{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T21:12:33Z","timestamp":1777497153463,"version":"3.51.4"},"reference-count":87,"publisher":"Springer Science and Business Media LLC","issue":"23","license":[{"start":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T00:00:00Z","timestamp":1589155200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T00:00:00Z","timestamp":1589155200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004595","name":"Universiti Sains Malaysia","doi-asserted-by":"publisher","award":["1001\/PKOMP\/ 8014016"],"award-info":[{"award-number":["1001\/PKOMP\/ 8014016"]}],"id":[{"id":"10.13039\/501100004595","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s00521-020-04945-0","type":"journal-article","created":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T12:03:47Z","timestamp":1589198627000},"page":"17703-17729","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["A novel hybrid multi-verse optimizer with K-means for text documents clustering"],"prefix":"10.1007","volume":"32","author":[{"given":"Ammar Kamal","family":"Abasi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahamad Tajudin","family":"Khader","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed Azmi","family":"Al-Betar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syibrah","family":"Naim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zaid Abdi Alkareem","family":"Alyasseri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sharif Naser","family":"Makhadmeh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,11]]},"reference":[{"key":"4945_CR1","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.engappai.2019.04.007","volume":"82","author":"E Figueiredo","year":"2019","unstructured":"Figueiredo E, Macedo M, Siqueira HV, Santana CJ Jr, Gokhale A, Bastos-Filho CJA (2019) Swarm intelligence for clustering a systematic review with new perspectives on data mining. Eng Appl Artif Intell 82:313\u2013329","journal-title":"Eng Appl Artif Intell"},{"issue":"3","key":"4945_CR2","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1007\/s00500-014-1571-7","volume":"20","author":"KK Bharti","year":"2016","unstructured":"Bharti KK, Singh PK (2016) Chaotic gradient artificial bee colony for text clustering. Soft Comput 20(3):1113\u20131126","journal-title":"Soft Comput"},{"key":"4945_CR3","unstructured":"Jensi R, Jiji DGW (2014) A survey on optimization approaches to text document clustering. arXiv preprint arXiv:1401.2229"},{"issue":"3","key":"4945_CR4","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1007\/s10115-011-0412-6","volume":"31","author":"A Kalogeratos","year":"2012","unstructured":"Kalogeratos A, Likas A (2012) Text document clustering using global term context vectors. Knowl Inf Syst 31(3):455\u2013474","journal-title":"Knowl Inf Syst"},{"key":"4945_CR5","doi-asserted-by":"crossref","first-page":"106002","DOI":"10.1016\/j.asoc.2019.106002","volume":"87","author":"AK Abasi","year":"2020","unstructured":"Abasi AK, Khader AT, Al-Betar MA, Naim S, Makhadmeh SN, Alyasseri ZAA (2020) Link-based multi-verse optimizer for text documents clustering. Appl Soft Comput 87:106002","journal-title":"Appl Soft Comput"},{"key":"4945_CR6","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/978-981-13-3600-3_25","volume-title":"Soft computing and signal processing","author":"MS Rani","year":"2019","unstructured":"Rani MS, Babu GC (2019) Efficient query clustering technique and context well-informed document clustering. In: Wang J, Reddy G, Prasad V, Reddy V (eds) Soft computing and signal processing. Springer, Singapore, pp 261\u2013271"},{"issue":"4","key":"4945_CR7","doi-asserted-by":"crossref","first-page":"751","DOI":"10.3233\/AIC-150677","volume":"28","author":"Y Kumar","year":"2015","unstructured":"Kumar Y, Sahoo G (2015) A hybrid data clustering approach based on improved cat swarm optimization and k-harmonic mean algorithm. AI Commun 28(4):751\u2013764","journal-title":"AI Commun"},{"key":"4945_CR8","doi-asserted-by":"crossref","unstructured":"B\u00fcy\u00fcksaat\u00e7\u0131 S, Baray A (2016) A brief review of metaheuristics for document or text clustering. In: Intelligent techniques for data analysis in diverse settings. IGI Global, pp 252\u2013264","DOI":"10.4018\/978-1-5225-0075-9.ch012"},{"issue":"1","key":"4945_CR9","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.asoc.2009.07.001","volume":"10","author":"T Niknam","year":"2010","unstructured":"Niknam T, Amiri B (2010) An efficient hybrid approach based on pso, aco and k-means for cluster analysis. Appl Soft Comput 10(1):183\u2013197","journal-title":"Appl Soft Comput"},{"key":"4945_CR10","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.asoc.2017.06.059","volume":"60","author":"LM Abualigah","year":"2017","unstructured":"Abualigah LM, Khader AT, Hanandeh ES, Gandomi AH (2017) A novel hybridization strategy for krill herd algorithm applied to clustering techniques. Appl Soft Comput 60:423\u2013435","journal-title":"Appl Soft Comput"},{"key":"4945_CR11","volume-title":"Data mining: concepts and techniques","author":"J Han","year":"2011","unstructured":"Han J, Pei J, Kamber M (2011) Data mining: concepts and techniques. Elsevier, Amsterdam"},{"key":"4945_CR12","doi-asserted-by":"crossref","unstructured":"Abasi AK, Khader AT, Al-Betar MA, Naim S, Makhadmeh SN, Alyasseri ZAA (2019) A text feature selection technique based on binary multi-verse optimizer for text clustering. In: 2019 IEEE Jordan international joint conference on electrical engineering and information technology (JEEIT). IEEE, pp 1\u20136","DOI":"10.1109\/JEEIT.2019.8717491"},{"issue":"3","key":"4945_CR13","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1007\/s00521-015-2095-5","volume":"28","author":"G Sahoo","year":"2017","unstructured":"Sahoo G et al (2017) A two-step artificial bee colony algorithm for clustering. Neural Comput Appl 28(3):537\u2013551","journal-title":"Neural Comput Appl"},{"key":"4945_CR14","doi-asserted-by":"crossref","unstructured":"Alyasseri ZAA, Khadeer AT, Al-Betar MA, Abasi A, Makhadmeh S, Ali NS (2019) The effects of EEG feature extraction using multi-wavelet decomposition for mental tasks classification. In: Proceedings of the international conference on information and communication technology. ACM, pp 139\u2013146","DOI":"10.1145\/3321289.3321327"},{"key":"4945_CR15","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.compstruc.2012.09.003","volume":"112","author":"A Kaveh","year":"2012","unstructured":"Kaveh A, Khayatazad M (2012) A new meta-heuristic method: ray optimization. Comput Struct 112:283\u2013294","journal-title":"Comput Struct"},{"key":"4945_CR16","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.ins.2012.07.025","volume":"220","author":"R Forsati","year":"2013","unstructured":"Forsati R, Mahdavi M, Shamsfard M, Meybodi MR (2013) Efficient stochastic algorithms for document clustering. Inf Sci 220:269\u2013291","journal-title":"Inf Sci"},{"key":"4945_CR17","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"4945_CR18","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1007\/978-3-319-13826-8_14","volume-title":"Recent advances in swarm intelligence and evolutionary computation","author":"MM Zaw","year":"2015","unstructured":"Zaw MM, Mon EE (2015) Web document clustering by using PSO-based cuckoo search clustering algorithm. In: Yang XS (ed) Recent advances in swarm intelligence and evolutionary computation. Springer, Cham, pp 263\u2013281"},{"key":"4945_CR19","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"},{"key":"4945_CR20","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.knosys.2011.07.001","volume":"26","author":"W-T Pan","year":"2012","unstructured":"Pan W-T (2012) A new fruit fly optimization algorithm: taking the financial distress model as an example. Knowl Based Syst 26:69\u201374","journal-title":"Knowl Based Syst"},{"issue":"4","key":"4945_CR21","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1007\/s00521-015-1920-1","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S (2016) Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput Appl 27(4):1053\u20131073","journal-title":"Neural Comput Appl"},{"issue":"12","key":"4945_CR22","doi-asserted-by":"crossref","first-page":"4831","DOI":"10.1016\/j.cnsns.2012.05.010","volume":"17","author":"AH Gandomi","year":"2012","unstructured":"Gandomi AH, Alavi AH (2012) Krill herd: a new bio-inspired optimization algorithm. Commun Nonlinear Sci Numer Simul 17(12):4831\u20134845","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"4945_CR23","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.compstruc.2012.12.011","volume":"119","author":"SO Degertekin","year":"2013","unstructured":"Degertekin SO, Hayalioglu MS (2013) Sizing truss structures using teaching\u2013learning-based optimization. Comput Struct 119:177\u2013188","journal-title":"Comput Struct"},{"key":"4945_CR24","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.advengsoft.2015.01.010","volume":"83","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S (2015) The ant lion optimizer. Adv Eng Softw 83:80\u201398","journal-title":"Adv Eng Softw"},{"key":"4945_CR25","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.advengsoft.2013.03.004","volume":"59","author":"A Kaveh","year":"2013","unstructured":"Kaveh A, Farhoudi N (2013) A new optimization method: dolphin echolocation. Adv Eng Softw 59:53\u201370","journal-title":"Adv Eng Softw"},{"issue":"1","key":"4945_CR26","doi-asserted-by":"crossref","first-page":"1582","DOI":"10.1016\/j.eswa.2011.07.123","volume":"39","author":"T Cura","year":"2012","unstructured":"Cura T (2012) A particle swarm optimization approach to clustering. Expert Syst Appl 39(1):1582\u20131588","journal-title":"Expert Syst Appl"},{"issue":"2","key":"4945_CR27","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.aca.2003.12.032","volume":"509","author":"PS Shelokar","year":"2004","unstructured":"Shelokar PS, Jayaraman VK, Kulkarni BD (2004) An ant colony approach for clustering. Anal Chim Acta 509(2):187\u2013195","journal-title":"Anal Chim Acta"},{"key":"4945_CR28","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511814990","volume-title":"Science and ultimate reality: quantum theory, cosmology, and complexity","author":"JD Barrow","year":"2004","unstructured":"Barrow JD, Davies PCW, Harper CL Jr (2004) Science and ultimate reality: quantum theory, cosmology, and complexity. Cambridge University Press, Cambridge"},{"issue":"2","key":"4945_CR29","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1007\/s00521-015-1870-7","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Mirjalili SM, Hatamlou A (2016) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl 27(2):495\u2013513","journal-title":"Neural Comput Appl"},{"key":"4945_CR30","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.engappai.2018.03.013","volume":"72","author":"S Shukri","year":"2018","unstructured":"Shukri S, Faris H, Aljarah I, Mirjalili S, Abraham A (2018) Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer. Eng Appl Artif Intell 72:54\u201366","journal-title":"Eng Appl Artif Intell"},{"key":"4945_CR31","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1109\/JIOT.2018.2796243","volume":"5","author":"P Kumar","year":"2018","unstructured":"Kumar P, Garg S, Singh A, Batra S, You Ilsun N (2018) Mvo-based two-dimensional path planning scheme for providing quality of service in uav environment. IEEE Internet Things J 5:1698\u20131707","journal-title":"IEEE Internet Things J"},{"key":"4945_CR32","first-page":"1","volume":"48","author":"I Benmessahel","year":"2017","unstructured":"Benmessahel I, Xie K, Chellal M (2017) A new evolutionary neural networks based on intrusion detection systems using multiverse optimization. Appl Intell 48:1\u201313","journal-title":"Appl Intell"},{"key":"4945_CR33","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.petrol.2017.04.010","volume":"154","author":"D Janiga","year":"2017","unstructured":"Janiga D, Czarnota R, Stopa J, Wojnarowski P, Kosowski P (2017) Performance of nature inspired optimization algorithms for polymer enhanced oil recovery process. J Petrol Sci Eng 154:354\u2013366","journal-title":"J Petrol Sci Eng"},{"key":"4945_CR34","first-page":"1","volume":"31","author":"AA Ewees","year":"2017","unstructured":"Ewees AA, El Aziz MA, Hassanien AE (2017) Chaotic multi-verse optimizer-based feature selection. Neural Comput Appl 31:1\u201316","journal-title":"Neural Comput Appl"},{"key":"4945_CR35","first-page":"1","volume":"30","author":"H Faris","year":"2017","unstructured":"Faris H, Hassonah MA, Ala\u2019M A-Z, Mirjalili S, Aljarah I (2017) A multi-verse optimizer approach for feature selection and optimizing svm parameters based on a robust system architecture. Neural Comput Appl 30:1\u201315","journal-title":"Neural Comput Appl"},{"key":"4945_CR36","doi-asserted-by":"crossref","first-page":"10584","DOI":"10.1109\/ACCESS.2019.2962658","volume":"8","author":"ZAA Alyasseri","year":"2019","unstructured":"Alyasseri ZAA, Khader AT, Al-Betar MA, Abasi AK, Makhadmeh SN (2019) EEG signals denoising using optimal wavelet transform hybridized with efficient metaheuristic methods. IEEE Access 8:10584\u201310605","journal-title":"IEEE Access"},{"key":"4945_CR37","doi-asserted-by":"crossref","first-page":"109362","DOI":"10.1016\/j.rser.2019.109362","volume":"115","author":"SN Makhadmeh","year":"2019","unstructured":"Makhadmeh SN, Khader AT, Al-Betar MA, Naim S, Abasi AK, Alyasseri ZAA (2019) Optimization methods for power scheduling problems in smart home: survey. Renew Sustain Energy Rev 115:109362","journal-title":"Renew Sustain Energy Rev"},{"issue":"5","key":"4945_CR38","doi-asserted-by":"crossref","first-page":"2395","DOI":"10.1007\/s11227-018-2625-x","volume":"75","author":"M Shehab","year":"2019","unstructured":"Shehab M, Khader AT, Laouchedi M, Alomari OA (2019) Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization. J Supercomput 75(5):2395\u20132422","journal-title":"J Supercomput"},{"key":"4945_CR39","unstructured":"MacQueen J, et al (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, vol 1. Oakland, CA, USA, pp 281\u2013297"},{"issue":"2","key":"4945_CR40","doi-asserted-by":"crossref","first-page":"3336","DOI":"10.1016\/j.eswa.2008.01.039","volume":"36","author":"H-S Park","year":"2009","unstructured":"Park H-S, Jun C-H (2009) A simple and fast algorithm for k-medoids clustering. Expert Syst Appl 36(2):3336\u20133341","journal-title":"Expert Syst Appl"},{"key":"4945_CR41","volume-title":"Pattern recognition with fuzzy objective function algorithms","author":"JC Bezdek","year":"2013","unstructured":"Bezdek JC (2013) Pattern recognition with fuzzy objective function algorithms. Springer, Berlin"},{"key":"4945_CR42","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.patrec.2016.11.004","volume":"93","author":"C-H Chen","year":"2017","unstructured":"Chen C-H (2017) Improved tfidf in big news retrieval: an empirical study. Pattern Recogn Lett 93:113\u2013122","journal-title":"Pattern Recogn Lett"},{"key":"4945_CR43","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.eswa.2018.09.006","volume":"118","author":"SF Hussain","year":"2019","unstructured":"Hussain SF, Haris M (2019) A k-means based co-clustering (KCC) algorithm for sparse, high dimensional data. Expert Syst Appl 118:20\u201334","journal-title":"Expert Syst Appl"},{"issue":"11","key":"4945_CR44","first-page":"297","volume":"2","author":"S Vishwakarma","year":"2017","unstructured":"Vishwakarma S, Nair PS, Rao DS (2017) A comparative study of K-means and K-medoid clustering for social media text mining. Int J Adv Sci Res Eng Trends 2(11):297\u2013302","journal-title":"Int J Adv Sci Res Eng Trends"},{"key":"4945_CR45","unstructured":"Balabantaray RC, Sarma C, Jha M (2015) Document clustering using k-means and k-medoids. arXiv preprint arXiv:1502.07938"},{"key":"4945_CR46","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/978-1-4614-3223-4_4","volume-title":"Mining text data","author":"CC Aggarwal","year":"2012","unstructured":"Aggarwal CC, Zhai CX (2012) A survey of text clustering algorithms. In: Aggarwal C, Zhai C (eds) Mining text data. Springer, Boston, MA, pp 77\u2013128"},{"key":"4945_CR47","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.ygeno.2019.09.015","volume":"112","author":"MA Al-Betar","year":"2019","unstructured":"Al-Betar MA, Alomari OA, Abu-Romman SM (2019) A TRIZ-inspired bat algorithm for gene selection in cancer classification. Genomics 112:114\u2013126","journal-title":"Genomics"},{"key":"4945_CR48","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1007\/978-0-387-30164-8_630","volume-title":"Encyclopedia of machine learning","author":"T Zeugmann","year":"2011","unstructured":"Zeugmann T et al (2011) Particle swarm optimization. In: Sammut C, Webb GI (eds) Encyclopedia of machine learning. Springer, Boston, pp 760\u2013766"},{"key":"4945_CR49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2014.02.001","volume":"17","author":"S Alam","year":"2014","unstructured":"Alam S, Dobbie G, Koh YS, Riddle P, Ur Rehman S (2014) Research on particle swarm optimization based clustering: a systematic review of literature and techniques. Swarm Evolut Comput 17:1\u201313","journal-title":"Swarm Evolut Comput"},{"key":"4945_CR50","doi-asserted-by":"crossref","unstructured":"Esmin AAA, Coelho RA (2013) Consensus clustering based on particle swarm optimization algorithm. In: 2013 IEEE international conference on systems, man, and cybernetics. IEEE, pp 2280\u20132285","DOI":"10.1109\/SMC.2013.390"},{"key":"4945_CR51","doi-asserted-by":"crossref","unstructured":"Makhadmeh SN, Khader AT, Al-Betar MA, Naim S, Alyasseri ZAA, Abasi AK (2019) Particle swarm optimization algorithm for power scheduling problem using smart battery. In: 2019 IEEE Jordan international joint conference on electrical engineering and information technology (JEEIT). IEEE, pp 672\u2013677","DOI":"10.1109\/JEEIT.2019.8717468"},{"issue":"5","key":"4945_CR52","doi-asserted-by":"crossref","first-page":"9095","DOI":"10.1016\/j.eswa.2008.12.046","volume":"36","author":"W Song","year":"2009","unstructured":"Song W, Li CH, Park SC (2009) Genetic algorithm for text clustering using ontology and evaluating the validity of various semantic similarity measures. Expert Syst Appl 36(5):9095\u20139104","journal-title":"Expert Syst Appl"},{"key":"4945_CR53","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.ieri.2013.11.053","volume":"4","author":"R Akter","year":"2013","unstructured":"Akter R, Chung Y (2013) An evolutionary approach for document clustering. IERI Procedia 4:370\u2013375","journal-title":"IERI Procedia"},{"key":"4945_CR54","doi-asserted-by":"crossref","unstructured":"Karaa WBA, Ashour AS, Sassi DB, Roy P, Kausar N, Dey N (2016) Medline text mining: an enhancement genetic algorithm based approach for document clustering. In: Applications of intelligent optimization in biology and medicine. Springer, pp 267\u2013287","DOI":"10.1007\/978-3-319-21212-8_12"},{"key":"4945_CR55","unstructured":"Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical report, Technical report-tr06, Erciyes University, Engineering Faculty, Computer Engineering Department"},{"issue":"1","key":"4945_CR56","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/s10462-012-9328-0","volume":"42","author":"D Karaboga","year":"2014","unstructured":"Karaboga D, Gorkemli B, Ozturk C, Karaboga N (2014) A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artif Intell Rev 42(1):21\u201357","journal-title":"Artif Intell Rev"},{"key":"4945_CR57","doi-asserted-by":"crossref","unstructured":"Alia OM, Al-Betar MA, Mandava R, Khader AT (2011) Data clustering using harmony search algorithm. In: International conference on swarm, evolutionary, and memetic computing. Springer, pp 79\u201388","DOI":"10.1007\/978-3-642-27242-4_10"},{"issue":"6","key":"4945_CR58","doi-asserted-by":"crossref","first-page":"9847","DOI":"10.1016\/j.eswa.2009.02.003","volume":"36","author":"F Yang","year":"2009","unstructured":"Yang F, Sun T, Zhang C (2009) An efficient hybrid data clustering method based on k-harmonic means and particle swarm optimization. Expert Syst Appl 36(6):9847\u20139852","journal-title":"Expert Syst Appl"},{"issue":"1","key":"4945_CR59","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1016\/j.asoc.2009.12.025","volume":"11","author":"D Karaboga","year":"2011","unstructured":"Karaboga D, Ozturk C (2011) A novel clustering approach: artificial bee colony (ABC) algorithm. Appl Soft Comput 11(1):652\u2013657","journal-title":"Appl Soft Comput"},{"issue":"2","key":"4945_CR60","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/s00521-013-1485-9","volume":"25","author":"G-G Wang","year":"2014","unstructured":"Wang G-G, Gandomi AH, Alavi AH, Hao G-S (2014) Hybrid krill herd algorithm with differential evolution for global numerical optimization. Neural Comput Appl 25(2):297\u2013308","journal-title":"Neural Comput Appl"},{"issue":"5","key":"4945_CR61","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1504\/IJBIC.2016.079569","volume":"8","author":"G-G Wang","year":"2016","unstructured":"Wang G-G, Gandomi AH, Yang X-S, Alavi AH (2016) A new hybrid method based on krill herd and cuckoo search for global optimisation tasks. Int J Bio-Inspir Comput 8(5):286\u2013299","journal-title":"Int J Bio-Inspir Comput"},{"key":"4945_CR62","unstructured":"Huang A (2008) Similarity measures for text document clustering. In: Proceedings of the sixth New Zealand computer science research student conference (NZCSRSC2008), Christchurch, New Zealand, pp 49\u201356"},{"key":"4945_CR63","first-page":"1","volume":"49","author":"B Bansal","year":"2018","unstructured":"Bansal B, Srivastava S (2018) Hybrid attribute based sentiment classification of online reviews for consumer intelligence. Appl Intell 49:1\u201313","journal-title":"Appl Intell"},{"key":"4945_CR64","doi-asserted-by":"crossref","unstructured":"Cutting DR, Karger DR, Pedersen JO, Tukey JW (2017) Scatter\/gather: a cluster-based approach to browsing large document collections. In: ACM SIGIR forum, vol 51. ACM, pp 148\u2013159","DOI":"10.1145\/3130348.3130362"},{"issue":"2","key":"4945_CR65","first-page":"20285","volume":"6","author":"M Raghuvanshi","year":"2017","unstructured":"Raghuvanshi M, Patel R (2017) An improved document clustering with multiview point similarity\/dissimilarity measures. Int J Eng Comput Sci 6(2):20285\u201320288","journal-title":"Int J Eng Comput Sci"},{"key":"4945_CR66","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.knosys.2012.06.015","volume":"36","author":"C Bouras","year":"2012","unstructured":"Bouras C, Tsogkas V (2012) A clustering technique for news articles using wordnet. Knowl Based Syst 36:115\u2013128","journal-title":"Knowl Based Syst"},{"key":"4945_CR67","unstructured":"Collective Evolution (2018) New physics theory questions the big bang: how did our universe really begin? Accessed 9 Aug 2018"},{"key":"4945_CR68","unstructured":"Smithsonian Institution (2016) Can physicists ever prove the multiverse is real? Accessed 19 Apr 2016"},{"key":"4945_CR69","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2013.11.003","volume":"16","author":"SJ Nanda","year":"2014","unstructured":"Nanda SJ, Panda G (2014) A survey on nature inspired metaheuristic algorithms for partitional clustering. Swarm Evolut Comput 16:1\u201318","journal-title":"Swarm Evolut Comput"},{"key":"4945_CR70","doi-asserted-by":"crossref","unstructured":"Subhadra K, Shashi M, Das A (2015) Extended ACO based document clustering with hybrid distance metric. In: 2015 IEEE international conference on electrical, computer and communication technologies (ICECCT). IEEE, pp 1\u20136","DOI":"10.1109\/ICECCT.2015.7226090"},{"key":"4945_CR71","unstructured":"Abualigah LM, Sawaie AM, Khader AT et al (2017) \u03b2-Hill climbing technique for the text document clustering. In: Proceedings of the new trends in information technology (NTIT-2017). The University of Jordan, Amman, Jordan, 25\u201327 April 2017"},{"issue":"2","key":"4945_CR72","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1080\/0952813X.2018.1430858","volume":"30","author":"GI Sayed","year":"2018","unstructured":"Sayed GI, Darwish A, Hassanien AE (2018) A new chaotic multi-verse optimization algorithm for solving engineering optimization problems. J Exp Theor Artif Intell 30(2):293\u2013317","journal-title":"J Exp Theor Artif Intell"},{"issue":"2","key":"4945_CR73","first-page":"570","volume":"20","author":"P Jangir","year":"2017","unstructured":"Jangir P, Parmar SA, Trivedi IN, Bhesdadiya RH (2017) A novel hybrid particle swarm optimizer with multi verse optimizer for global numerical optimization and optimal reactive power dispatch problem. Eng Sci Technol Int J 20(2):570\u2013586","journal-title":"Eng Sci Technol Int J"},{"key":"4945_CR74","doi-asserted-by":"crossref","first-page":"2763","DOI":"10.1007\/s00521-017-3228-9","volume":"31","author":"GI Sayed","year":"2019","unstructured":"Sayed GI, Darwish A, Hassanien AE (2019) Quantum multiverse optimization algorithm for optimization problems. Neural Comput Appl 31:2763\u20132780","journal-title":"Neural Comput Appl"},{"issue":"7","key":"4945_CR75","doi-asserted-by":"crossref","first-page":"1591","DOI":"10.1007\/s00521-015-2110-x","volume":"28","author":"Arqub OA","year":"2017","unstructured":"OA Arqub (2017) Adaptation of reproducing kernel algorithm for solving fuzzy fredholm-volterra integrodifferential equations. Neural Comput Appl 28(7):1591\u20131610","journal-title":"Neural Comput Appl"},{"issue":"8","key":"4945_CR76","doi-asserted-by":"crossref","first-page":"3283","DOI":"10.1007\/s00500-015-1707-4","volume":"20","author":"OA Arqub","year":"2016","unstructured":"Arqub OA, Mohammed AL-S, Momani S, Hayat T (2016) Numerical solutions of fuzzy differential equations using reproducing kernel hilbert space method. Soft Comput 20(8):3283\u20133302","journal-title":"Soft Comput"},{"key":"4945_CR77","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04760-8","author":"MA Awadallah","year":"2020","unstructured":"Awadallah MA, Al-Betar MA, Bolaji AL, Doush IA, Hammouri AI, Mafarja M (2020) Island artificial bee colony for global optimization. Soft Comput. https:\/\/doi.org\/10.1007\/s00500-020-04760-8","journal-title":"Soft Comput"},{"issue":"2","key":"4945_CR78","doi-asserted-by":"crossref","first-page":"87","DOI":"10.3233\/FI-2019-1795","volume":"166","author":"OA Arqub","year":"2019","unstructured":"Arqub OA (2019) Application of residual power series method for the solution of time-fractional schrodinger equations in one-dimensional space. Fundam Inform 166(2):87\u2013110","journal-title":"Fundam Inform"},{"issue":"23","key":"4945_CR79","doi-asserted-by":"crossref","first-page":"7191","DOI":"10.1007\/s00500-016-2262-3","volume":"21","author":"OA Arqub","year":"2017","unstructured":"Arqub OA, Al-Smadi M, Momani S, Hayat T (2017) Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems. Soft Comput 21(23):7191\u20137206","journal-title":"Soft Comput"},{"issue":"3","key":"4945_CR80","first-page":"147","volume":"1","author":"M Deepa","year":"2012","unstructured":"Deepa M, Revathy P, Student P (2012) Validation of document clustering based on purity and entropy measures. Int J Adv Res Comput Commun Eng 1(3):147\u2013152","journal-title":"Int J Adv Res Comput Commun Eng"},{"key":"4945_CR81","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.ins.2014.12.058","volume":"301","author":"N Del Buono","year":"2015","unstructured":"Del Buono N, Pio G (2015) Non-negative matrix tri-factorization for co-clustering: an analysis of the block matrix. Inf Sci 301:13\u201326","journal-title":"Inf Sci"},{"issue":"7","key":"4945_CR82","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1109\/TKDE.2013.19","volume":"26","author":"Y-S Lin","year":"2014","unstructured":"Lin Y-S, Jiang J-Y, Lee S-J (2014) A similarity measure for text classification and clustering. IEEE Trans Knowl Data Eng 26(7):1575\u20131590","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4945_CR83","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.neucom.2015.02.048","volume":"159","author":"R Forsati","year":"2015","unstructured":"Forsati R, Keikha A, Shamsfard M (2015) An improved bee colony optimization algorithm with an application to document clustering. Neurocomputing 159:9\u201326","journal-title":"Neurocomputing"},{"issue":"10\u201311","key":"4945_CR84","first-page":"2786","volume":"44","author":"SC Tan","year":"2011","unstructured":"Tan SC, Ting KM, Teng SW (2011) A general stochastic clustering method for automatic cluster discovery. Pattern Recogn 44(10\u201311):2786\u20132799","journal-title":"Pattern Recogn"},{"issue":"4","key":"4945_CR85","doi-asserted-by":"crossref","first-page":"2264","DOI":"10.1016\/j.eswa.2014.10.023","volume":"42","author":"T Wei","year":"2015","unstructured":"Wei T, Yonghe L, Chang H, Zhou Q, Bao X (2015) A semantic approach for text clustering using wordnet and lexical chains. Expert Syst Appl 42(4):2264\u20132275","journal-title":"Expert Syst Appl"},{"key":"4945_CR86","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s12559-018-9611-8","volume":"11","author":"N Saini","year":"2019","unstructured":"Saini N, Saha S, Bhattacharyya P (2019) Automatic scientific document clustering using self-organized multi-objective differential evolution. Cogn Comput 11:271\u2013293","journal-title":"Cogn Comput"},{"key":"4945_CR87","doi-asserted-by":"crossref","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon F (1945) Individual comparisons by ranking methods. Biom Bull 1:80\u201383","journal-title":"Biom Bull"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04945-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-04945-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04945-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,30]],"date-time":"2023-09-30T22:25:29Z","timestamp":1696112729000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-04945-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,11]]},"references-count":87,"journal-issue":{"issue":"23","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["4945"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-04945-0","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,11]]},"assertion":[{"value":"26 July 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 April 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors state that there are no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}