{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T22:50:07Z","timestamp":1778799007865,"version":"3.51.4"},"reference-count":93,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T00:00:00Z","timestamp":1668556800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T00:00:00Z","timestamp":1668556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Meteorological information and Signal Processing Key Laboratory of Sichuan Higher Education Institutes, Chengdu University of Information Technology","award":["QXXCSYS201704"],"award-info":[{"award-number":["QXXCSYS201704"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s13042-022-01703-7","type":"journal-article","created":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T13:05:10Z","timestamp":1668603910000},"page":"1333-1364","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Binary African vultures optimization algorithm for various optimization problems"],"prefix":"10.1007","volume":"14","author":[{"given":"Mingyang","family":"Xi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qixian","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaorong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,16]]},"reference":[{"key":"1703_CR1","volume-title":"Engineering optimization: theory and practice","author":"SS Rao","year":"2019","unstructured":"Rao SS (2019) Engineering optimization: theory and practice. John Wiley and Sons"},{"key":"1703_CR2","volume-title":"Algorithms illuminated (Part4): algorithms for NP-hard problems","author":"T Roughgarden","year":"2020","unstructured":"Roughgarden T (2020) Algorithms illuminated (Part4): algorithms for NP-hard problems. Soundlikeyourself publishing"},{"key":"1703_CR3","doi-asserted-by":"crossref","unstructured":"Festa P (2014) A brief introduction to exact, approximation, and heuristic algorithms for solving hard combinatorial optimization problems. In: 2014 16th International Conference on Transparent Optical Networks (ICTON) (pp. 1\u201320).","DOI":"10.1109\/ICTON.2014.6876285"},{"key":"1703_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2019.03.004","volume":"48","author":"FS Gharehchopogh","year":"2019","unstructured":"Gharehchopogh FS, Gholizadeh H (2019) A comprehensive survey: whale optimization algorithm and its applications. Swarm Evol Comput 48:1\u201324","journal-title":"Swarm Evol Comput"},{"key":"1703_CR5","first-page":"185","volume-title":"Metaheuristic algorithms: a comprehensive review. Computational intelligence for multimedia big data on the cloud with engineering applications","author":"M Abdel-Basset","year":"2018","unstructured":"Abdel-Basset M, Abdel-Fatah L, Sangaiah AK (2018) Metaheuristic algorithms: a comprehensive review. Computational intelligence for multimedia big data on the cloud with engineering applications. Elsevier, pp 185\u2013231"},{"issue":"3","key":"1703_CR6","doi-asserted-by":"crossref","DOI":"10.1002\/dac.4670","volume":"34","author":"H Mohammadzadeh","year":"2021","unstructured":"Mohammadzadeh H, Gharehchopogh FS (2021) A multi-agent system based for solving high-dimensional optimization problems: a case study on email spam detection. Int J Commun Syst 34(3):e4670","journal-title":"Int J Commun Syst"},{"issue":"8","key":"1703_CR7","doi-asserted-by":"crossref","first-page":"4385","DOI":"10.1007\/s00521-018-3343-2","volume":"31","author":"S Arora","year":"2019","unstructured":"Arora S, Anand P (2019) Chaotic grasshopper optimization algorithm for global optimization. Neural Comput Appl 31(8):4385\u20134405","journal-title":"Neural Comput Appl"},{"issue":"4","key":"1703_CR8","first-page":"469","volume":"6","author":"A Kaveh","year":"2016","unstructured":"Kaveh A, Zolghadr A (2016) A novel meta-heuristic algorithm: tug of war optimization. Iran Univ Sci Technol 6(4):469\u2013492","journal-title":"Iran Univ Sci Technol"},{"issue":"3","key":"1703_CR9","doi-asserted-by":"crossref","first-page":"1981","DOI":"10.1007\/s10586-021-03304-5","volume":"25","author":"FS Gharehchopogh","year":"2022","unstructured":"Gharehchopogh FS, Abdollahzadeh B (2022) An efficient Harris hawk optimization algorithm for solving the travelling salesman problem. Clust Comput 25(3):1981\u20132005","journal-title":"Clust Comput"},{"issue":"3","key":"1703_CR10","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1007\/s13042-013-0195-z","volume":"6","author":"WL Chang","year":"2015","unstructured":"Chang WL, Zeng D, Chen RC, Guo S (2015) An artificial bee colony algorithm for data collection path planning in sparse wireless sensor networks. Int J Mach Learn Cybern 6(3):375\u2013383","journal-title":"Int J Mach Learn Cybern"},{"issue":"3","key":"1703_CR11","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1007\/s13042-017-0731-3","volume":"10","author":"M Abdel-Basset","year":"2019","unstructured":"Abdel-Basset M, El-Shahat D, Sangaiah AK (2019) A modified nature inspired meta-heuristic whale optimization algorithm for solving 0\u20131 knapsack problem. Int J Mach Learn Cybern 10(3):495\u2013514","journal-title":"Int J Mach Learn Cybern"},{"issue":"1","key":"1703_CR12","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1111\/coin.12397","volume":"37","author":"H Mohammadzadeh","year":"2021","unstructured":"Mohammadzadeh H, Gharehchopogh FS (2021) A novel hybrid whale optimization algorithm with flower pollination algorithm for feature selection: case study email spam detection. Comput Intell 37(1):176\u2013209","journal-title":"Comput Intell"},{"key":"1703_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1108\/EC-02-2020-0073","volume":"38","author":"B Abdollahzadeh","year":"2021","unstructured":"Abdollahzadeh B, Gharehchopogh FS (2021) A multi-objective optimization algorithm for feature selection problems. Eng Comput 38:1\u201319","journal-title":"Eng Comput"},{"key":"1703_CR14","doi-asserted-by":"crossref","first-page":"140936","DOI":"10.1109\/ACCESS.2020.3013617","volume":"8","author":"Y Gao","year":"2020","unstructured":"Gao Y, Zhou Y, Luo Q (2020) An efficient binary equilibrium optimizer algorithm for feature selection. IEEE Access 8:140936\u2013140963","journal-title":"IEEE Access"},{"key":"1703_CR15","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2021.107408","volume":"158","author":"B Abdollahzadeh","year":"2021","unstructured":"Abdollahzadeh B, Gharehchopogh FS, Mirjalili S (2021) African vultures optimization algorithm: a new nature-inspired metaheuristic algorithm for global optimization problems. Comput Ind Eng 158:107408","journal-title":"Comput Ind Eng"},{"issue":"17","key":"1703_CR16","doi-asserted-by":"crossref","DOI":"10.1002\/cpe.6310","volume":"33","author":"FS Gharehchopogh","year":"2021","unstructured":"Gharehchopogh FS, Farnad B, Alizadeh A (2021) A modified farmland fertility algorithm for solving constrained engineering problems. Concurr Comput: Pract Exp 33(17):e6310","journal-title":"Concurr Comput: Pract Exp"},{"issue":"1","key":"1703_CR17","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1023\/A:1025850513781","volume":"20","author":"SM Thede","year":"2004","unstructured":"Thede SM (2004) An introduction to genetic algorithms. J Comput Sci Coll 20(1):115\u2013123","journal-title":"J Comput Sci Coll"},{"issue":"1","key":"1703_CR18","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","volume":"15","author":"S Das","year":"2010","unstructured":"Das S, Suganthan PN (2010) Differential evolution: a survey of the well-known. IEEE Trans Evol Comput 15(1):4\u201331","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"1703_CR19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/106365603321828970","volume":"11","author":"N Hansen","year":"2003","unstructured":"Hansen N, M\u00fcller SD, Koumoutsakos P (2003) Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evol Comput 11(1):1\u201318","journal-title":"Evol Comput"},{"key":"1703_CR20","volume":"205","author":"S Li","year":"2020","unstructured":"Li S, Gu Q, Gong W, Ning B (2020) An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models. Energy Convers Manag 205:112443","journal-title":"Energy Convers Manag"},{"issue":"11","key":"1703_CR21","doi-asserted-by":"crossref","first-page":"2640","DOI":"10.3390\/s19112640","volume":"19","author":"J Xin","year":"2019","unstructured":"Xin J, Zhong J, Yang F, Cui Y, Sheng J (2019) An improved genetic algorithm for path-planning of unmanned surface vehicle. Sensors 19(11):2640","journal-title":"Sensors"},{"issue":"13","key":"1703_CR22","doi-asserted-by":"crossref","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi E, Nezamabadi-Pour H, Saryazdi S (2009) GSA: a gravitational search algorithm. Inf Sci 179(13):2232\u20132248","journal-title":"Inf Sci"},{"issue":"06","key":"1703_CR23","doi-asserted-by":"crossref","first-page":"1630001","DOI":"10.1142\/S0218213016300015","volume":"25","author":"N Siddique","year":"2016","unstructured":"Siddique N, Adeli H (2016) Simulated annealing, its variants and engineering applications. Int J Artif Intell Tools 25(06):1630001","journal-title":"Int J Artif Intell Tools"},{"issue":"10","key":"1703_CR24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s42452-020-03511-6","volume":"2","author":"M Dehghani","year":"2020","unstructured":"Dehghani M, Samet H (2020) Momentum search algorithm: a new meta-heuristic optimization algorithm inspired by momentum conservation law. SN Appl Sci 2(10):1\u201315","journal-title":"SN Appl Sci"},{"key":"1703_CR25","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2021.107224","volume":"156","author":"H Karami","year":"2021","unstructured":"Karami H, Anaraki MV, Farzin S, Mirjalili S (2021) Flow direction algorithm (FDA): a novel optimization approach for solving optimization problems. Comput Ind Eng 156:107224","journal-title":"Comput Ind Eng"},{"key":"1703_CR26","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1016\/j.future.2019.07.015","volume":"101","author":"FA Hashim","year":"2019","unstructured":"Hashim FA, Houssein EH, Mabrouk MS, Al-Atabany W, Mirjalili S (2019) Henry gas solubility optimization: a novel physics-based algorithm. Futur Gener Comput Syst 101:646\u2013667","journal-title":"Futur Gener Comput Syst"},{"key":"1703_CR27","doi-asserted-by":"crossref","unstructured":"Dehghani M, Montazeri Z, Dehghani A, Seifi A (2017) Spring search algorithm: a new meta-heuristic optimization algorithm inspired by Hooke's law. In 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI) (pp. 0210\u20130214).","DOI":"10.1109\/KBEI.2017.8324975"},{"key":"1703_CR28","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2019.118200","volume":"240","author":"AM Fathollahi-Fard","year":"2019","unstructured":"Fathollahi-Fard AM, Govindan K, Hajiaghaei-Keshteli M, Ahmadi A (2019) A green home health care supply chain: new modified simulated annealing algorithms. J Clean Prod 240:118200","journal-title":"J Clean Prod"},{"key":"1703_CR29","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"},{"key":"1703_CR30","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.asoc.2013.12.008","volume":"16","author":"M Khatibinia","year":"2014","unstructured":"Khatibinia M, Khosravi S (2014) A hybrid approach based on an improved gravitational search algorithm and orthogonal crossover for optimal shape design of concrete gravity dams. Appl Soft Comput 16:223\u2013233","journal-title":"Appl Soft Comput"},{"issue":"1","key":"1703_CR31","first-page":"231","volume":"193","author":"Y Jiang","year":"2007","unstructured":"Jiang Y, Hu T, Huang C, Wu X (2007) An improved particle swarm optimization algorithm. Appl Math Comput 193(1):231\u2013239","journal-title":"Appl Math Comput"},{"issue":"4","key":"1703_CR32","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.plrev.2005.10.001","volume":"2","author":"C Blum","year":"2005","unstructured":"Blum C (2005) Ant colony optimization: introduction and recent trends. Phys Life Rev 2(4):353\u2013373","journal-title":"Phys Life Rev"},{"key":"1703_CR33","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":"1703_CR34","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113377","volume":"152","author":"A Faramarzi","year":"2020","unstructured":"Faramarzi A, Heidarinejad M, Mirjalili S, Gandomi AH (2020) Marine predators algorithm: a nature-inspired metaheuristic. Expert Syst Appl 152:113377","journal-title":"Expert Syst Appl"},{"key":"1703_CR35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11831-021-09698-0","volume":"29","author":"FS Gharehchopogh","year":"2022","unstructured":"Gharehchopogh FS (2022) Advances in tree seed algorithm: a comprehensive survey. Arch Comput Methods Eng 29:1\u201324","journal-title":"Arch Comput Methods Eng"},{"key":"1703_CR36","doi-asserted-by":"crossref","first-page":"162059","DOI":"10.1109\/ACCESS.2021.3133286","volume":"9","author":"M Dehghani","year":"2021","unstructured":"Dehghani M, Hub\u00e1lovsk\u00fd \u0160, Trojovsk\u00fd P (2021) Northern goshawk optimization: a new swarm-based algorithm for solving optimization problems. IEEE Access 9:162059\u2013162080","journal-title":"IEEE Access"},{"key":"1703_CR37","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.106926","volume":"222","author":"G Dhiman","year":"2021","unstructured":"Dhiman G (2021) SSC: a hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications. Knowl-Based Syst 222:106926","journal-title":"Knowl-Based Syst"},{"key":"1703_CR38","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.108320","volume":"242","author":"FA Hashim","year":"2022","unstructured":"Hashim FA, Hussien AG (2022) Snake optimizer: a novel meta-heuristic optimization algorithm. Knowl-Based Syst 242:108320","journal-title":"Knowl-Based Syst"},{"key":"1703_CR39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11042-022-12409-x","volume":"81","author":"ST Shishavan","year":"2022","unstructured":"Shishavan ST, Gharehchopogh FS (2022) An improved cuckoo search optimization algorithm with genetic algorithm for community detection in complex networks. Multimed Tools Appl 81:1\u201327","journal-title":"Multimed Tools Appl"},{"issue":"15","key":"1703_CR40","doi-asserted-by":"crossref","first-page":"5160","DOI":"10.3390\/app10155160","volume":"10","author":"SS Sammen","year":"2020","unstructured":"Sammen SS, Ghorbani MA, Malik A, Tikhamarine Y, AmirRahmani M, Al-Ansari N, Chau KW (2020) Enhanced artificial neural network with Harris hawks optimization for predicting scour depth downstream of ski-jump spillway. Appl Sci 10(15):5160","journal-title":"Appl Sci"},{"key":"1703_CR41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s42235-022-00185-1","volume":"19","author":"FS Gharehchopogh","year":"2022","unstructured":"Gharehchopogh FS (2022) An improved tunicate swarm algorithm with best-random mutation strategy for global optimization problems. J Bionic Eng 19:1\u201326","journal-title":"J Bionic Eng"},{"key":"1703_CR42","doi-asserted-by":"crossref","unstructured":"Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: 2007 IEEE congress on evolutionary computation (pp. 4661\u20134667).","DOI":"10.1109\/CEC.2007.4425083"},{"issue":"3","key":"1703_CR43","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","volume":"43","author":"RV Rao","year":"2011","unstructured":"Rao RV, Savsani VJ, Vakharia DP (2011) Teaching\u2013learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Des 43(3):303\u2013315","journal-title":"Comput Aided Des"},{"key":"1703_CR44","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.engappai.2019.08.025","volume":"86","author":"SHS Moosavi","year":"2019","unstructured":"Moosavi SHS, Bardsiri VK (2019) Poor and rich optimization algorithm: a new human-based and multi populations algorithm. Eng Appl Artif Intell 86:165\u2013181","journal-title":"Eng Appl Artif Intell"},{"issue":"13","key":"1703_CR45","doi-asserted-by":"crossref","first-page":"4567","DOI":"10.3390\/s21134567","volume":"21","author":"M Dehghani","year":"2021","unstructured":"Dehghani M, Trojovsk\u00fd P (2021) Teamwork optimization algorithm: a new optimization approach for function minimization\/maximization. Sensors 21(13):4567","journal-title":"Sensors"},{"issue":"20","key":"1703_CR46","doi-asserted-by":"crossref","first-page":"12915","DOI":"10.1007\/s00500-021-06229-8","volume":"25","author":"A Naik","year":"2021","unstructured":"Naik A, Satapathy SC (2021) Past present future: a new human-based algorithm for stochastic optimization. Soft Comput 25(20):12915\u201312976","journal-title":"Soft Comput"},{"issue":"3","key":"1703_CR47","first-page":"710","volume":"20","author":"RV Rao","year":"2013","unstructured":"Rao RV, Patel V (2013) An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems. Scientia Iranica 20(3):710\u2013720","journal-title":"Scientia Iranica"},{"issue":"4","key":"1703_CR48","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.1007\/s12652-021-02955-x","volume":"13","author":"K Thirumoorthy","year":"2022","unstructured":"Thirumoorthy K, Muneeswaran K (2022) An elitism based self-adaptive multi-population poor and rich optimization algorithm for grouping similar documents. J Ambient Intell Humaniz Comput 13(4):1925\u20131939","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"1703_CR49","doi-asserted-by":"crossref","unstructured":"Kashan AH (2009) League championship algorithm: a new algorithm for numerical function optimization. In 2009 international conference of soft computing and pattern recognition (pp. 43\u201348).","DOI":"10.1109\/SoCPaR.2009.21"},{"key":"1703_CR50","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.swevo.2014.02.002","volume":"17","author":"N Moosavian","year":"2014","unstructured":"Moosavian N, Roodsari BK (2014) Soccer league competition algorithm: a novel meta-heuristic algorithm for optimal design of water distribution networks. Swarm Evol Comput 17:14\u201324","journal-title":"Swarm Evol Comput"},{"key":"1703_CR51","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.asoc.2017.11.043","volume":"64","author":"R Moghdani","year":"2018","unstructured":"Moghdani R, Salimifard K (2018) Volleyball premier league algorithm. Appl Soft Comput 64:161\u2013185","journal-title":"Appl Soft Comput"},{"issue":"5","key":"1703_CR52","first-page":"514","volume":"13","author":"M Dehghani","year":"2020","unstructured":"Dehghani M, Mardaneh M, Guerrero JM, Malik O, Kumar V (2020) Football game based optimization: an application to solve energy commitment problem. Int J Intell Eng Syst 13(5):514\u2013523","journal-title":"Int J Intell Eng Syst"},{"issue":"10","key":"1703_CR53","first-page":"216","volume":"13","author":"M Dehghani","year":"2020","unstructured":"Dehghani M, Montazeri Z, Saremi S, Dehghani A, Malik OP, Al-Haddad K, Guerrero JM (2020) HOGO: hide objects game optimization. Int J Intell Eng Syst 13(10):216","journal-title":"Int J Intell Eng Syst"},{"issue":"5","key":"1703_CR54","first-page":"286","volume":"13","author":"M Dehghani","year":"2020","unstructured":"Dehghani M, Montazeri Z, Givi H, Guerrero JM, Dhiman G (2020) Darts game optimizer: a new optimization technique based on darts game. Int J Intell Eng Syst 13(5):286\u2013294","journal-title":"Int J Intell Eng Syst"},{"key":"1703_CR55","first-page":"273","volume":"15","author":"FA Zeidabadi","year":"2022","unstructured":"Zeidabadi FA, Dehghani M (2022) Poa: puzzle optimization algorithm. Int J Intell Eng Syst 15:273\u2013281","journal-title":"Int J Intell Eng Syst"},{"issue":"1","key":"1703_CR56","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1007\/s10845-015-1099-4","volume":"29","author":"W Xu","year":"2018","unstructured":"Xu W, Wang R, Yang J (2018) An improved league championship algorithm with free search and its application on production scheduling. J Intell Manuf 29(1):165\u2013174","journal-title":"J Intell Manuf"},{"key":"1703_CR57","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.105781","volume":"196","author":"R Moghdani","year":"2020","unstructured":"Moghdani R, Salimifard K, Demir E, Benyettou A (2020) Multi-objective volleyball premier league algorithm. Knowl-Based Syst 196:105781","journal-title":"Knowl-Based Syst"},{"key":"1703_CR58","doi-asserted-by":"crossref","DOI":"10.1016\/j.chemolab.2020.104104","volume":"204","author":"OS Qasim","year":"2020","unstructured":"Qasim OS, Al-Thanoon NA, Algamal ZY (2020) Feature selection based on chaotic binary black hole algorithm for data classification. Chemom Intell Lab Syst 204:104104","journal-title":"Chemom Intell Lab Syst"},{"issue":"8","key":"1703_CR59","doi-asserted-by":"crossref","first-page":"9102","DOI":"10.1007\/s11227-021-03626-6","volume":"77","author":"H Mohmmadzadeh","year":"2021","unstructured":"Mohmmadzadeh H, Gharehchopogh FS (2021) An efficient binary chaotic symbiotic organisms search algorithm approaches for feature selection problems. J Supercomput 77(8):9102\u20139144","journal-title":"J Supercomput"},{"key":"1703_CR60","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.114288","volume":"168","author":"A Chaudhuri","year":"2021","unstructured":"Chaudhuri A, Sahu TP (2021) Feature selection using binary crow search algorithm with time varying flight length. Expert Syst Appl 168:114288","journal-title":"Expert Syst Appl"},{"issue":"3","key":"1703_CR61","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10922-022-09653-9","volume":"30","author":"TS Naseri","year":"2022","unstructured":"Naseri TS, Gharehchopogh FS (2022) A feature selection based on the farmland fertility algorithm for improved intrusion detection systems. J Netw Syst Manage 30(3):1\u201327","journal-title":"J Netw Syst Manage"},{"issue":"01","key":"1703_CR62","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1142\/S0219622020500546","volume":"20","author":"H Mohammadzadeh","year":"2021","unstructured":"Mohammadzadeh H, Gharehchopogh FS (2021) Feature selection with binary symbiotic organisms search algorithm for email spam detection. Int J Inf Technol Decis Mak 20(01):469\u2013515","journal-title":"Int J Inf Technol Decis Mak"},{"issue":"3","key":"1703_CR63","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1007\/s00521-013-1525-5","volume":"25","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Yang XS (2014) Binary bat algorithm. Neural Comput Appl 25(3):663\u2013681","journal-title":"Neural Comput Appl"},{"issue":"1","key":"1703_CR64","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1007\/s13042-020-01165-9","volume":"12","author":"Z Li","year":"2021","unstructured":"Li Z, He Y, Li Y, Guo X (2021) A hybrid grey wolf optimizer for solving the product knapsack problem. Int J Mach Learn Cybern 12(1):201\u2013222","journal-title":"Int J Mach Learn Cybern"},{"issue":"17","key":"1703_CR65","doi-asserted-by":"crossref","first-page":"11027","DOI":"10.1007\/s00521-020-05560-9","volume":"33","author":"KK Ghosh","year":"2021","unstructured":"Ghosh KK, Guha R, Bera SK, Kumar N, Sarkar R (2021) S-shaped versus V-shaped transfer functions for binary manta ray foraging optimization in feature selection problem. Neural Comput Appl 33(17):11027\u201311041","journal-title":"Neural Comput Appl"},{"key":"1703_CR66","doi-asserted-by":"crossref","DOI":"10.1016\/j.engfailanal.2021.105323","volume":"123","author":"J Jafari-Asl","year":"2021","unstructured":"Jafari-Asl J, Azizyan G, Monfared SAH, Rashki M, Andrade-Campos AG (2021) An enhanced binary dragonfly algorithm based on a V-shaped transfer function for optimization of pump scheduling program in water supply systems (case study of Iran). Eng Fail Anal 123:105323","journal-title":"Eng Fail Anal"},{"key":"1703_CR67","doi-asserted-by":"crossref","first-page":"97890","DOI":"10.1109\/ACCESS.2020.2996611","volume":"8","author":"KK Ghosh","year":"2020","unstructured":"Ghosh KK, Singh PK, Hong J, Geem ZW, Sarkar R (2020) Binary social mimic optimization algorithm with x-shaped transfer function for feature selection. IEEE Access 8:97890\u201397906","journal-title":"IEEE Access"},{"issue":"3","key":"1703_CR68","doi-asserted-by":"crossref","first-page":"3998","DOI":"10.1007\/s11227-021-04015-9","volume":"78","author":"MJ Goldanloo","year":"2022","unstructured":"Goldanloo MJ, Gharehchopogh FS (2022) A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems. J Supercomput 78(3):3998\u20134031","journal-title":"J Supercomput"},{"issue":"7","key":"1703_CR69","doi-asserted-by":"crossref","first-page":"5277","DOI":"10.1007\/s00500-020-05527-x","volume":"25","author":"W Deng","year":"2021","unstructured":"Deng W, Shang S, Cai X, Zhao H, Song Y, Xu J (2021) An improved differential evolution algorithm and its application in optimization problem. Soft Comput 25(7):5277\u20135298","journal-title":"Soft Comput"},{"key":"1703_CR70","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.ins.2020.07.013","volume":"542","author":"IM Ali","year":"2021","unstructured":"Ali IM, Essam D, Kasmarik K (2021) Novel binary differential evolution algorithm for knapsack problems. Inf Sci 542:177\u2013194","journal-title":"Inf Sci"},{"key":"1703_CR71","volume":"195","author":"P Hu","year":"2020","unstructured":"Hu P, Pan JS, Chu SC (2020) Improved binary grey wolf optimizer and its application for feature selection. Knowl-Based Syst 195:105746","journal-title":"Knowl-Based Syst"},{"key":"1703_CR72","volume":"151","author":"M Abdel-Basset","year":"2021","unstructured":"Abdel-Basset M, Mohamed R, Chakrabortty RK, Ryan M, Mirjalili S (2021) New binary marine predators optimization algorithms for 0\u20131 knapsack problems. Comput Ind Eng 151:106949","journal-title":"Comput Ind Eng"},{"key":"1703_CR73","doi-asserted-by":"crossref","first-page":"152081","DOI":"10.1109\/ACCESS.2020.3015585","volume":"8","author":"Y Zhu","year":"2020","unstructured":"Zhu Y, Gao H (2020) Improved binary artificial fish swarm algorithm and fast constraint processing for large scale unit commitment. IEEE Access 8:152081\u2013152092","journal-title":"IEEE Access"},{"key":"1703_CR74","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8896570","author":"G Manita","year":"2020","unstructured":"Manita G, Korbaa O (2020) Binary political optimizer for feature selection using gene expression data. Comput Intell Neurosci. https:\/\/doi.org\/10.1155\/2020\/8896570","journal-title":"Comput Intell Neurosci"},{"key":"1703_CR75","doi-asserted-by":"crossref","unstructured":"Jaramillo A, Crawford B, Soto R, Villablanca SM, Rubio \u00c1G, Salas J, Olgu\u00edn E (2016) Solving the set covering problem with the soccer league competition algorithm. In: International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Springer, Cham, pp. 884\u2013891","DOI":"10.1007\/978-3-319-42007-3_75"},{"key":"1703_CR76","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-022-00726-x","author":"D Chauhan","year":"2022","unstructured":"Chauhan D, Yadav A (2022) Binary artificial electric field algorithm. Evol Intel. https:\/\/doi.org\/10.1007\/s12065-022-00726-x","journal-title":"Evol Intel"},{"issue":"3","key":"1703_CR77","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1007\/s11047-009-9175-3","volume":"9","author":"E Rashedi","year":"2010","unstructured":"Rashedi E, Nezamabadi-Pour H, Saryazdi S (2010) BGSA: binary gravitational search algorithm. Nat Comput 9(3):727\u2013745","journal-title":"Nat Comput"},{"key":"1703_CR78","doi-asserted-by":"crossref","DOI":"10.1016\/j.cma.2020.113609","volume":"376","author":"L Abualigah","year":"2021","unstructured":"Abualigah L, Diabat A, Mirjalili S, Abd Elaziz M, Gandomi AH (2021) The arithmetic optimization algorithm. Comput Methods Appl Mech Eng 376:113609","journal-title":"Comput Methods Appl Mech Eng"},{"issue":"19","key":"1703_CR79","doi-asserted-by":"crossref","first-page":"14825","DOI":"10.1007\/s00500-020-04834-7","volume":"24","author":"Q Fan","year":"2020","unstructured":"Fan Q, Chen Z, Xia Z (2020) A novel quasi-reflected Harris hawks optimization algorithm for global optimization problems. Soft Comput 24(19):14825\u201314843","journal-title":"Soft Comput"},{"issue":"12","key":"1703_CR80","doi-asserted-by":"crossref","first-page":"3445","DOI":"10.1007\/s13042-019-00931-8","volume":"10","author":"N Al-Madi","year":"2019","unstructured":"Al-Madi N, Faris H, Mirjalili S (2019) Binary multi-verse optimization algorithm for global optimization and discrete problems. Int J Mach Learn Cybern 10(12):3445\u20133465","journal-title":"Int J Mach Learn Cybern"},{"key":"1703_CR81","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1007\/978-981-15-3290-0_19","volume-title":"Soft computing for problem solving 2019","author":"S Mirjalili","year":"2020","unstructured":"Mirjalili S, Zhang H, Mirjalili S, Chalup S, Noman N (2020) A novel U-shaped transfer function for binary particle swarm optimisation. Soft computing for problem solving 2019. Springer, Singapore, pp 241\u2013259"},{"key":"1703_CR82","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/978-981-10-8863-6_9","volume-title":"Recent trends in signal and image processing","author":"AG Hussien","year":"2019","unstructured":"Hussien AG, Hassanien AE, Houssein EH, Bhattacharyya S, Amin M (2019) S-shaped binary whale optimization algorithm for feature selection. Recent trends in signal and image processing. Springer, Singapore, pp 79\u201387"},{"issue":"6","key":"1703_CR83","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1080\/0305215X.2019.1624740","volume":"52","author":"AG Hussien","year":"2020","unstructured":"Hussien AG, Hassanien AE, Houssein EH, Amin M, Azar AT (2020) New binary whale optimization algorithm for discrete optimization problems. Eng Optim 52(6):945\u2013959","journal-title":"Eng Optim"},{"key":"1703_CR84","doi-asserted-by":"crossref","unstructured":"Zhao J, Gao ZM (2020) Simulation research on the binary equilibrium optimization algorithm. In: Proceedings of the 2020 12th International Conference on Machine Learning and Computing (pp. 140\u2013144).","DOI":"10.1145\/3383972.3384063"},{"key":"1703_CR85","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1007\/978-1-4612-4380-9_16","volume-title":"Breakthroughs in statistics","author":"F Wilcoxon","year":"1992","unstructured":"Wilcoxon F (1992) Individual comparisons by ranking methods. Breakthroughs in statistics. Springer, New York, NY, pp 196\u2013202"},{"key":"1703_CR86","doi-asserted-by":"crossref","unstructured":"Elhosseini MA (2020) Performance validation of jaya algorithm to the most well-known testbench problem. In: 2020 3rd International Conference on Computer Applications Information Security (ICCAIS)\u00a0(pp. 1\u20136).","DOI":"10.1109\/ICCAIS48893.2020.9096739"},{"issue":"4","key":"1703_CR87","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1007\/s00366-018-0675-6","volume":"35","author":"A Kaveh","year":"2019","unstructured":"Kaveh A, Mahjoubi S (2019) Hypotrochoid spiral optimization approach for sizing and layout optimization of truss structures with multiple frequency constraints. Eng Comput 35(4):1443\u20131462","journal-title":"Eng Comput"},{"issue":"4","key":"1703_CR88","doi-asserted-by":"crossref","first-page":"3167","DOI":"10.1007\/s00366-020-00989-x","volume":"37","author":"S Kaur","year":"2021","unstructured":"Kaur S, Awasthi LK, Sangal AL (2021) HMOSHSSA: a hybrid meta-heuristic approach for solving constrained optimization problems. Eng Comput 37(4):3167\u20133203","journal-title":"Eng Comput"},{"key":"1703_CR89","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2020.103541","volume":"90","author":"S Kaur","year":"2020","unstructured":"Kaur S, Awasthi LK, Sangal AL, Dhiman G (2020) Tunicate swarm algorithm: a new bio-inspired based metaheuristic paradigm for global optimization. Eng Appl Artif Intell 90:103541","journal-title":"Eng Appl Artif Intell"},{"key":"1703_CR90","doi-asserted-by":"crossref","unstructured":"Aziz H, Chan H, Lee B, Li B, Walsh T (2020) Facility location problem with capacity constraints: algorithmic and mechanism design perspectives. In: Proceedings of the AAAI Conference on Artificial Intelligence\u00a0(Vol. 34, No. 02, pp. 1806\u20131813).","DOI":"10.1609\/aaai.v34i02.5547"},{"issue":"7","key":"1703_CR91","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1007\/s13042-017-0772-7","volume":"9","author":"S Korkmaz","year":"2018","unstructured":"Korkmaz S, Babalik A, Kiran MS (2018) An artificial algae algorithm for solving binary optimization problems. Int J Mach Learn Cybern 9(7):1233\u20131247","journal-title":"Int J Mach Learn Cybern"},{"key":"1703_CR92","doi-asserted-by":"crossref","unstructured":"Pratiwi AB, Pamungkas R, Suprajitno H (2020) Plants inspired algorithms for uncapacitated facility location problems. In: AIP Conference Proceedings (Vol. 2264, No. 1, p. 140002). AIP Publishing LLC.","DOI":"10.1063\/5.0023481"},{"key":"1703_CR93","doi-asserted-by":"crossref","unstructured":"Beasley JE (1990) OR-Library: distributing test problems by electronic mail. Journal of the operational research society, 41(11): 1069\u20131072. http:\/\/people.brunel.ac.uk\/~mastjjb\/jeb\/orlib\/capinfo.html","DOI":"10.1057\/jors.1990.166"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-022-01703-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-022-01703-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-022-01703-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,18]],"date-time":"2023-03-18T08:20:25Z","timestamp":1679127625000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-022-01703-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,16]]},"references-count":93,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["1703"],"URL":"https:\/\/doi.org\/10.1007\/s13042-022-01703-7","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,16]]},"assertion":[{"value":"17 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 October 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2022","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"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was not required as no human or animals were involved.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}