{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:49:22Z","timestamp":1765547362659,"version":"3.44.0"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"27","license":[{"start":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T00:00:00Z","timestamp":1734912000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T00:00:00Z","timestamp":1734912000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1007\/s00521-024-10577-5","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T01:41:56Z","timestamp":1734918116000},"page":"22421-22449","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Empowering white shark optimizer for dimensionality reduction with case study of apple disease prediction"],"prefix":"10.1007","volume":"37","author":[{"given":"Aya","family":"Sami","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sherif I.","family":"Barakat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6917-7873","authenticated-orcid":false,"given":"Reham R.","family":"Mostafa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,23]]},"reference":[{"key":"10577_CR1","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.108743","volume":"246","author":"RR Mostafa","year":"2022","unstructured":"Mostafa RR, Ewees AA, Ghoniem RM, Abualigah L, Hashim FA (2022) Boosting chameleon swarm algorithm with consumption aeo operator for global optimization and feature selection. Knowl-Based Syst 246:108743","journal-title":"Knowl-Based Syst"},{"issue":"1","key":"10577_CR2","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.compeleceng.2013.11.024","volume":"40","author":"G Chandrashekar","year":"2014","unstructured":"Chandrashekar G, Sahin F (2014) A survey on feature selection methods. Comput Electr Eng 40(1):16\u201328","journal-title":"Comput Electr Eng"},{"issue":"18","key":"10577_CR3","doi-asserted-by":"crossref","first-page":"13553","DOI":"10.1007\/s00500-022-07115-7","volume":"27","author":"RR Mostafa","year":"2022","unstructured":"Mostafa RR, El-Attar NE, Sabbeh SF, Vidyarthi A, Hashim FA (2022) St-al: a hybridized search based metaheuristic computational algorithm towards optimization of high dimensional industrial datasets. Soft Comput 27(18):13553\u201381","journal-title":"Soft Comput"},{"key":"10577_CR4","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.patrec.2014.10.007","volume":"52","author":"H Banka","year":"2015","unstructured":"Banka H, Dara S (2015) A hamming distance based binary particle swarm optimization (hdbpso) algorithm for high dimensional feature selection, classification and validation. Pattern Recogn Lett 52:94\u2013100","journal-title":"Pattern Recogn Lett"},{"key":"10577_CR5","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.knosys.2017.10.028","volume":"140","author":"E Hancer","year":"2018","unstructured":"Hancer E, Xue B, Zhang M (2018) Differential evolution for filter feature selection based on information theory and feature ranking. Knowl-Based Syst 140:103\u2013119","journal-title":"Knowl-Based Syst"},{"key":"10577_CR6","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.jvcir.2016.11.017","volume":"42","author":"A Singh","year":"2017","unstructured":"Singh A, Singh KK (2017) Satellite image classification using genetic algorithm trained radial basis function neural network, application to the detection of flooded areas. J Vis Commun Image Represent 42:173\u2013182","journal-title":"J Vis Commun Image Represent"},{"key":"10577_CR7","first-page":"119","volume-title":"Evolutionary and Swarm Intelligence Algorithms","author":"K Nag","year":"2019","unstructured":"Nag K, Pal NR (2019) Genetic programming for classification and feature selection. Evolutionary and Swarm Intelligence Algorithms. Springer, Cham, pp 119\u2013141"},{"key":"10577_CR8","unstructured":"Hichem H, Elkamel M, Rafik M, Mesaaoud MT, Ouahiba C (2019) A new binary grasshopper optimization algorithm for feature selection problem. Journal of King Saud University-Computer and Information Sciences"},{"issue":"1","key":"10577_CR9","doi-asserted-by":"crossref","first-page":"2158951","DOI":"10.1080\/10106049.2022.2158951","volume":"38","author":"RM Adnan","year":"2023","unstructured":"Adnan RM, Dai H-L, Mostafa RR, Islam ARMT, Kisi O, Heddam S, Zounemat-Kermani M (2023) Modelling groundwater level fluctuations by elm merged advanced metaheuristic algorithms using hydroclimatic data. Geocarto Int 38(1):2158951","journal-title":"Geocarto Int"},{"issue":"4","key":"10577_CR10","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MCI.2006.329691","volume":"1","author":"M Dorigo","year":"2006","unstructured":"Dorigo M, Birattari M, Stutzle T (2006) Ant colony optimization. IEEE Comput Intell Mag 1(4):28\u201339","journal-title":"IEEE Comput Intell Mag"},{"issue":"5","key":"10577_CR11","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.3390\/math11051213","volume":"11","author":"RM Adnan","year":"2023","unstructured":"Adnan RM, Meshram SG, Mostafa RR, Islam ARMT, Abba S, Andorful F, Chen Z (2023) Application of advanced optimized soft computing models for atmospheric variable forecasting. Mathematics 11(5):1213","journal-title":"Mathematics"},{"key":"10577_CR12","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113364","volume":"152","author":"N Neggaz","year":"2020","unstructured":"Neggaz N, Houssein EH, Hussain K (2020) An efficient henry gas solubility optimization for feature selection. Expert Syst Appl 152:113364","journal-title":"Expert Syst Appl"},{"issue":"6","key":"10577_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3459664","volume":"54","author":"E-G Talbi","year":"2021","unstructured":"Talbi E-G (2021) Machine learning into metaheuristics: a survey and taxonomy. ACM Comput Surv (CSUR) 54(6):1\u201332","journal-title":"ACM Comput Surv (CSUR)"},{"issue":"1","key":"10577_CR14","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert DH, Macready WG (1997) No free lunch theorems for optimization. IEEE Trans Evol Comput 1(1):67\u201382","journal-title":"IEEE Trans Evol Comput"},{"key":"10577_CR15","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.108457","volume":"243","author":"M Braik","year":"2022","unstructured":"Braik M, Hammouri A, Atwan J, Al-Betar MA, Awadallah MA (2022) White shark optimizer: a novel bio-inspired meta-heuristic algorithm for global optimization problems. Knowl-Based Syst 243:108457","journal-title":"Knowl-Based Syst"},{"key":"10577_CR16","doi-asserted-by":"crossref","unstructured":"Eberhart R, Kennedy J (1995) Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, vol. 4, pp. 1942\u20131948. Citeseer","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"5","key":"10577_CR17","doi-asserted-by":"crossref","first-page":"1653","DOI":"10.1007\/s12065-023-00819-1","volume":"16","author":"Y Chen","year":"2023","unstructured":"Chen Y, Liu J, Zhu J, Wang Z (2023) An improved binary particle swarm optimization combing V-shaped and U-shaped transfer function. Evolut Intell 16(5):1653\u201366","journal-title":"Evolut Intell"},{"key":"10577_CR18","doi-asserted-by":"crossref","first-page":"85989","DOI":"10.1109\/ACCESS.2020.2992752","volume":"8","author":"B Ji","year":"2020","unstructured":"Ji B, Lu X, Sun G, Zhang W, Li J, Xiao Y (2020) Bio-inspired feature selection: an improved binary particle swarm optimization approach. IEEE Access 8:85989\u201386002","journal-title":"IEEE Access"},{"key":"10577_CR19","doi-asserted-by":"crossref","first-page":"33301","DOI":"10.1109\/ACCESS.2022.3162074","volume":"10","author":"J Feng","year":"2022","unstructured":"Feng J, Gong Z (2022) A novel feature selection method with neighborhood rough set and improved particle swarm optimization. IEEE Access 10:33301\u201333312","journal-title":"IEEE Access"},{"issue":"3","key":"10577_CR20","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1007\/s00500-018-3102-4","volume":"23","author":"S Arora","year":"2019","unstructured":"Arora S, Singh S (2019) Butterfly optimization algorithm: a novel approach for global optimization. Soft Comput 23(3):715\u2013734","journal-title":"Soft Comput"},{"key":"10577_CR21","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.eswa.2018.08.051","volume":"116","author":"S Arora","year":"2019","unstructured":"Arora S, Anand P (2019) Binary butterfly optimization approaches for feature selection. Expert Syst Appl 116:147\u2013160","journal-title":"Expert Syst Appl"},{"issue":"21","key":"10577_CR22","doi-asserted-by":"crossref","first-page":"11505","DOI":"10.1007\/s00500-022-07389-x","volume":"26","author":"W Long","year":"2022","unstructured":"Long W, Jiao J, Wu T, Xu M, Cai S (2022) A balanced butterfly optimization algorithm for numerical optimization and feature selection. Soft Comput 26(21):11505\u201311523","journal-title":"Soft Comput"},{"key":"10577_CR23","doi-asserted-by":"crossref","first-page":"194303","DOI":"10.1109\/ACCESS.2020.3033757","volume":"8","author":"M Tubishat","year":"2020","unstructured":"Tubishat M, Alswaitti M, Mirjalili S, Al-Garadi MA, Rana TA et al (2020) Dynamic butterfly optimization algorithm for feature selection. IEEE Access 8:194303\u2013194314","journal-title":"IEEE Access"},{"key":"10577_CR24","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1016\/j.future.2019.02.028","volume":"97","author":"AA Heidari","year":"2019","unstructured":"Heidari AA, Mirjalili S, Faris H, Aljarah I, Mafarja M, Chen H (2019) Harris hawks optimization: algorithm and applications. Futur Gener Comput Syst 97:849\u2013872","journal-title":"Futur Gener Comput Syst"},{"key":"10577_CR25","doi-asserted-by":"crossref","first-page":"13601","DOI":"10.1007\/s00521-021-05991-y","volume":"33","author":"EH Houssein","year":"2021","unstructured":"Houssein EH, Neggaz N, Hosney ME, Mohamed WM, Hassaballah M (2021) Enhanced harris hawks optimization with genetic operators for selection chemical descriptors and compounds activities. Neural Comput Appl 33:13601\u201313618","journal-title":"Neural Comput Appl"},{"key":"10577_CR26","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Gandomi AH, Mirjalili SZ, Saremi S, Faris H, Mirjalili SM (2017) Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Softw 114:163\u2013191","journal-title":"Adv Eng Softw"},{"issue":"10","key":"10577_CR27","doi-asserted-by":"crossref","first-page":"3462","DOI":"10.1007\/s10489-018-1158-6","volume":"48","author":"GI Sayed","year":"2018","unstructured":"Sayed GI, Khoriba G, Haggag MH (2018) A novel chaotic salp swarm algorithm for global optimization and feature selection. Appl Intell 48(10):3462\u20133481","journal-title":"Appl Intell"},{"issue":"11","key":"10577_CR28","doi-asserted-by":"crossref","first-page":"12399","DOI":"10.1007\/s11227-021-03773-w","volume":"77","author":"K Balakrishnan","year":"2021","unstructured":"Balakrishnan K, Dhanalakshmi R, Khaire UM (2021) Improved salp swarm algorithm based on the levy flight for feature selection. J Supercomput 77(11):12399\u201312419","journal-title":"J Supercomput"},{"key":"10577_CR29","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51\u201367","journal-title":"Adv Eng Softw"},{"key":"10577_CR30","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.neucom.2017.04.053","volume":"260","author":"MM Mafarja","year":"2017","unstructured":"Mafarja MM, Mirjalili S (2017) Hybrid whale optimization algorithm with simulated annealing for feature selection. Neurocomputing 260:302\u2013312","journal-title":"Neurocomputing"},{"key":"10577_CR31","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106092","volume":"89","author":"R Agrawal","year":"2020","unstructured":"Agrawal R, Kaur B, Sharma S (2020) Quantum based whale optimization algorithm for wrapper feature selection. Appl Soft Comput 89:106092","journal-title":"Appl Soft Comput"},{"key":"10577_CR32","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.engappai.2019.03.021","volume":"82","author":"G Dhiman","year":"2019","unstructured":"Dhiman G, Kaur A (2019) Stoa: a bio-inspired based optimization algorithm for industrial engineering problems. Eng Appl Artif Intell 82:148\u2013174","journal-title":"Eng Appl Artif Intell"},{"key":"10577_CR33","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119015","volume":"213","author":"EH Houssein","year":"2023","unstructured":"Houssein EH, Oliva D, Celik E, Emam MM, Ghoniem RM (2023) Boosted sooty tern optimization algorithm for global optimization and feature selection. Expert Syst Appl 213:119015","journal-title":"Expert Syst Appl"},{"key":"10577_CR34","doi-asserted-by":"publisher","DOI":"10.32604\/csse.2021.017536","author":"H Jia","year":"2021","unstructured":"Jia H, Li Y, Sun K, Cao N, Zhou HM (2021) Hybrid sooty tern optimization and differential evolution for feature selection. Comput Syst Sci Eng. https:\/\/doi.org\/10.32604\/csse.2021.017536","journal-title":"Comput Syst Sci Eng"},{"issue":"10","key":"10577_CR35","doi-asserted-by":"crossref","first-page":"5887","DOI":"10.1002\/int.22535","volume":"36","author":"B Abdollahzadeh","year":"2021","unstructured":"Abdollahzadeh B, Soleimanian Gharehchopogh F, Mirjalili S (2021) Artificial gorilla troops optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems. Int J Intell Syst 36(10):5887\u20135958","journal-title":"Int J Intell Syst"},{"key":"10577_CR36","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110462","volume":"269","author":"RR Mostafa","year":"2023","unstructured":"Mostafa RR, Gaheen MA, Abd ElAziz M, Al-Betar MA, Ewees AA (2023) An improved gorilla troops optimizer for global optimization problems and feature selection. Knowl-Based Syst 269:110462","journal-title":"Knowl-Based Syst"},{"key":"10577_CR37","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.114685","volume":"174","author":"MS Braik","year":"2021","unstructured":"Braik MS (2021) Chameleon swarm algorithm: a bio-inspired optimizer for solving engineering design problems. Expert Syst Appl 174:114685","journal-title":"Expert Syst Appl"},{"key":"10577_CR38","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.108743","volume":"246","author":"RR Mostafa","year":"2022","unstructured":"Mostafa RR, Ewees AA, Ghoniem RM, Abualigah L, Hashim FA (2022) Boosting chameleon swarm algorithm with consumption aeo operator for global optimization and feature selection. Knowl-Based Syst 246:108743","journal-title":"Knowl-Based Syst"},{"key":"10577_CR39","doi-asserted-by":"crossref","unstructured":"Tizhoosh HR (2005) Opposition-based learning: a new scheme for machine intelligence. In: International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC\u201906), vol. 1, pp. 695\u2013701. IEEE","DOI":"10.1109\/CIMCA.2005.1631345"},{"key":"10577_CR40","doi-asserted-by":"crossref","DOI":"10.1515\/9780691187563","volume-title":"Local search in combinatorial optimization","author":"E Aarts","year":"2003","unstructured":"Aarts E, Aarts EH, Lenstra JK (2003) Local search in combinatorial optimization. Princeton University Press, Princeton"},{"key":"10577_CR41","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.106425","volume":"215","author":"S Song","year":"2021","unstructured":"Song S, Wang P, Heidari AA, Wang M, Zhao X, Chen H, He W, Xu S (2021) Dimension decided harris hawks optimization with gaussian mutation: Balance analysis and diversity patterns. Knowl-Based Syst 215:106425","journal-title":"Knowl-Based Syst"},{"key":"10577_CR42","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.3389\/fpls.2016.01419","volume":"7","author":"SP Mohanty","year":"2016","unstructured":"Mohanty SP, Hughes DP, Salath\u00e9 M (2016) Using deep learning for image-based plant disease detection. Front Plant Sci 7:1419","journal-title":"Front Plant Sci"},{"key":"10577_CR43","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.ecoinf.2017.05.005","volume":"40","author":"P Barr\u00e9","year":"2017","unstructured":"Barr\u00e9 P, St\u00f6ver BC, M\u00fcller KF, Steinhage V (2017) Leafnet: a computer vision system for automatic plant species identification. Eco Inform 40:50\u201356","journal-title":"Eco Inform"},{"key":"10577_CR44","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.compag.2016.07.003","volume":"127","author":"GL Grinblat","year":"2016","unstructured":"Grinblat GL, Uzal LC, Larese MG, Granitto PM (2016) Deep learning for plant identification using vein morphological patterns. Comput Electron Agric 127:418\u2013424","journal-title":"Comput Electron Agric"},{"issue":"11","key":"10577_CR45","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2020) Generative adversarial networks. Commun ACM 63(11):139\u2013144","journal-title":"Commun ACM"},{"key":"10577_CR46","unstructured":"Mirza M, Osindero S (2014) Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784"},{"key":"10577_CR47","volume":"87","author":"MA Khan","year":"2020","unstructured":"Khan MA, Sharif M, Akram T, Raza M, Saba T, Rehman A (2020) Hand-crafted and deep convolutional neural network features fusion and selection strategy: an application to intelligent human action recognition. Appl Soft Comput 87:105986","journal-title":"Appl Soft Comput"},{"key":"10577_CR48","volume":"90","author":"MA Khan","year":"2021","unstructured":"Khan MA, Kadry S, Zhang Y-D, Akram T, Sharif M, Rehman A, Saba T (2021) Prediction of covid-19-pneumonia based on selected deep features and one class kernel extreme learning machine. Comput Electr Eng 90:106960","journal-title":"Comput Electr Eng"},{"issue":"25","key":"10577_CR49","doi-asserted-by":"crossref","first-page":"18627","DOI":"10.1007\/s11042-020-08726-8","volume":"79","author":"MA Khan","year":"2020","unstructured":"Khan MA, Akram T, Sharif M, Javed K, Raza M, Saba T (2020) An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection. Multimed Tools Appl 79(25):18627\u201318656","journal-title":"Multimed Tools Appl"},{"issue":"4","key":"10577_CR50","doi-asserted-by":"crossref","first-page":"1377","DOI":"10.1007\/s10044-018-0688-1","volume":"22","author":"MA Khan","year":"2019","unstructured":"Khan MA, Akram T, Sharif M, Javed MY, Muhammad N, Yasmin M (2019) An implementation of optimized framework for action classification using multilayers neural network on selected fused features. Pattern Anal Appl 22(4):1377\u20131397","journal-title":"Pattern Anal Appl"},{"key":"10577_CR51","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556"},{"key":"10577_CR52","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"issue":"6","key":"10577_CR53","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2017) Imagenet classification with deep convolutional neural networks. Commun ACM 60(6):84\u201390","journal-title":"Commun ACM"},{"key":"10577_CR54","volume-title":"UCI machine learning repository","author":"A Asuncion","year":"2007","unstructured":"Asuncion A, Newman D (2007) UCI machine learning repository. Irvine, CA, USA"},{"issue":"3","key":"10577_CR55","doi-asserted-by":"crossref","first-page":"1531","DOI":"10.1007\/s10489-020-01893-z","volume":"51","author":"FA Hashim","year":"2021","unstructured":"Hashim FA, Hussain K, Houssein EH, Mabrouk MS, Al-Atabany W (2021) Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems. Appl Intell 51(3):1531\u20131551","journal-title":"Appl Intell"},{"key":"10577_CR56","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113338","volume":"149","author":"M Khishe","year":"2020","unstructured":"Khishe M, Mosavi MR (2020) Chimp optimization algorithm. Expert Syst Appl 149:113338","journal-title":"Expert Syst Appl"},{"key":"10577_CR57","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.knosys.2015.12.022","volume":"96","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S (2016) Sca: a sine cosine algorithm for solving optimization problems. Knowl-Based Syst 96:120\u2013133","journal-title":"Knowl-Based Syst"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10577-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-024-10577-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10577-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T14:10:25Z","timestamp":1757340625000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-024-10577-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,23]]},"references-count":57,"journal-issue":{"issue":"27","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["10577"],"URL":"https:\/\/doi.org\/10.1007\/s00521-024-10577-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2024,12,23]]},"assertion":[{"value":"19 February 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}