{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:17:39Z","timestamp":1780053459256,"version":"3.54.0"},"reference-count":71,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,9,8]],"date-time":"2021-09-08T00:00:00Z","timestamp":1631059200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,8]],"date-time":"2021-09-08T00:00:00Z","timestamp":1631059200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004386","name":"Universiti Malaya","doi-asserted-by":"publisher","award":["UMRG RP043C-17HNE"],"award-info":[{"award-number":["UMRG RP043C-17HNE"]}],"id":[{"id":"10.13039\/501100004386","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":[[2022,1]]},"DOI":"10.1007\/s00521-021-06448-y","type":"journal-article","created":{"date-parts":[[2021,9,8]],"date-time":"2021-09-08T03:30:28Z","timestamp":1631071828000},"page":"1385-1406","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["Improved sine cosine algorithm with simulated annealing and singer chaotic map for Hadith classification"],"prefix":"10.1007","volume":"34","author":[{"given":"Mohammad","family":"Tubishat","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salinah","family":"Ja\u2019afar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Norisma","family":"Idris","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed Azmi","family":"Al-Betar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed","family":"Alswaitti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hazim","family":"Jarrah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maizatul Akmar","family":"Ismail","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mardian Shah","family":"Omar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,9,8]]},"reference":[{"key":"6448_CR1","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/j.compeleceng.2017.11.002","volume":"66","author":"D AbuZeina","year":"2018","unstructured":"AbuZeina D, Al-Anzi FS (2018) Employing fisher discriminant analysis for Arabic text classification. Comput Electr Eng 66:474\u2013486","journal-title":"Comput Electr Eng"},{"key":"6448_CR2","doi-asserted-by":"crossref","unstructured":"Afianto MF, Al-Faraby S et al. (2018) Text categorization on hadith Sahih Al-Bukhari using randomforest. In: Journal of physics: conference series, vol 971. IOP Publishing, 012037","DOI":"10.1088\/1742-6596\/971\/1\/012037"},{"key":"6448_CR3","series-title":"Lecture Notes in Computer Science","volume-title":"Advances in artificial intelligence: from theory to practice. IEA\/AIE","author":"B Afshar-Nadjafi","year":"2017","unstructured":"Afshar-Nadjafi B, Yazdani M, Majlesi M (2017) A hybrid of Tabu search and simulated annealing algorithms for preemptive project scheduling problem. In: Benferhat S, Tabia K, Ali M (eds) Advances in artificial intelligence: from theory to practice. IEA\/AIE, vol 10350. Lecture Notes in Computer Science. Springer, Cham"},{"issue":"1","key":"6448_CR4","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.ipm.2017.10.003","volume":"54","author":"FS Al-Anzi","year":"2018","unstructured":"Al-Anzi FS, AbuZeina D (2018) Beyond vector space model for hierarchical Arabic text classification: a Markov chain approach. Inf Process Manage 54(1):105\u2013115","journal-title":"Inf Process Manage"},{"issue":"2","key":"6448_CR5","first-page":"13","volume":"4","author":"MN Al-Kabi","year":"2007","unstructured":"Al-Kabi MN, Al-Sinjilawi SI (2007) A comparative study of the efficiency of different measures to classify Arabic text. Univ Sharjah J Pure Appl Sci 4(2):13\u201326","journal-title":"Univ Sharjah J Pure Appl Sci"},{"issue":"3","key":"6448_CR6","doi-asserted-by":"crossref","first-page":"584","DOI":"10.3923\/jas.2005.584.587","volume":"5","author":"MN Al-Kabi","year":"2005","unstructured":"Al-Kabi MN, Kanaan G, Al-Shalabi R, Al-Sinjilawi SI, Al-Mustafa RS (2005) Al-Hadith text classifier. J Appl Sci 5(3):584\u2013587","journal-title":"J Appl Sci"},{"key":"6448_CR7","unstructured":"Alkhatib M (2010) Classification of Al-Hadith Al-Shareef using data mining algorithm. In: European, mediterranean and middle eastern conference on information systems. EMCIS2010, Abu Dhabi, UAE, pp 1\u201323"},{"issue":"012046","key":"6448_CR8","first-page":"1","volume":"971","author":"Faraby S Al","year":"2018","unstructured":"Al Faraby S, Riviera E, Jasin R (2018) Classification of hadith into positive suggestion, negative suggestion, and information Classification of hadith into positive suggestion, negative suggestion, and information. J Phys Conf Ser 971(012046):1\u20138","journal-title":"J Phys Conf Ser"},{"key":"6448_CR9","unstructured":"El-Halees AM (2008) A comparative study on Arabic text classification. Egypt Comput Sci J 30(2)"},{"key":"6448_CR10","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1007\/s12559-017-9542-9","volume":"10","author":"I Aljarah","year":"2018","unstructured":"Aljarah I, Al-Zoubi AM, Faris H et al (2018) Simultaneous feature selection and support vector machine optimization using the grasshopper optimization algorithm. Cogn Comput 10:478\u2013495","journal-title":"Cogn Comput"},{"key":"6448_CR11","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"},{"key":"6448_CR12","doi-asserted-by":"crossref","unstructured":"Azmi R, Pishgoo B, Norozi N, Koohzadi M, Baesi F (2010) A hybrid GA and SA algorithms for feature selection in recognition of hand-printed Farsi characters. In: 2010 IEEE international conference on intelligent computing and intelligent systems, pp 384\u2013387","DOI":"10.1109\/ICICISYS.2010.5658728"},{"key":"6448_CR13","first-page":"225","volume":"32","author":"S Bahassine","year":"2018","unstructured":"Bahassine S, Madani A, Al-Sarem M, Kissi M (2018) Feature selection using an improved Chi-square for Arabic text classification. J King Saud Univ Comput Inf Sci 32:225\u2013231","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"6448_CR14","first-page":"454","volume":"32","author":"M Belazzoug","year":"2019","unstructured":"Belazzoug M, Touahria M, Nouioua F, Brahimi M (2019) An improved sine cosine algorithm to select features for text categorization. J King Saud Univ-Comput Inf Sci 32:454\u2013464","journal-title":"J King Saud Univ-Comput Inf Sci"},{"key":"6448_CR15","unstructured":"Breiman L, Friedman JH, Olshen RA, Stone CJ (1984) Classification and Regression Trees, The Wadsworth Statistics and Probability Series, Wadsworth International Group, Belmont California (pp. 356)"},{"issue":"5","key":"6448_CR16","doi-asserted-by":"crossref","first-page":"2670","DOI":"10.1016\/j.eswa.2014.11.009","volume":"42","author":"AS Eesa","year":"2015","unstructured":"Eesa AS, Orman Z, Brifcani AMA (2015) A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems. Expert Syst Appl 42(5):2670\u20132679","journal-title":"Expert Syst Appl"},{"key":"6448_CR17","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1016\/j.eswa.2017.07.043","volume":"90","author":"MA Elaziz","year":"2017","unstructured":"Elaziz MA, Oliva D, Xiong S (2017) An improved opposition-based sine cosine algorithm for global optimization. Expert Syst Appl 90:484\u2013500","journal-title":"Expert Syst Appl"},{"key":"6448_CR18","doi-asserted-by":"crossref","unstructured":"Elaziz Mohamed EA, Ewees AA, Oliva D, Duan P, Xiong S (2017) A hybrid method of sine cosine algorithm and differential evolution for feature selection. In: International conference on neural information processing, Springer, Berlin, pp 145\u2013155","DOI":"10.1007\/978-3-319-70139-4_15"},{"key":"6448_CR19","doi-asserted-by":"crossref","first-page":"186638","DOI":"10.1109\/ACCESS.2020.3029728","volume":"8","author":"ZM Elgamal","year":"2020","unstructured":"Elgamal ZM, Yasin NBM, Tubishat M, Alswaitti M, Mirjalili S (2020) An improved harris hawks optimization algorithm with simulated annealing for feature selection in the medical field. IEEE Access 8:186638\u2013186652","journal-title":"IEEE Access"},{"key":"6448_CR20","doi-asserted-by":"crossref","unstructured":"Emary E, Zawbaa HM, Grosan C, Hassenian AE (2015) Feature subset selection approach by gray-wolf optimization. In: Afro-European conference for industrial advancement. Springer, Cham, pp 1\u201313","DOI":"10.1007\/978-3-319-13572-4_1"},{"issue":"2","key":"6448_CR21","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s12293-016-0211-4","volume":"10","author":"Y Feng","year":"2018","unstructured":"Feng Y, Yang J, Wu C, Lu M, Zhao X-J (2018) Solving 0\u20131 knapsack problems by chaotic monarch butterfly optimization algorithm with Gaussian mutation. Memetic Comput 10(2):135\u2013150","journal-title":"Memetic Comput"},{"key":"6448_CR22","doi-asserted-by":"crossref","first-page":"106461","DOI":"10.1016\/j.knosys.2020.106461","volume":"208","author":"Z-K Feng","year":"2020","unstructured":"Feng Z-K, Liu S, Niu W-J, Li B-J, Wang W-C, Luo B, Miao S-M (2020) A modified sine cosine algorithm for accurate global optimization of numerical functions and multiple hydropower reservoirs operation. Knowl Based Syst 208:106461","journal-title":"Knowl Based Syst"},{"issue":"3","key":"6448_CR23","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1007\/s00500-016-2385-6","volume":"22","author":"S Gu","year":"2018","unstructured":"Gu S, Cheng R, Jin Y (2018) Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Comput 22(3):811\u2013822","journal-title":"Soft Comput"},{"key":"6448_CR24","doi-asserted-by":"crossref","first-page":"103779","DOI":"10.1016\/j.engappai.2020.103779","volume":"94","author":"W-Y Guo","year":"2020","unstructured":"Guo W-Y, Wang Y, Dai F, Xu P (2020) Improved sine cosine algorithm combined with optimal neighborhood and quadratic interpolation strategy. Eng Appl Artif Intell 94:103779","journal-title":"Eng Appl Artif Intell"},{"key":"6448_CR25","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.knosys.2018.12.008","volume":"165","author":"S Gupta","year":"2019","unstructured":"Gupta S, Deep K (2019) Improved sine cosine algorithm with crossover scheme for global optimization. Knowl-Based Syst 165:374\u2013406","journal-title":"Knowl-Based Syst"},{"issue":"13","key":"6448_CR26","doi-asserted-by":"crossref","first-page":"9521","DOI":"10.1007\/s00521-019-04465-6","volume":"32","author":"S Gupta","year":"2020","unstructured":"Gupta S, Deep K (2020) Hybrid sine cosine artificial bee colony algorithm for global optimization and image segmentation. Neural Comput Appl 32(13):9521\u20139543","journal-title":"Neural Comput Appl"},{"key":"6448_CR27","doi-asserted-by":"crossref","first-page":"106131","DOI":"10.1016\/j.knosys.2020.106131","volume":"203","author":"AI Hammouri","year":"2020","unstructured":"Hammouri AI, Mafarja M, Al-Betar MA, Awadallah MA, Abu-Doush I (2020) An improved Dragonfly Algorithm for feature selection. Knowl Based Syst 203:106131","journal-title":"Knowl Based Syst"},{"issue":"01","key":"6448_CR28","first-page":"1950021","volume":"9","author":"R Hans","year":"2020","unstructured":"Hans R, Kaur H (2020) Hybrid binary Sine Cosine Algorithm and Ant Lion Optimization (SCALO) approaches for feature selection problem. Int J Comput Mater Sci Eng 9(01):1950021","journal-title":"Int J Comput Mater Sci Eng"},{"key":"6448_CR29","doi-asserted-by":"crossref","unstructured":"Harrag F, El-Qawasmah E (2009) Neural network for Arabic text classification. In: Second international conference on the applications of digital information and web technologies. IEEE, London, UK, pp 778\u2013783","DOI":"10.1109\/ICADIWT.2009.5273841"},{"key":"6448_CR30","doi-asserted-by":"crossref","unstructured":"Harrag F, El-Qawasmah E, Al-Salman AMS (2011) Stemming as a feature reduction technique for Arabic Text Categorization. In: 2011 10th international symposium on programming and systems, pp 128\u2013133","DOI":"10.1109\/ISPS.2011.5898874"},{"key":"6448_CR31","doi-asserted-by":"crossref","first-page":"105746","DOI":"10.1016\/j.knosys.2020.105746","volume":"195","author":"P Hu","year":"2020","unstructured":"Hu P, Pan J-S, Chu S-C (2020) Improved binary grey wolf optimizer and its application for feature selection. Knowl Based Syst 195:105746","journal-title":"Knowl Based Syst"},{"key":"6448_CR32","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1016\/j.asoc.2017.07.023","volume":"60","author":"F Javidrad","year":"2017","unstructured":"Javidrad F, Nazari M (2017) A new hybrid particle swarm and simulated annealing stochastic optimization method. Appl Soft Comput 60:634\u2013654","journal-title":"Appl Soft Comput"},{"key":"6448_CR33","volume-title":"Chaos and fractals: new frontiers of science","author":"H Jurgens","year":"1992","unstructured":"Jurgens H, Peitgen H-O, Saupe D (1992) Chaos and fractals: new frontiers of science. New Springer-Verlag, New York"},{"key":"6448_CR34","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.compstruc.2019.01.006","volume":"214","author":"A Kaveh","year":"2019","unstructured":"Kaveh A, Javadi S (2019) Chaos-based firefly algorithms for optimization of cyclically large-size braced steel domes with multiple frequency constraints. Comput Struct 214:28\u201339","journal-title":"Comput Struct"},{"issue":"4598","key":"6448_CR35","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671\u2013680","journal-title":"Science"},{"key":"6448_CR36","doi-asserted-by":"crossref","first-page":"105813","DOI":"10.1016\/j.asoc.2019.105813","volume":"85","author":"S Lan","year":"2019","unstructured":"Lan S, Fan W, Liu T, Yang S (2019) A hybrid SCA-VNS meta-heuristic based on Iterated Hungarian algorithm for physicians and medical staff scheduling problem in outpatient department of large hospitals with multiple branches. Appl Soft Comput 85:105813","journal-title":"Appl Soft Comput"},{"key":"6448_CR37","unstructured":"Dua D, Graff C (2017) UCI machine learning repository. Retrieved from http:\/\/archive.ics.uci.edu\/ml"},{"key":"6448_CR38","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/j.asoc.2015.07.005","volume":"35","author":"Y Lu","year":"2015","unstructured":"Lu Y, Liang M, Ye Z, Cao L (2015) Improved particle swarm optimization algorithm and its application in text feature selection. Appl Soft Comput 35:629\u2013636","journal-title":"Appl Soft Comput"},{"key":"6448_CR39","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.asoc.2017.11.006","volume":"62","author":"M Mafarja","year":"2018","unstructured":"Mafarja M, Mirjalili S (2018) Whale optimization approaches for wrapper feature selection. Appl Soft Comput 62:441\u2013453","journal-title":"Appl Soft Comput"},{"key":"6448_CR40","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":"6448_CR41","doi-asserted-by":"crossref","unstructured":"Meedeniya D, Perera A (2009) Evaluation of partition-based text clustering techniques to categorize Indic language documents. In: 2009 IEE international advance computing conference, pp 1497\u20131500. IEEE","DOI":"10.1109\/IADCC.2009.4809239"},{"key":"6448_CR42","unstructured":"Meedeniya DA, Perera AS (2008) A comparative study on data representation to categorize text documents. In: Proceedings of the 20th international conference on software engineering and knowledge engineering (SEKE\u201908), pp 371\u2013374"},{"key":"6448_CR43","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"},{"key":"6448_CR44","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.asoc.2017.01.008","volume":"53","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Gandomi AH (2017) Chaotic gravitational constants for the gravitational search algorithm. Appl Soft Comput 53:407\u2013419","journal-title":"Appl Soft Comput"},{"issue":"6","key":"6448_CR45","doi-asserted-by":"crossref","first-page":"257","DOI":"10.14445\/22312803\/IJCTT-V18P154","volume":"18","author":"MM Najeeb","year":"2014","unstructured":"Najeeb MM (2014) Towards innovative system for Hadith Isnad processing. Int J Comput Trends Technol 18(6):257\u2013259","journal-title":"Int J Comput Trends Technol"},{"key":"6448_CR46","doi-asserted-by":"crossref","unstructured":"Najib SRM, Rahman NA, Ismail NK, Nor ZM, Alias MN, Alias N (2017) Comparative study of machine learning approach on malay translated Hadith text classification based on Sanad. In: 8th international conference on mechanical and manufacturing engineering 2017 (ICME\u201917) MATEC Web Conf, vol 135, pp 1\u20139","DOI":"10.1051\/matecconf\/201713500066"},{"key":"6448_CR47","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.apenergy.2017.05.029","volume":"200","author":"D Oliva","year":"2017","unstructured":"Oliva D, El Aziz MA, Hassanien AE (2017) Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm. Appl Energy 200:141\u2013154","journal-title":"Appl Energy"},{"key":"6448_CR48","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1016\/j.asej.2016.03.004","volume":"9","author":"S Potthuri","year":"2016","unstructured":"Potthuri S, Shankar T, Rajesh A (2016) Lifetime improvement in wireless sensor networks using hybrid differential evolution and simulated annealing (DESA). Ain Shams Eng J 9:655\u2013663","journal-title":"Ain Shams Eng J"},{"issue":"1","key":"6448_CR49","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1023\/B:AMAI.0000018580.96245.c6","volume":"41","author":"LE Raileanu","year":"2004","unstructured":"Raileanu LE, Stoffel K (2004) Theoretical comparison between the gini index and information gain criteria. Ann Math Artif Intell 41(1):77\u201393","journal-title":"Ann Math Artif Intell"},{"key":"6448_CR50","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2019.1623093","author":"SP Ramteke","year":"2019","unstructured":"Ramteke SP, Gurjar AA, Deshmukh DS (2019) A novel weighted SVM classifier based on SCA for handwritten marathi character recognition. IETE J Res. https:\/\/doi.org\/10.1080\/03772063.2019.1623093","journal-title":"IETE J Res"},{"issue":"1","key":"6448_CR51","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s12351-016-0253-x","volume":"18","author":"V Riahi","year":"2018","unstructured":"Riahi V, Kazemi M (2018) A new hybrid ant colony algorithm for scheduling of no-wait flowshop. Oper Res Int Journal 18(1):55\u201374","journal-title":"Oper Res Int Journal"},{"issue":"1","key":"6448_CR52","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/s10462-016-9458-x","volume":"46","author":"MA Saloot","year":"2016","unstructured":"Saloot MA, Idris N, Mahmud R, Ja\u2019afar R, Thorleuchter D, Gani A (2016) Hadith data mining and classification: a comparative analysis. Artif Intell Rev 46(1):113\u2013128","journal-title":"Artif Intell Rev"},{"issue":"1","key":"6448_CR53","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s00521-017-2988-6","volume":"31","author":"GI Sayed","year":"2019","unstructured":"Sayed GI, Hassanien AE, Azar AT (2019) Feature selection via a novel chaotic crow search algorithm. Neural Comput Appl 31(1):171\u2013188","journal-title":"Neural Comput Appl"},{"issue":"1","key":"6448_CR54","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1007\/s10489-018-1261-8","volume":"49","author":"GI Sayed","year":"2019","unstructured":"Sayed GI, Tharwat A, Hassanien AE (2019) Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection. Appl Intell 49(1):188\u2013205","journal-title":"Appl Intell"},{"key":"6448_CR55","doi-asserted-by":"crossref","unstructured":"Sharma N, Kaur A, Sharma H, Sharma A, Bansal JC (2019) Chaotic Spider Monkey Optimization Algorithm with Enhanced Learning Soft Computing for Problem Solving (pp. 149\u2013161): Springer.","DOI":"10.1007\/978-981-13-1592-3_11"},{"key":"6448_CR56","doi-asserted-by":"crossref","first-page":"121127","DOI":"10.1109\/ACCESS.2020.3006473","volume":"8","author":"R Sihwail","year":"2020","unstructured":"Sihwail R, Omar K, Ariffin KAZ, Tubishat M (2020) Improved harris hawks optimization using elite opposition-based learning and novel search mechanism for feature selection. IEEE Access 8:121127\u2013121145","journal-title":"IEEE Access"},{"issue":"4","key":"6448_CR57","doi-asserted-by":"crossref","first-page":"3669","DOI":"10.1007\/s13369-018-3617-0","volume":"44","author":"MA Tawhid","year":"2019","unstructured":"Tawhid MA, Savsani P (2019) Discrete sine-cosine algorithm (DSCA) with local search for solving traveling salesman problem. Arab J Sci Eng 44(4):3669\u20133679","journal-title":"Arab J Sci Eng"},{"issue":"1\u20132","key":"6448_CR58","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1007\/s10479-016-2237-x","volume":"270","author":"A Tayal","year":"2018","unstructured":"Tayal A, Singh SP (2018) Integrating big data analytic and hybrid firefly-chaotic simulated annealing approach for facility layout problem. Ann Oper Res 270(1\u20132):489\u2013514","journal-title":"Ann Oper Res"},{"key":"6448_CR59","doi-asserted-by":"publisher","first-page":"1688","DOI":"10.1007\/s10489-018-1334-8","volume":"49","author":"M Tubishat","year":"2019","unstructured":"Tubishat M, Abushariah MAM, Idris N et al (2019) Improved whale optimization algorithm for feature selection in Arabic sentiment analysis. Appl Intell 49:1688\u20131707. https:\/\/doi.org\/10.1007\/s10489-018-1334-8","journal-title":"Appl Intell"},{"key":"6448_CR60","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 (2020) Dynamic butterfly optimization algorithm for feature selection. IEEE Access 8:194303\u2013194314","journal-title":"IEEE Access"},{"key":"6448_CR61","doi-asserted-by":"crossref","first-page":"113122","DOI":"10.1016\/j.eswa.2019.113122","volume":"145","author":"M Tubishat","year":"2020","unstructured":"Tubishat M, Idris N, Shuib L, Abushariah MA, Mirjalili S (2020) Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection. Expert Syst Appl 145:113122","journal-title":"Expert Syst Appl"},{"key":"6448_CR62","doi-asserted-by":"crossref","first-page":"113873","DOI":"10.1016\/j.eswa.2020.113873","volume":"164","author":"M Tubishat","year":"2020","unstructured":"Tubishat M, Ja\u2019afar S, Alswaitti M, Mirjalili S, Idris N, Ismail MA, Omar MS (2020) Dynamic Salp swarm algorithm for feature selection. Expert Syst Appl 164:113873","journal-title":"Expert Syst Appl"},{"key":"6448_CR63","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2021.02.006","volume":"563","author":"M Wan","year":"2021","unstructured":"Wan M, Chen X, Zhan T, Xu C, Yang G, Zhou H (2021) Sparse fuzzy two-dimensional discriminant local preserving projection (SF2DDLPP) for robust image feature extraction. Inf Sci 563:1\u201315","journal-title":"Inf Sci"},{"issue":"14","key":"6448_CR64","doi-asserted-by":"crossref","first-page":"5511","DOI":"10.1007\/s00500-018-3207-9","volume":"23","author":"M Wan","year":"2019","unstructured":"Wan M, Yang G, Sun C, Liu M (2019) Sparse two-dimensional discriminant locality-preserving projection (S2DDLPP) for feature extraction. Soft Comput 23(14):5511\u20135518","journal-title":"Soft Comput"},{"key":"6448_CR65","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.neucom.2017.04.060","volume":"267","author":"M Wang","year":"2017","unstructured":"Wang M, Chen H, Yang B, Zhao X, Hu L, Cai Z, Huang H, Tong C (2017) Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses. Neurocomputing 267:69\u201384","journal-title":"Neurocomputing"},{"issue":"1","key":"6448_CR66","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":"6448_CR67","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.asoc.2015.01.043","volume":"31","author":"J Xiang","year":"2015","unstructured":"Xiang J, Han X, Duan F, Qiang Y, Xiong X, Lan Y, Chai H (2015) A novel hybrid system for feature selection based on an improved gravitational search algorithm and k-NN method. Appl Soft Comput 31:293\u2013307","journal-title":"Appl Soft Comput"},{"key":"6448_CR68","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.chemolab.2018.11.010","volume":"184","author":"C Yan","year":"2019","unstructured":"Yan C, Ma J, Luo H, Patel A (2019) Hybrid binary coral reefs optimization algorithm with simulated annealing for feature selection in high-dimensional biomedical datasets. Chemom Intell Lab Syst 184:102\u2013111","journal-title":"Chemom Intell Lab Syst"},{"key":"6448_CR69","doi-asserted-by":"publisher","unstructured":"Zawbaa HM, Emary E, Parv B, Sharawi M (2016) Feature selection approach based on moth-flame optimization algorithm. In: 2016 IEEE congress on evolutionary computation (CEC), pp 4612\u20134617. https:\/\/doi.org\/10.1109\/CEC.2016.7744378","DOI":"10.1109\/CEC.2016.7744378"},{"issue":"1","key":"6448_CR70","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1007\/s00500-016-2322-8","volume":"22","author":"X Zhang","year":"2018","unstructured":"Zhang X, Feng T (2018) Chaotic bean optimization algorithm. Soft Comput 22(1):67\u201377","journal-title":"Soft Comput"},{"key":"6448_CR71","doi-asserted-by":"crossref","unstructured":"Zhao Y, Zou F, Chen D (2019) A discrete sine cosine algorithm for community detection. In: International conference on intelligent computing. Springer, pp 35\u201344","DOI":"10.1007\/978-3-030-26763-6_4"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06448-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-06448-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06448-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T15:31:06Z","timestamp":1642779066000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-06448-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,8]]},"references-count":71,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["6448"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-06448-y","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,8]]},"assertion":[{"value":"16 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 August 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 September 2021","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 that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}