{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T14:33:27Z","timestamp":1782830007551,"version":"3.54.5"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2018,10,9]],"date-time":"2018-10-09T00:00:00Z","timestamp":1539043200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61601505"],"award-info":[{"award-number":["61601505"]}],"id":[{"id":"10.13039\/501100001809","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":[[2019,8]]},"DOI":"10.1007\/s00521-018-3785-6","type":"journal-article","created":{"date-parts":[[2018,10,9]],"date-time":"2018-10-09T05:14:04Z","timestamp":1539062044000},"page":"4435-4450","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["An improved TLBO with logarithmic spiral and triangular mutation for global optimization"],"prefix":"10.1007","volume":"31","author":[{"given":"Zhuoran","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanqiao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changqiang","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,10,9]]},"reference":[{"issue":"1","key":"3785_CR1","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","volume":"267","author":"J Holland","year":"1992","unstructured":"Holland J (1992) Genetic algorithms. Sci Am 267(1):66\u201372","journal-title":"Sci Am"},{"key":"3785_CR2","doi-asserted-by":"crossref","unstructured":"Eberhart RC, Kennedy J. A new optimizer using particle swarm theory. In: Proceedings of the sixth international symposium on micro machine and human science; 1995. p 39\u201343","DOI":"10.1109\/MHS.1995.494215"},{"key":"3785_CR3","unstructured":"Colorni A, Dorigo M, Maniezzo V. Distributed optimization by ant colonies. In: Proceedings of the first European conference on artificial life; 1991. p 134\u201342"},{"issue":"3","key":"3785_CR4","doi-asserted-by":"publisher","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":"3785_CR5","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.ijepes.2014.11.010","volume":"67","author":"S Durai","year":"2015","unstructured":"Durai S, Subramanian S, Ganesan S (2015) Improved parameters for economic dispatch problems by teaching learning optimization. Int J Electr Power 67:11\u201324","journal-title":"Int J Electr Power"},{"key":"3785_CR6","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.solener.2016.09.022","volume":"139","author":"A Fathy","year":"2016","unstructured":"Fathy A, Elkholy MM (2016) Optimization of a PV fed water pumping system without storage based on teaching\u2013learning-based optimization algorithm and artificial neural network. Sol Energy 139:199\u2013212","journal-title":"Sol Energy"},{"key":"3785_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.engappai.2016.10.009","volume":"57","author":"X Qu","year":"2017","unstructured":"Qu X, Zhang R, Liu B, Li H (2017) An improved TLBO based memetic algorithm for aerodynamic shape optimization. Eng Appl Artif Intell 57:1\u201315","journal-title":"Eng Appl Artif Intell"},{"issue":"P3","key":"3785_CR8","doi-asserted-by":"publisher","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\u2013learning-based optimization with variable-population scheme and its application for ANN and global optimization. Neurocomputing 173(P3):1096\u20131111","journal-title":"Neurocomputing"},{"key":"3785_CR9","doi-asserted-by":"publisher","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\u2013learning based optimization algorithm for solving no-wait flow shop scheduling problem. Appl Soft Comput 61:193\u2013210","journal-title":"Appl Soft Comput"},{"issue":"1","key":"3785_CR10","first-page":"81","volume":"3","author":"RV Rao","year":"2014","unstructured":"Rao RV, Waghmare GG (2014) Complex constrained design optimisation using an elitist teaching\u2013learning-based optimisation algorithm. I J MHeur 3(1):81\u2013102","journal-title":"I J MHeur"},{"key":"3785_CR11","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.ijepes.2014.10.027","volume":"65","author":"M Ghasemi","year":"2015","unstructured":"Ghasemi M, Ghavidel S, Gitizadeh M, Akbari E (2015) An improved teaching\u2013learning-based optimization algorithm using L\u00e9vy mutation strategy for non-smooth optimal power flow. Int J Elec Power 65:375\u2013384","journal-title":"Int J Elec Power"},{"issue":"1","key":"3785_CR12","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s00366-016-0456-z","volume":"33","author":"MY Cheng","year":"2017","unstructured":"Cheng MY, Prayogo D (2017) A novel fuzzy adaptive teaching\u2013learning-based optimization (FATLBO) for solving structural optimization problems. Eng Comput 33(1):55\u201369","journal-title":"Eng Comput"},{"issue":"16","key":"3785_CR13","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.neucom.2014.06.003","volume":"143","author":"L Wang","year":"2014","unstructured":"Wang L, Zou F, Hei X, Chen D, Jiang Q (2014) An improved teaching\u2013learning-based optimization with neighborhood search for applications of ANN. Neurocomputing 143(16):231\u2013247","journal-title":"Neurocomputing"},{"key":"3785_CR14","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.energy.2016.01.052","volume":"99","author":"X Chen","year":"2016","unstructured":"Chen X, Yu K, Du W, Liu G (2016) Parameters identification of solar cell models using generalized oppositional teaching learning based optimization. Energy 99:170\u2013180","journal-title":"Energy"},{"key":"3785_CR15","doi-asserted-by":"publisher","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, Shen X (2017) An improved teaching\u2013learning-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":"3785_CR16","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.asoc.2016.04.029","volume":"46","author":"JK Pickard","year":"2016","unstructured":"Pickard JK, Carretero JA, Bhavsar VC (2016) On the convergence and origin bias of the teaching\u2013learning-based-optimization algorithm. Appl Soft Comput 46:115\u2013127","journal-title":"Appl Soft Comput"},{"key":"3785_CR17","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51\u201367","journal-title":"Adv Eng Softw"},{"issue":"3","key":"3785_CR18","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1007\/s10845-017-1294-6","volume":"29","author":"AW Mohamed","year":"2017","unstructured":"Mohamed AW (2017) A novel differential evolution algorithm for solving constrained engineering optimization problems. J Intell Manuf 29(3):659\u2013692","journal-title":"J Intell Manuf"},{"issue":"3","key":"3785_CR19","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/s12293-016-0194-1","volume":"9","author":"S Nama","year":"2017","unstructured":"Nama S, Saha AK, Ghosh S (2017) A hybrid symbiosis organisms search algorithm and its application to real world problems. Memet Comput 9(3):261\u2013280","journal-title":"Memet Comput"},{"issue":"4","key":"3785_CR20","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/s12293-013-0119-1","volume":"5","author":"G Jeyakumar","year":"2013","unstructured":"Jeyakumar G, Velayutham CS (2013) Distributed mixed variant differential evolution algorithms for unconstrained global optimization. Memet Comput 5(4):275\u2013293","journal-title":"Memet Comput"},{"issue":"3","key":"3785_CR21","doi-asserted-by":"publisher","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(3):46\u201361","journal-title":"Grey Wolf Optimizer. Adv Eng Softw"},{"key":"3785_CR22","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.compstruc.2014.03.007","volume":"139","author":"MY Cheng","year":"2014","unstructured":"Cheng MY, Prayogo D (2014) Symbiotic organisms search: a new metaheuristic optimization algorithm. Comput Struct 139:98\u2013112","journal-title":"Comput Struct"},{"issue":"19","key":"3785_CR23","doi-asserted-by":"publisher","first-page":"6686","DOI":"10.1016\/j.eswa.2015.04.055","volume":"42","author":"MS Kiran","year":"2015","unstructured":"Kiran MS (2015) TSA: tree-seed algorithm for continuous optimization. Expert Syst Appl 42(19):6686\u20136698","journal-title":"Expert Syst Appl"},{"issue":"4","key":"3785_CR24","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution\u2014simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11(4):341\u2013359","journal-title":"J Global Optim"},{"issue":"3","key":"3785_CR25","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Global Optim 39(3):459\u2013471","journal-title":"J Global Optim"},{"key":"3785_CR26","doi-asserted-by":"publisher","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. Inform Sciences 179:2232\u20132248","journal-title":"Inform Sciences"},{"issue":"C","key":"3785_CR27","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.asoc.2015.11.015","volume":"39","author":"M Li","year":"2016","unstructured":"Li M, Zhao H, Weng X, Han T (2016) Cognitive behavior optimization algorithm for solving optimization problems. Appl Soft Comput 39(C):199\u2013222","journal-title":"Appl Soft Comput"},{"issue":"2","key":"3785_CR28","doi-asserted-by":"publisher","first-page":"1676","DOI":"10.1016\/j.eswa.2009.06.044","volume":"37","author":"LDS Coelho","year":"2010","unstructured":"Coelho LDS (2010) Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems. Expert Syst Appl 37(2):1676\u20131683","journal-title":"Expert Syst Appl"},{"issue":"12","key":"3785_CR29","doi-asserted-by":"publisher","first-page":"1769","DOI":"10.1016\/j.cad.2011.07.003","volume":"43","author":"AH Kashan","year":"2011","unstructured":"Kashan AH (2011) An efficient algorithm for constrained global optimization and application to mechanical engineering design: league championship algorithm (LCA). Comput Aided Design 43(12):1769\u20131792","journal-title":"Comput Aided Design"},{"issue":"4","key":"3785_CR30","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1007\/s10845-011-0621-6","volume":"24","author":"I Brajevic","year":"2013","unstructured":"Brajevic I, Tuba M (2013) An upgraded artificial bee colony (ABC) algorithm for constrained optimization problems. J Intell Manuf 24(4):729\u2013740","journal-title":"J Intell Manuf"},{"issue":"6","key":"3785_CR31","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1007\/s00521-012-1028-9","volume":"22","author":"A Gandomi","year":"2013","unstructured":"Gandomi A, Yang XS, Alavi A, Talatahari S (2013) Bat algorithm for constrained optimization tasks. Neural Comput Appl 22(6):1239\u20131255","journal-title":"Neural Comput Appl"},{"issue":"5","key":"3785_CR32","doi-asserted-by":"publisher","first-page":"2592","DOI":"10.1016\/j.asoc.2012.11.026","volume":"13","author":"A Sadollah","year":"2013","unstructured":"Sadollah A, Bahreininejad A, Eskandar H, Hamdi M (2013) Mine blast algorithm: a new population based algorithm for solving constrained engineering optimization problems. Appl Soft Comput 13(5):2592\u20132612","journal-title":"Appl Soft Comput"},{"issue":"C","key":"3785_CR33","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.asoc.2015.06.056","volume":"36","author":"A Baykaso\u011flu","year":"2015","unstructured":"Baykaso\u011flu A, Ozsoydan FB (2015) Adaptive firefly algorithm with chaos for mechanical design optimization problems. Appl Soft Comput 36(C):152\u2013164","journal-title":"Appl Soft Comput"},{"issue":"5","key":"3785_CR34","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.asoc.2014.11.029","volume":"28","author":"S Yilmaz","year":"2015","unstructured":"Yilmaz S, K\u00fc\u00e7\u00fcksille EU (2015) A new modification approach on bat algorithm for solving optimization problems. Appl Soft Comput 28(5):259\u2013275","journal-title":"Appl Soft Comput"},{"issue":"9","key":"3785_CR35","first-page":"1","volume":"13","author":"X Yan","year":"2016","unstructured":"Yan X, Liu H, Zhu Z, Wu Q (2016) Hybrid genetic algorithm for engineering design problems. Cluster Comput 13(9):1\u201313","journal-title":"Cluster Comput"},{"key":"3785_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compstruc.2016.03.001","volume":"169","author":"A Askarzadeh","year":"2016","unstructured":"Askarzadeh A (2016) A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm. Comput Struct 169:1\u201312","journal-title":"Comput Struct"},{"issue":"C","key":"3785_CR37","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.advengsoft.2015.11.004","volume":"92","author":"MD Li","year":"2016","unstructured":"Li MD, Zhao H, Weng XW, Han T (2016) A novel nature-inspired algorithm for optimization: virus colony search. Adv Eng Softw 92(C):65\u201368","journal-title":"Adv Eng Softw"},{"issue":"40","key":"3785_CR38","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/j.asoc.2015.10.048","volume":"40","author":"NB Guedria","year":"2016","unstructured":"Guedria NB (2016) Improved accelerated PSO algorithm for mechanical engineering optimization problems. Appl Soft Comput 40(40):455\u2013467","journal-title":"Appl Soft Comput"},{"key":"3785_CR39","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.advengsoft.2017.03.014","volume":"110","author":"A Kaveh","year":"2017","unstructured":"Kaveh A, Dadras A (2017) A novel meta-heuristic optimization algorithm: thermal exchange optimization. Adv Eng Softw 110:69\u201384","journal-title":"Adv Eng Softw"},{"issue":"6","key":"3785_CR40","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1109\/TSMCB.2006.873185","volume":"36","author":"RA Krohling","year":"2006","unstructured":"Krohling RA, Coelho LS (2006) Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems. IEEE T Syst Man Cy B 36(6):1407\u20131416","journal-title":"IEEE T Syst Man Cy B"},{"issue":"1","key":"3785_CR41","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.amc.2006.07.105","volume":"186","author":"F Huang","year":"2007","unstructured":"Huang F, Wang L, He Q (2007) An effective co-evolutionary differential evolution for constrained optimization. Appl Math Comput 186(1):340\u2013356","journal-title":"Appl Math Comput"},{"issue":"2","key":"3785_CR42","first-page":"1","volume":"10","author":"HG Lin","year":"2010","unstructured":"Lin HG, Zhang J, Liu ZH (2010) Hybrid particle swarm optimization with differential evolution for numerical and engineering optimization. Appl Soft Comput 10(2):1\u201312","journal-title":"Appl Soft Comput"},{"issue":"4","key":"3785_CR43","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1016\/j.isatra.2014.03.018","volume":"53","author":"AH Gandomi","year":"2014","unstructured":"Gandomi AH (2014) Interior search algorithm (ISA): a novel approach for global optimization. Isa T 53(4):1168\u20131183","journal-title":"Isa T"},{"issue":"10","key":"3785_CR44","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.compstruc.2012.07.010","volume":"110","author":"H Eskandar","year":"2012","unstructured":"Eskandar H, Sadollah A, Bahreininejad A, Hamdi M (2012) Water cycle algorithm\u2014a novel metaheuristic optimization method for solving constrained engineering optimization problems. Comput Struct 110(10):151\u2013166","journal-title":"Comput Struct"},{"issue":"23","key":"3785_CR45","doi-asserted-by":"publisher","first-page":"2325","DOI":"10.1016\/j.compstruc.2011.08.002","volume":"89","author":"AH Gandomi","year":"2011","unstructured":"Gandomi AH, Yang XS, Alavi AH (2011) Mixed variable structural optimization using firefly algorithm. Comput Struct 89(23):2325\u20132336","journal-title":"Comput Struct"},{"key":"3785_CR46","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1007\/s11047-016-9569-y","volume":"15","author":"J Xiao","year":"2016","unstructured":"Xiao J, He JJ, Chen P, Niu YY (2016) An improved dynamic membrane evolutionary algorithm for constrained engineering design problems. Nat Comput 15:579\u2013589","journal-title":"Nat Comput"},{"issue":"C","key":"3785_CR47","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1016\/j.asoc.2016.09.030","volume":"52","author":"HB Ouyang","year":"2017","unstructured":"Ouyang HB, Gao LQ, Li S, Kong XY (2017) Improved global-best-guided particle swarm optimization with learning operation for global optimization problems. Appl Soft Comput 52(C):987\u20131008","journal-title":"Appl Soft Comput"},{"key":"3785_CR48","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.advengsoft.2017.05.008","volume":"112","author":"V Kumar","year":"2017","unstructured":"Kumar V, Kumar D (2017) An astrophysics-inspired grey wolf algorithm for numerical optimization and its application to engineering design problems. Adv Eng Softw 112:231\u2013254","journal-title":"Adv Eng Softw"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3785-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-018-3785-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3785-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T19:05:42Z","timestamp":1775243142000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-018-3785-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,9]]},"references-count":48,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["3785"],"URL":"https:\/\/doi.org\/10.1007\/s00521-018-3785-6","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,9]]},"assertion":[{"value":"2 August 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 September 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 October 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}