"},{"issue":"4","key":"10.1016\/j.eswa.2026.132277_bib0049","first-page":"1339","article-title":"Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities","volume":"28","author":"Rehman","year":"2021","journal-title":"Multimedia Systems 2021 28:4"},{"key":"10.1016\/j.eswa.2026.132277_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.compeleceng.2021.107632","article-title":"A hybrid multi-population metaheuristic applied to load-sharing optimization of gas compressor stations","volume":"97","author":"Rodrigues","year":"2022","journal-title":"Computers & Electrical Engineering"},{"key":"10.1016\/j.eswa.2026.132277_bib0051","doi-asserted-by":"crossref","DOI":"10.1155\/2020\/8506365","article-title":"An innovative excited-ACS-IDGWO algorithm for optimal biomedical data feature selection","volume":"2020","author":"Segera","year":"2020","journal-title":"Biomed Research International"},{"key":"10.1016\/j.eswa.2026.132277_bib0052","doi-asserted-by":"crossref","first-page":"14867","DOI":"10.1109\/ACCESS.2021.3049547","article-title":"BSSA: Binary salp swarm algorithm with hybrid data transformation for feature selection","volume":"9","author":"Shekhawat","year":"2021","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.eswa.2026.132277_bib0053","first-page":"1","article-title":"Enhanced support vector machine based on Grey Wolf optimizer for fruits image classification using MPEG-7 color and texture features fusion","volume":"17","author":"Siswantoro","year":"2024","journal-title":"International Journal of Intelligent Engineering and Systems"},{"issue":"7","key":"10.1016\/j.eswa.2026.132277_bib0054","doi-asserted-by":"crossref","DOI":"10.1111\/jfpe.13414","article-title":"Indonesian fruits classification from image using MPEG-7 descriptors and ensemble of simple classifiers","volume":"43","author":"Siswantoro","year":"2020","journal-title":"Journal of Food Process Engineering"},{"key":"10.1016\/j.eswa.2026.132277_bib0055","series-title":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","first-page":"362","article-title":"A hybrid improved whale optimization algorithm","author":"Tang","year":"2019"},{"issue":"3","key":"10.1016\/j.eswa.2026.132277_bib0056","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0173907","article-title":"Adaptive feature selection using v-shaped binary particle swarm optimization","volume":"12","author":"Teng","year":"2017","journal-title":"PLOS ONE"},{"issue":"1","key":"10.1016\/j.eswa.2026.132277_bib0057","first-page":"1","article-title":"Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction","volume":"12","author":"Uddin","year":"2022","journal-title":"Scientific Reports 2022 12:1"},{"key":"10.1016\/j.eswa.2026.132277_bib0058","article-title":"Hybrid bio-inspired algorithm and convolutional neural network for automatic lung tumor detection","author":"Vijh","year":"2020","journal-title":"Neural Computing & Applications"},{"key":"10.1016\/j.eswa.2026.132277_bib0059","doi-asserted-by":"crossref","DOI":"10.1016\/j.ribaf.2020.101338","article-title":"Can fintech improve the efficiency of commercial banks? \u2013An analysis based on big data","volume":"55","author":"Wang","year":"2021","journal-title":"Research in International Business and Finance"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426011905?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426011905?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T16:10:28Z","timestamp":1780935028000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426011905"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":59,"alternative-id":["S0957417426011905"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132277","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A hybrid binary Grey Wolf and Whale optimization method for feature selection in classification tasks","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132277","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"132277"}}