{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T02:21:53Z","timestamp":1779934913640,"version":"3.53.1"},"reference-count":81,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T00:00:00Z","timestamp":1706486400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T00:00:00Z","timestamp":1706486400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71772191"],"award-info":[{"award-number":["71772191"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1007\/s00500-023-09385-1","type":"journal-article","created":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T08:02:53Z","timestamp":1706515373000},"page":"4051-4105","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A novel human-inspirited collectivism teaching\u2013learning-based optimization algorithm with multi-mode group-individual cooperation strategies"],"prefix":"10.1007","volume":"28","author":[{"given":"Zhixiang","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,1,29]]},"reference":[{"key":"9385_CR1","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.anucene.2019.05.025","volume":"133","author":"A Ahmad","year":"2019","unstructured":"Ahmad A, S-ul-I A (2019) Teaching-learning based optimization algorithm for core reload pattern optimization of a research reactor. An Nucl Energy 133:169\u2013177","journal-title":"An Nucl Energy"},{"issue":"5","key":"9385_CR2","doi-asserted-by":"crossref","first-page":"2175","DOI":"10.3233\/IFS-130892","volume":"26","author":"E Azad-Farsani","year":"2014","unstructured":"Azad-Farsani E, Are M, Azizipanah-Abarghooww R, Askarian-Abyaneh H (2014) A new hybrid CPSO-TLBO optimization algorithm for distribution network reconfiguring. J Intel Fuzzy Syst 26(5):2175\u20132184","journal-title":"J Intel Fuzzy Syst"},{"key":"9385_CR3","doi-asserted-by":"crossref","unstructured":"Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an optimization for optimization inspired by imperialist competition. In: Proceedings of the 2007 IEEE congress on evolutionary computation, CEC2007, 4661\u20137.","DOI":"10.1109\/CEC.2007.4425083"},{"key":"9385_CR4","unstructured":"Basturk B, Karaboga B (2006) An artificial bee colony (ABC) algorithm for numerical function optimization. In: Proceedings of the IEEE swarm intelligence symposium, 12\u201314."},{"key":"9385_CR97","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1016\/j.asoc.2018.09.019","volume":"73","author":"SN Chegini","year":"2018","unstructured":"Chegini SN, Bagheri A, Najafi F (2018) PSOSCALF: a new hybrid PSO based on sine cosine algorithm and Levy flight for solving optimization problems. App Soft Comput J 73:697\u2013726","journal-title":"App Soft Comput J"},{"key":"9385_CR5","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.ins.2014.11.001","volume":"297","author":"D Chen","year":"2015","unstructured":"Chen D, Zou F, Li Z, Wang J, Li S (2015) An improved teaching-learning-based optimization for solving global optimization problem. Inform Sci 297:171\u2013190","journal-title":"Inform Sci"},{"key":"9385_CR6","doi-asserted-by":"crossref","first-page":"1096","DOI":"10.1016\/j.neucom.2015.08.068","volume":"173","author":"D Chen","year":"2016","unstructured":"Chen D, Lu R, Zou F, Li S (2016) Teaching-learning-based optimization with variable-population scheme and its application for ANN and global optimization. Neurocomputing 173:1096\u20131111","journal-title":"Neurocomputing"},{"key":"9385_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113612","author":"H Chen","year":"2020","unstructured":"Chen H, Li W, Yang X (2020) A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems. Expert Syst Appl. https:\/\/doi.org\/10.1016\/j.eswa.2020.113612","journal-title":"Expert Syst Appl"},{"key":"9385_CR8","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2020.100766","volume":"60","author":"Z Chen","year":"2021","unstructured":"Chen Z, Liu Y, Yang Z et al (2021) An enhanced teaching-learning-based optimization algorithm with self-adaptive and learning operators and its search bias towards origin. Swarm and Evolut Comput 60:100766","journal-title":"Swarm and Evolut Comput"},{"key":"9385_CR9","first-page":"3009","volume":"29","author":"M-Y Cheng","year":"2018","unstructured":"Cheng M-Y, Prayogo D (2018) Fuzzy adaptive teaching-learning-based optimization for global numerical optimization. Neural Comput Appl 29:3009\u20133327","journal-title":"Neural Comput Appl"},{"key":"9385_CR10","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.neucom.2016.10.001","volume":"22","author":"T Cheng","year":"2017","unstructured":"Cheng T, Chen M, Fleming PJ (2017) A new hybrid teaching -learning based multi-objective particle swarm optimization. Neurocomputing 22:11\u201325","journal-title":"Neurocomputing"},{"key":"9385_CR11","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.ins.2012.05.009","volume":"212","author":"M Crepinsek","year":"2012","unstructured":"Crepinsek M, Liu S-H, Mernik L (2012) A note on teaching-learning based optimization algorithm. Inform Sci 212:79\u201393","journal-title":"Inform Sci"},{"key":"9385_CR12","doi-asserted-by":"crossref","first-page":"5313","DOI":"10.1007\/s00500-019-04280-0","volume":"24","author":"S Deb","year":"2020","unstructured":"Deb S, Gao X-Z, Tammi K, Kalita K, Mahanta P (2020) A New Teaching\u2013Learning-based Chicken Swarm Optimization Algorithm. Soft Comput 24:5313\u20135331","journal-title":"Soft Comput"},{"issue":"Suppl 2","key":"9385_CR13","first-page":"1","volume":"8","author":"F Dib","year":"2017","unstructured":"Dib F, Bounmhidi I (2017) Hybrid algorithm DE-TLBO for optimal H\u221dand PID control for multimachine power system. Int J Syst Assurance Eng Manag 8(Suppl 2):1\u201312","journal-title":"Int J Syst Assurance Eng Manag"},{"key":"9385_CR14","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.ins.2020.09.073","volume":"556","author":"H Dong","year":"2021","unstructured":"Dong H, Wang P, Fu C, Song B (2021a) Kriging-assisted teaching-learning-based optimization to solve computationally expensive constrained problems. Inform Sci 556:404\u2013435","journal-title":"Inform Sci"},{"key":"9385_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106934","author":"H Dong","year":"2021","unstructured":"Dong H, Wang P, Yu X, Song B (2021b) Surrogate-assisted teaching-learning-based optimization for high-dimensional and computationally expensive constrained problems. Appl Soft Comput. https:\/\/doi.org\/10.1016\/j.asoc.2020.106934","journal-title":"Appl Soft Comput"},{"key":"9385_CR16","unstructured":"Eberhart RC, Kennedy J (1995) A new optimizer using particle swarm theory. In: Proceedings of the sixth international symposium on micro machine and human science, pp 39\u201343"},{"key":"9385_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09952-0","author":"AE Ezugwu","year":"2021","unstructured":"Ezugwu AE, Shukla AK, Nath R et al (2021) Metaheuristics: a comprehensive overview and classification along bibliometric analysis. Artif Intell Rev. https:\/\/doi.org\/10.1007\/s10462-020-09952-0","journal-title":"Artif Intell Rev"},{"key":"9385_CR18","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1007\/s10462-018-09676-2","volume":"53","author":"F Fausto","year":"2020","unstructured":"Fausto F, Reyna-Orta A, Cuevas E, Andrade AG, Perez-Cisneros M (2020) From ants to whales: metaheuristics for all tastes. Artif Intell Rev 53:753\u2013810","journal-title":"Artif Intell Rev"},{"issue":"3","key":"9385_CR19","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1080\/18756891.2016.1175815","volume":"9","author":"F Ge","year":"2016","unstructured":"Ge F, Hong L, Shi L (2016) An autonomous teaching-learning based optimization algorithm for single objective global optimization. Int J Comput Int Syst 9(3):506\u2013524","journal-title":"Int J Comput Int Syst"},{"key":"9385_CR20","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.enconman.2018.12.088","volume":"183","author":"C Guo","year":"2019","unstructured":"Guo C, Lu J, Tian Z, Guo W, Darvishan A (2019) Optimization of critical parameters of PEM fuel cell using TLBO-DE based on Elman neural network. Energ Convers Manage 183:149\u2013158","journal-title":"Energ Convers Manage"},{"key":"9385_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113510","author":"S Gupta","year":"2020","unstructured":"Gupta S, Deep K, Heidari AA, Moayedi H, Wang M (2020) Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis. Expert Syst Appl. https:\/\/doi.org\/10.1016\/j.eswa.2020.113510","journal-title":"Expert Syst Appl"},{"key":"9385_CR22","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/8341275","author":"X He","year":"2016","unstructured":"He X, Huang J, Rao Y, Gao L (2016) Chaotic teaching-learning-based optimization with Levy flight for global numerical optimization. Comput Intel Neurosc. https:\/\/doi.org\/10.1155\/2016\/8341275","journal-title":"Comput Intel Neurosc"},{"key":"9385_CR23","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1016\/j.future.2019.02.028","volume":"97","author":"AA Heidari","year":"2019","unstructured":"Heidari AA, Mirjialili S, Faris H, Aljarah I, Mafarja M, Chen H (2019) Harris hawks optimization: algorithm and applications. Future Gener Comp Sy 97:849\u2013872","journal-title":"Future Gener Comp Sy"},{"key":"9385_CR131","doi-asserted-by":"crossref","unstructured":"Holland JH (1992) Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence, 1st edition, Ann Arbor, MI: The University pf Michigan Press, 1992","DOI":"10.7551\/mitpress\/1090.001.0001"},{"key":"9385_CR24","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1016\/j.asoc.2017.04.029","volume":"57","author":"X Ji","year":"2017","unstructured":"Ji X, Ye H, Zhou J, Yin Y, Shen X (2017) An improved teaching-learning based optimization algorithm and its application to a combinatorial optimization problem in foundry industry. Appl Soft Comput 57:504\u2013516","journal-title":"Appl Soft Comput"},{"key":"9385_CR25","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.swevo.2018.02.013","volume":"44","author":"M Jain","year":"2019","unstructured":"Jain M, Singh V, Rani A (2019) A novel nature-inspired algorithm for optimization: squirrel search algorithm. Swarm and Evolut Comput 44:148\u2013175","journal-title":"Swarm and Evolut Comput"},{"key":"9385_CR26","unstructured":"Jiang X, Zhou J (2013) Hybrid DE-TLBO algorithm for solving short term hydro-thermal optimal scheduling with incommensurable objectives. In: Proceedings of the 32nd Chinese Control Conference, 26\u201328 July 2013, Xian, China"},{"key":"9385_CR27","doi-asserted-by":"crossref","first-page":"628","DOI":"10.1016\/j.eswa.2014.08.006","volume":"42","author":"R Kadambur","year":"2015","unstructured":"Kadambur R, Kotecha P (2015) Multi-level production planning in a petrochemical industry using elitist teaching-learning-based-optimization. Expert Syst Appl 42:628\u2013641","journal-title":"Expert Syst Appl"},{"key":"9385_CR116","doi-asserted-by":"crossref","first-page":"113338","DOI":"10.1016\/j.eswa.2020.113338","volume":"149","author":"M Khishe","year":"2020","unstructured":"Khishe M, Mosavi MR (2020) Chimp optimization algorithm. Expert Syst Appl 149:113338","journal-title":"Expert Syst Appl"},{"issue":"110252","key":"9385_CR28","first-page":"1","volume":"263","author":"D Lei","year":"2023","unstructured":"Lei D, Su B (2023) A multi-class teaching\u2013learning-based optimization for multi-objective distributed hybrid flow shop scheduling. Knowl-Based Syst 263(110252):1\u201311","journal-title":"Knowl-Based Syst"},{"key":"9385_CR29","volume":"225","author":"S Li","year":"2020","unstructured":"Li S, Gong W, Wang L, Yan X, Hu C (2020) A hybrid adaptive teaching\u2013learning-based optimization and differential evolution for parameter identification of photovoltaic models. Energ Convers Manage 225:113474","journal-title":"Energ Convers Manage"},{"key":"9385_CR99","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.ins.2014.04.050","volume":"280","author":"WH Lim","year":"2014","unstructured":"Lim WH, Isa NAM (2014) Bidirectional teaching and peer-learning particle swarm optimization. Inf Sci 280:111\u2013134","journal-title":"Inf Sci"},{"issue":"106599","key":"9385_CR30","first-page":"1","volume":"212","author":"Y Ma","year":"2021","unstructured":"Ma Y, Zhang J, Song J et al (2021) A modified teaching-learning-based optimization algorithm for solving optimization problem. Knowledge -Based Syst 212(106599):1\u20133","journal-title":"Knowledge -Based Syst"},{"key":"9385_CR31","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":"9385_CR32","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Lewis A (2016) The Whale Optimization. Adv Eng Softw 95:51\u201367","journal-title":"Adv Eng Softw"},{"key":"9385_CR141","doi-asserted-by":"crossref","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey Wolf optimizer. Adv Eng Softw 69:46\u201361","DOI":"10.1016\/j.advengsoft.2013.12.007"},{"key":"9385_CR33","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1007\/s11047-020-09811-5","volume":"20","author":"N Mittal","year":"2021","unstructured":"Mittal N, Garg A, Singh P, Singh S, Singh H (2021) Improvement in learning enthusiasm-based TLBO algorithm with enhanced exploration and exploitation properties. Nat Comput 20:577\u2013609","journal-title":"Nat Comput"},{"key":"9385_CR34","doi-asserted-by":"crossref","unstructured":"Nama S, Saha A K M, Sharma S (2020) A hybrid TLBO algorithm by quadratic approximation for function optimization and its application. In: Balas VE et al. Recent Trends and Advances in Artificial Intelligence and Internet of Things, Intelligent Systems Reference Library 172, Springer Nature Switzerland AG2020. Chapter 30, 291\u2013341","DOI":"10.1007\/978-3-030-32644-9_30"},{"key":"9385_CR35","first-page":"533","volume":"265","author":"H Ouyang","year":"2015","unstructured":"Ouyang H, Gao L, Kong X, Zou D, Li S (2015) Teaching-learning based optimization with global crossover for global optimization problems. Appl Math Comput 265:533\u2013556","journal-title":"Appl Math Comput"},{"issue":"1107","key":"9385_CR36","first-page":"1","volume":"135","author":"SDK Ram","year":"2023","unstructured":"Ram SDK, Srivastava S, Mishra KK (2023) Redefining teaching-and-learning-process in TLBO and its application in cloud. Appl Soft Comput 135(1107):1\u201322","journal-title":"Appl Soft Comput"},{"issue":"3","key":"9385_CR38","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. Sci Iran 20(3):710\u2013720","journal-title":"Sci Iran"},{"key":"9385_CR41","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-learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Design 43:303\u2013315","journal-title":"Comput Aided Design"},{"key":"9385_CR42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2011.08.006","volume":"183","author":"RV Rao","year":"2012","unstructured":"Rao RV, Savsani VJ, Vakharia DP (2012) Teaching-learning-based optimization: an optimization method for continuous non-linear large-scale problems. Inform Sci 183:1\u201315","journal-title":"Inform Sci"},{"key":"9385_CR113","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 179:2232-2248","journal-title":"Inf Sci"},{"issue":"5","key":"9385_CR111","first-page":"392","volume":"57","author":"PK Roy","year":"2014","unstructured":"Roy PK, Paul C, Sultana S (2014) Oppositional teaching-learning-based optimization approach for combined heat and power dispatch. Int J Electr Power Energy Syst 57(5):392\u2013403","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"9385_CR44","doi-asserted-by":"crossref","first-page":"23","DOI":"10.5267\/j.dsl.2012.10.005","volume":"2","author":"SC Satapathy","year":"2013","unstructured":"Satapathy SC, Naik A (2013) Improved teaching learning-based optimization for global function optimization. Decis Sci Lett 2(1):23\u201334","journal-title":"Decis Sci Lett"},{"key":"9385_CR100","doi-asserted-by":"crossref","unstructured":"Satapathy SC, Naik A (2014) Modified teaching-learning-based optimization algorithm for global numerical optimization-a comparative study. Swarm Evo Comput 16:28\u201337","DOI":"10.1016\/j.swevo.2013.12.005"},{"issue":"3","key":"9385_CR43","doi-asserted-by":"crossref","first-page":"429","DOI":"10.4236\/am.2013.43064","volume":"4","author":"SC Satapathy","year":"2013","unstructured":"Satapathy SC, Naik A, Parvathi K (2013) Weighted teaching-learning-based optimization for global function optimization. Appl Mathematics 4(3):429\u2013439","journal-title":"Appl Mathematics"},{"key":"9385_CR95","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.sigpro.2016.07.035","volume":"131","author":"S Shahbeig","year":"2017","unstructured":"Shahbeig S, Helfroush MS, Rahideh A (2017) A fuzzy multi-objective hybrid TLBO\u2013PSO approach to select the associated genes with breast cancer. Sign Process 131:58\u201365","journal-title":"Sign Process"},{"key":"9385_CR45","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s40435-018-0455-6","volume":"7","author":"M Shahrouzi","year":"2019","unstructured":"Shahrouzi M, Rafiee-Alavijeh F, Aghabaglou M (2019) Configuration design of structures under dynamic constraints by a hybrid bat algorithm and teaching\u2013learning based optimization. Int J Dyn Control 7:419\u2013429","journal-title":"Int J Dyn Control"},{"key":"9385_CR46","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.asoc.2017.08.020","volume":"61","author":"W Shao","year":"2017","unstructured":"Shao W, Pi D, Shao Z (2017) An extended teaching-learning based optimization algorithm for solving no-wait flow shop scheduling problem. Appl Soft Comput 61:193\u2013210","journal-title":"Appl Soft Comput"},{"key":"9385_CR47","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.asoc.2015.07.028","volume":"36","author":"H Shareef","year":"2015","unstructured":"Shareef H, Ibrahim AA, Mutlag AH (2015) Lightning search algorithm. Appl Soft Comput 36:315\u2013333","journal-title":"Appl Soft Comput"},{"key":"9385_CR48","first-page":"303","volume-title":"International conference in swarm intelligence","author":"Y Shi","year":"2011","unstructured":"Shi Y (2011) Brainstorm optimization algorithm. International conference in swarm intelligence. Springer, Berlin, pp 303\u2013309"},{"key":"9385_CR49","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.3233\/JIFS-169453","volume":"34","author":"AK Shukla","year":"2018","unstructured":"Shukla AK, Singh P, Vardhan M (2018) Neighbor teaching-learning based optimization for global optimization problems J. Intel Fuzzy Syst 34:1583\u20131594","journal-title":"Intel Fuzzy Syst"},{"key":"9385_CR50","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.apm.2019.07.046","volume":"77","author":"AK Shukla","year":"2020","unstructured":"Shukla AK, Singh P, Vardhan M (2020) An adaptive inertia weight teaching-learning-based optimization algorithm and its applications. Appl Math Model 77:309\u2013326","journal-title":"Appl Math Model"},{"issue":"6","key":"9385_CR51","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon D (2008) Biogeography-based optimization. IEEE T Evolut Comput 12(6):702\u2013713","journal-title":"IEEE T Evolut Comput"},{"key":"9385_CR96","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.mechmachtheory.2017.05.018","volume":"116","author":"R Singh","year":"2017","unstructured":"Singh R, Chaudhary H, Singh AK (2017) Defect-free Optimal synthesis of canker-rocker linkage using nature-spired optimization algorithm. Mech Mach Theory 116:105\u2013122","journal-title":"Mech Mach Theory"},{"key":"9385_CR52","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.knosys.2017.08.012","volume":"135","author":"S Sleesongsom","year":"2017","unstructured":"Sleesongsom S, Bureerat S (2017) Four-bar linkage path generation through self-adaptive population size teaching-learning based optimization. Knowledge-Based Syst 135:180\u2013191","journal-title":"Knowledge-Based Syst"},{"key":"9385_CR53","doi-asserted-by":"crossref","unstructured":"Sun J, Feng B, Xu W B (2004) Particle swarm optimization with particles having quantum behavior. In: Proceedings of Congress on Evolutionary Computation, 325\u2013331","DOI":"10.1109\/CEC.2004.1330875"},{"issue":"2","key":"9385_CR54","first-page":"443","volume":"38","author":"N Tong","year":"2018","unstructured":"Tong N, Fu Q, Zhong C (2018) Improved teaching-learning based optimization algorithm based on self-learning mechanism. J Comput Appl 38(2):443\u2013447","journal-title":"J Comput Appl"},{"key":"9385_CR55","first-page":"37","volume":"500","author":"H-C Tsai","year":"2019","unstructured":"Tsai H-C (2019) Confined teaching-learning-based optimization with variable search strategies for continuous optimization. Inform Sci 500:37\u201347","journal-title":"Inform Sci"},{"issue":"1","key":"9385_CR56","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.asej.2015.05.003","volume":"7","author":"OE Turgut","year":"2016","unstructured":"Turgut OE, Coban MT (2016) Optimal proton exchange membrane fuel cell modelling based on hybrid teaching learning-based optimization\u2013differential evolution algorithm. Ain Shams Eng J 7(1):347\u2013360","journal-title":"Ain Shams Eng J"},{"key":"9385_CR57","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.eswa.2018.01.005","volume":"98","author":"S Vitayasak","year":"2018","unstructured":"Vitayasak S, Pongcharoen P (2018) Performance improvement of teaching-learning based optimization for robust machine layout design. Expert Syst Appl 98:129\u2013152","journal-title":"Expert Syst Appl"},{"issue":"6","key":"9385_CR58","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1007\/s00521-014-1627-8","volume":"25","author":"L Wang","year":"2014","unstructured":"Wang L, Zou F, Hei X, Yang D, Chen D, Jiang Q et al (2014) A hybridization of teaching\u2013learning-based optimization and differential evolution for chaotic time series prediction. Neural Comput Appl 25(6):1407\u20131422","journal-title":"Neural Comput Appl"},{"issue":"1","key":"9385_CR59","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert DH, Macready WG et al (1997) No free lunch theorems for optimization. IEEE T Evolut Compu 1(1):67\u201382","journal-title":"IEEE T Evolut Compu"},{"issue":"94","key":"9385_CR61","first-page":"1","volume":"12","author":"Z Wu","year":"2019","unstructured":"Wu Z, Xue R (2019) A cyclical non-linear inertia-weighted teaching-learning-based optimization algorithm. Algorithms 12(94):1\u201315","journal-title":"Algorithms"},{"key":"9385_CR62","first-page":"1","volume":"292576","author":"ZX Wu","year":"2015","unstructured":"Wu ZX, Fu WP, Xue R (2015) Nonlinear inertia weighted teaching-learning based optimization for solving global optimization problem. Comput Intel Neurosc 292576:1\u201315","journal-title":"Comput Intel Neurosc"},{"key":"9385_CR60","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.ins.2020.05.033","volume":"533","author":"B Wu","year":"2020","unstructured":"Wu B, Zhou J, Ji X, Yin Y, Shen X (2020) An ameliorated teaching-learning based optimization-based study of image segmentation for multilevel thresholding using kapur\u2019s entropy and Otsu\u2019s between class variance. Inform Sci 533:72\u2013107","journal-title":"Inform Sci"},{"key":"9385_CR64","doi-asserted-by":"crossref","unstructured":"Yang X-S (2009) Firefly algorithm for multimodal optimization, Proceedings of the Conference on Stochastic Algorithms: Foundations and Applications-5th International Symposium, SA-GA, Lecture Notes in Computer Science, German, 2009","DOI":"10.1007\/978-3-642-04944-6_14"},{"key":"9385_CR65","doi-asserted-by":"crossref","unstructured":"Yang X-S (2010) A new metaheuristic bat-inspired algorithm, Nature Inspired Cooperative Strategies for Optimization (NICSO2010), Springer, 2010.","DOI":"10.1007\/978-3-642-12538-6_6"},{"issue":"4","key":"9385_CR63","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1007\/s40565-014-0087-6","volume":"2","author":"Z Yang","year":"2014","unstructured":"Yang Z, Li K, Niu Q, Xue Y, Foley A (2014) A self-learning TLBO based dynamic economic\/environmental dispatch considering multiple plug-in electric vehicle loads. J Mod Power Syst Cle 2(4):298\u2013307","journal-title":"J Mod Power Syst Cle"},{"key":"9385_CR67","first-page":"1","volume":"188","author":"Y Xu","year":"2020","unstructured":"Xu Y, Yang Z, Li X, Kang H, Yang X (2020) Dynamic opposite learning enhanced teaching\u2013learning-based optimization. Knowledge-Based Syst 188:1\u201316","journal-title":"Knowledge-Based Syst"},{"issue":"108271","key":"9385_CR66","first-page":"1","volume":"257","author":"Y Xu","year":"2022","unstructured":"Xu Y, Peng Y, Su X, Yang Z, Ding C, Yang X (2022) Improving teaching\u2013learning-based-optimization algorithm by a distance-fitness learning strategy. Knowl-Based Syst 257(108271):1\u201314","journal-title":"Knowl-Based Syst"},{"issue":"831","key":"9385_CR112","first-page":"843","volume":"27","author":"K Yu","year":"2016","unstructured":"Yu K, Wang X, Wang Z (2016) An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems. J Intell Manuf 27:831\u2013843","journal-title":"J Intell Manuf"},{"issue":"113246","key":"9385_CR69","first-page":"1","volume":"148","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Jin Z (2020) Group teaching optimization algorithm: a novel metaheuristic method for solving global optimization problems. Expert Syst Appli 148(113246):1\u201318","journal-title":"Expert Syst Appli"},{"key":"9385_CR68","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2019.07.007","volume":"187","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Jin Z, Chen Y (2020) Hybrid teaching\u2013learning-based optimization and neural network algorithm for engineering design optimization problems. Knowledge-Based Syst 187:1\u201318","journal-title":"Knowledge-Based Syst"},{"key":"9385_CR73","first-page":"1","volume":"4561507","author":"F Zou","year":"2016","unstructured":"Zou F, Chen D, Wang J (2016) An improved teaching-learning based optimization with the social character of PSO for global optimization. Comput Intel Neurosc 4561507:1\u201310","journal-title":"Comput Intel Neurosc"},{"key":"9385_CR70","doi-asserted-by":"crossref","first-page":"6983","DOI":"10.1007\/s00500-016-2237-4","volume":"21","author":"F Zou","year":"2017","unstructured":"Zou F, Chen D, Lu R, Wang P (2017) Hierarchical multi-swarm cooperative teaching-learning-based optimization for global optimization. Soft Comput 21:6983\u20137004","journal-title":"Soft Comput"},{"key":"9385_CR71","doi-asserted-by":"crossref","first-page":"7177","DOI":"10.1007\/s00500-017-2722-4","volume":"22","author":"F Zou","year":"2018","unstructured":"Zou F, Chen D, Lu R, Li S, Wu L (2018) Teaching-learning-based optimization with differential and repulsion learning for global optimization and nonlinear modeling. Soft Comput 22:7177\u20137205","journal-title":"Soft Comput"},{"key":"9385_CR72","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.neucom.2018.06.076","volume":"335","author":"F Zou","year":"2019","unstructured":"Zou F, Chen D, Xu Q (2019) A survey of teaching-learning-based optimization. Neurocomputing 335:366\u2013383","journal-title":"Neurocomputing"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-023-09385-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-023-09385-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-023-09385-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,16]],"date-time":"2024-02-16T07:09:31Z","timestamp":1708067371000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-023-09385-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,29]]},"references-count":81,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,3]]}},"alternative-id":["9385"],"URL":"https:\/\/doi.org\/10.1007\/s00500-023-09385-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,29]]},"assertion":[{"value":"14 October 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 January 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant financial or non-financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}