{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T14:11:23Z","timestamp":1769523083993,"version":"3.49.0"},"reference-count":67,"publisher":"Springer Science and Business Media LLC","issue":"20","license":[{"start":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T00:00:00Z","timestamp":1688515200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T00:00:00Z","timestamp":1688515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1007\/s00500-023-08603-0","type":"journal-article","created":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T21:01:44Z","timestamp":1688590904000},"page":"15003-15032","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["MOOTLBO: a new multi-objective observer\u2013teacher\u2013learner-based optimization"],"prefix":"10.1007","volume":"27","author":[{"given":"Siyamak","family":"Doroudi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0448-2871","authenticated-orcid":false,"given":"Ahmad","family":"Sharafati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seyed Hossein","family":"Mohajeri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,5]]},"reference":[{"issue":"3","key":"8603_CR1","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/j.cie.2006.02.003","volume":"50","author":"R Al-Aomar","year":"2006","unstructured":"Al-Aomar R, Al-Okaily A (2006) A GA-based parameter design for single machine turning process with high-volume production. Comput Ind Eng 50(3):317\u2013337. https:\/\/doi.org\/10.1016\/j.cie.2006.02.003","journal-title":"Comput Ind Eng"},{"issue":"3","key":"8603_CR2","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1061\/(ASCE)0733-9445(1989)115:3(626)","volume":"115","author":"HM Amir","year":"1989","unstructured":"Amir HM, Hasegawa T (1989) Nonlinear mixed discrete structural optimization. J Struct Eng 115(3):626\u2013646. https:\/\/doi.org\/10.1061\/(ASCE)0733-9445(1989)115:3(626)","journal-title":"J Struct Eng"},{"key":"8603_CR3","unstructured":"Binh TT, Korn U (1997) MOBES: a multiobjective evolution strategy for constrained optimization problems. In: Proc Mendel\u201997, 3rd Int Conf Genetic Algorithms, pp 176\u2013182. https:\/\/cir.nii.ac.jp\/crid\/1571980076303240064"},{"issue":"6","key":"8603_CR4","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1016\/S0965-9978(00)00110-1","volume":"32","author":"J Branke","year":"2001","unstructured":"Branke J, Kau\u00dfler T, Schmeck H (2001) Guidance in evolutionary multi-objective optimization. Adv Eng Softw 32(6):499\u2013507. https:\/\/doi.org\/10.1016\/S0965-9978(00)00110-1","journal-title":"Adv Eng Softw"},{"issue":"1","key":"8603_CR5","doi-asserted-by":"publisher","first-page":"59","DOI":"10.5267\/J.DSL.2019.8.001","volume":"9","author":"H Buch","year":"2020","unstructured":"Buch H, Trivedi IN (2020) A new non-dominated sorting ions motion algorithm: development and applications. Decis Sci Lett 9(1):59\u201376. https:\/\/doi.org\/10.5267\/J.DSL.2019.8.001","journal-title":"Decis Sci Lett"},{"key":"8603_CR6","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/978-3-642-05165-4_4","volume":"261","author":"JCF Cabrera","year":"2010","unstructured":"Cabrera JCF, Coello CAC (2010) Micro-MOPSO: a multi-objective particle swarm optimizer that uses a very small population size. Stud Comput Intell 261:83\u2013104. https:\/\/doi.org\/10.1007\/978-3-642-05165-4_4","journal-title":"Stud Comput Intell"},{"issue":"3","key":"8603_CR7","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1109\/TEVC.2004.826067","volume":"8","author":"CA Coello","year":"2004","unstructured":"Coello CA, Pulido GT, Lechuga MS (2004) Handling multiple objectives with particle swarm optimization. IEEE Trans Evol Comput 8(3):256\u2013279. https:\/\/doi.org\/10.1109\/TEVC.2004.826067","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"8603_CR8","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/MCI.2006.1597059","volume":"1","author":"CA Coello Coello","year":"2006","unstructured":"Coello Coello CA (2006) Evolutionary multi-objective optimization: a historical view of the field. IEEE Comput Intell Mag 1(1):28\u201336. https:\/\/doi.org\/10.1109\/MCI.2006.1597059","journal-title":"IEEE Comput Intell Mag"},{"key":"8603_CR9","unstructured":"Coello CA, Lamont GB, Van Veldhuizen DA (2007) Evolutionary algorithms for solving multi-objective problems. In: Evolutionary Algorithms for Solving Multi-Objective Problems. Springer US"},{"issue":"3","key":"8603_CR10","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1137\/S1052623496307510","volume":"8","author":"I Das","year":"1998","unstructured":"Das I, Dennis JE (1998) Normal-boundary intersection: a new method for generating the Pareto surface in nonlinear multicriteria optimization problems. SIAM J Optim 8(3):631\u2013657. https:\/\/doi.org\/10.1137\/S1052623496307510","journal-title":"SIAM J Optim"},{"issue":"2","key":"8603_CR67","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182\u2013197. https:\/\/doi.org\/10.1109\/4235.996017","journal-title":"IEEE Trans Evol Comput"},{"key":"8603_CR11","doi-asserted-by":"crossref","unstructured":"Deb K, Thiele L, Laumanns M, Zitzler E (2005) Scalable test problems for evolutionary multiobjective optimization. In: Evolutionary multiobjective optimization, Springer-Verlag, pp 105\u2013145","DOI":"10.1007\/1-84628-137-7_6"},{"key":"8603_CR12","unstructured":"Deb K (2001) Multi-objective optimization using evolutionary algorithms. John Wiley & Sons. https:\/\/books.google.com\/books\/about\/Multi_Objective_Optimization_Using_Evolu.html?id=OSTn4GSy2uQC&printsec=frontcover&source=kp_read_button#v=onepage&q&f=false"},{"key":"8603_CR13","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5540284","author":"S Doroudi","year":"2021","unstructured":"Doroudi S, Sharafati A, Mohajeri SH (2021) Estimation of daily suspended sediment load using a novel hybrid support vector regression model incorporated with observer\u2013teacher\u2013learner-based optimization method. Complexity. https:\/\/doi.org\/10.1155\/2021\/5540284","journal-title":"Complexity"},{"key":"8603_CR14","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1016\/j.proeng.2013.09.163","volume":"64","author":"M Durairaj","year":"2013","unstructured":"Durairaj M, Sudharsun D, Swamynathan N (2013) Analysis of process parameters in wire EDM with stainless steel using single objective Taguchi method and multi objective grey relational grade. Proc Eng 64:868\u2013877. https:\/\/doi.org\/10.1016\/j.proeng.2013.09.163","journal-title":"Proc Eng"},{"key":"8603_CR15","doi-asserted-by":"crossref","unstructured":"Eberhart R, Kennedy J (1995) New optimizer using particle swarm theory. Proceedings of the International Symposium on Micro Machine and Human Science, pp 39\u201343","DOI":"10.1109\/MHS.1995.494215"},{"key":"8603_CR16","unstructured":"Eberhart R, Shi Y, Kennedy J (2001) Swarm intelligence\u20141st Edition. https:\/\/www.elsevier.com\/books\/swarm-intelligence\/eberhart\/978-1-55860-595-4"},{"issue":"5","key":"8603_CR17","doi-asserted-by":"publisher","first-page":"1117","DOI":"10.1080\/00207549308956778","volume":"31","author":"EA Elsayed","year":"1993","unstructured":"Elsayed EA, Chen A (1993) Optimal levels of process parameters for products with multiple characteristics. Int J Prod Res 31(5):1117\u20131132. https:\/\/doi.org\/10.1080\/00207549308956778","journal-title":"Int J Prod Res"},{"issue":"200","key":"8603_CR18","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1080\/01621459.1937.10503522","volume":"32","author":"M Friedman","year":"1937","unstructured":"Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32(200):675\u2013701. https:\/\/doi.org\/10.1080\/01621459.1937.10503522","journal-title":"J Am Stat Assoc"},{"issue":"5","key":"8603_CR19","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1109\/TEVC.2005.861417","volume":"10","author":"S Huband","year":"2006","unstructured":"Huband S, Hingston P, Barone L, While L (2006) A review of multiobjective test problems and a scalable test problem toolkit. IEEE Trans Evol Comput 10(5):477\u2013506. https:\/\/doi.org\/10.1109\/TEVC.2005.861417","journal-title":"IEEE Trans Evol Comput"},{"key":"8603_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/S12065-021-00649-Z","volume":"2021","author":"P Jangir","year":"2021","unstructured":"Jangir P, Buch H, Mirjalili S, Manoharan P (2021) MOMPA: multi-objective marine predator algorithm for solving multi-objective optimization problems. Evol Intel 2021:1\u201327. https:\/\/doi.org\/10.1007\/S12065-021-00649-Z","journal-title":"Evol Intel"},{"issue":"2","key":"8603_CR21","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1115\/1.2919393","volume":"116","author":"BK Kannan","year":"1994","unstructured":"Kannan BK, Kramer SN (1994) An augmented lagrange multiplier based method for mixed integer discrete continuous optimization and its applications to mechanical design. J Mech Des 116(2):405\u2013411. https:\/\/doi.org\/10.1115\/1.2919393","journal-title":"J Mech Des"},{"key":"8603_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-30164-8","author":"J Kennedy","year":"2010","unstructured":"Kennedy J (2010) Encyclopedia of machine learning. Encycl Mach Learn. https:\/\/doi.org\/10.1007\/978-0-387-30164-8","journal-title":"Encycl Mach Learn"},{"issue":"2","key":"8603_CR23","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/s00158-004-0465-1","volume":"29","author":"IY Kim","year":"2005","unstructured":"Kim IY, De Weck OL (2005) Adaptive weighted-sum method for bi-objective optimization: Pareto front generation. Struct Multidiscip Optim 29(2):149\u2013158. https:\/\/doi.org\/10.1007\/s00158-004-0465-1","journal-title":"Struct Multidiscip Optim"},{"key":"8603_CR24","doi-asserted-by":"crossref","unstructured":"Knowles J, Corne D (1999) The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation. In: Proceedings of the 1999 Congress on Evolutionary Computation, CEC, vol 1, pp 98\u2013105","DOI":"10.1109\/CEC.1999.781913"},{"key":"8603_CR25","unstructured":"Lampinen J, Zelinka I (1999) Mixed integer-discrete-continuous optimization by differential evolution part 1: the optimization method."},{"issue":"3","key":"8603_CR26","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1504\/IJSTRUCTE.2020.108529","volume":"10","author":"SHH Lavasani","year":"2020","unstructured":"Lavasani SHH, Doroudi R (2020) Meta heuristic active and semi-active control systems of high-rise building. Int J Struct Eng 10(3):232\u2013253. https:\/\/doi.org\/10.1504\/IJSTRUCTE.2020.108529","journal-title":"Int J Struct Eng"},{"key":"8603_CR27","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/978-3-642-01262-4_3","volume":"210","author":"A Lewis","year":"2009","unstructured":"Lewis A, Mostaghim S, Scriven I (2009) Asynchronous multi-objective optimisation in unreliable distributed environments. Stud Comput Intell 210:51\u201378. https:\/\/doi.org\/10.1007\/978-3-642-01262-4_3","journal-title":"Stud Comput Intell"},{"key":"8603_CR28","unstructured":"Liang J, Qu B, Gong D, Yue C (2019) Problem definitions and evaluation criteria for the CEC 2019 special session on multimodal multiobjective optimization. Special Session & competition in IEEE congress on evolutionary computation 2019. https:\/\/www.researchgate.net\/publication\/331815925_Problem_Definitions_and_Evaluation_Criteria_for_the_CEC_2019_Special_Session_on_Multimodal_Multiobjective_Optimization?channel=doi&linkId=5c8da5f092851c1df94630b4&showFulltext=true"},{"issue":"2","key":"8603_CR29","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1002\/qre.4680040211","volume":"4","author":"N Logothetis","year":"1988","unstructured":"Logothetis N, Haigh A (1988) Characterizing and optimizing multi-response processes by the taguchi method. Qual Reliab Eng Int 4(2):159\u2013169. https:\/\/doi.org\/10.1002\/qre.4680040211","journal-title":"Qual Reliab Eng Int"},{"key":"8603_CR30","doi-asserted-by":"crossref","unstructured":"Meyr H (2009) Supply chain planning in the german automotive industry. In: Supply chain planning: quantitative decision support and advanced planning solutions, Springer Berlin Heidelberg, pp 343\u2013365","DOI":"10.1007\/978-3-540-93775-3_13"},{"issue":"4","key":"8603_CR31","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1007\/S00521-015-1920-1\/TABLES\/12","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S (2016) Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput Appl 27(4):1053\u20131073. https:\/\/doi.org\/10.1007\/S00521-015-1920-1\/TABLES\/12","journal-title":"Neural Comput Appl"},{"key":"8603_CR32","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 69:46\u201361. https:\/\/doi.org\/10.1016\/j.advengsoft.2013.12.007","journal-title":"Adv Eng Softw"},{"key":"8603_CR33","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.eswa.2015.10.039","volume":"47","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Saremi S, Mirjalili SM, Coelho LDS (2016) Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization. Expert Syst Appl 47:106\u2013119. https:\/\/doi.org\/10.1016\/j.eswa.2015.10.039","journal-title":"Expert Syst Appl"},{"issue":"1","key":"8603_CR34","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s10489-016-0825-8","volume":"46","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Jangir P, Saremi S (2017) Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems. Appl Intell 46(1):79\u201395. https:\/\/doi.org\/10.1007\/s10489-016-0825-8","journal-title":"Appl Intell"},{"issue":"4","key":"8603_CR35","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1007\/S10489-017-1019-8\/TABLES\/9","volume":"48","author":"SZ Mirjalili","year":"2018","unstructured":"Mirjalili SZ, Mirjalili S, Saremi S, Faris H, Aljarah I (2018) Grasshopper optimization algorithm for multi-objective optimization problems. Appl Intell 48(4):805\u2013820. https:\/\/doi.org\/10.1007\/S10489-017-1019-8\/TABLES\/9","journal-title":"Appl Intell"},{"issue":"1\u20132","key":"8603_CR36","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.mcm.2011.06.056","volume":"57","author":"A Mozdgir","year":"2013","unstructured":"Mozdgir A, Mahdavi I, Badeleh IS, Solimanpur M (2013) Using the Taguchi method to optimize the differential evolution algorithm parameters for minimizing the workload smoothness index in simple assembly line balancing. Math Comput Model 57(1\u20132):137\u2013151. https:\/\/doi.org\/10.1016\/j.mcm.2011.06.056","journal-title":"Math Comput Model"},{"key":"8603_CR37","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1016\/j.measurement.2014.09.029","volume":"58","author":"T Muthuramalingam","year":"2014","unstructured":"Muthuramalingam T, Mohan B (2014) Application of Taguchi-grey multi responses optimization on process parameters in electro erosion. Meas J Int Meas Confed 58:495\u2013502. https:\/\/doi.org\/10.1016\/j.measurement.2014.09.029","journal-title":"Meas J Int Meas Confed"},{"key":"8603_CR38","doi-asserted-by":"crossref","unstructured":"Nebro AJ, Durillo JJ, Coello CAC (2013) Analysis of leader selection strategies in a multi-objective particle swarm optimizer. In: 2013 IEEE Congress on Evolutionary Computation, CEC, pp 3153\u20133160","DOI":"10.1109\/CEC.2013.6557955"},{"issue":"2\u20133","key":"8603_CR39","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1163\/156939308784160703","volume":"22","author":"J OuYang","year":"2008","unstructured":"OuYang J, Yang F, Yang SW, Nie ZP (2008) The Improved NSGA-II Approach. J Electromagn Waves Appl 22(2\u20133):163\u2013172. https:\/\/doi.org\/10.1163\/156939308784160703","journal-title":"J Electromagn Waves Appl"},{"issue":"3","key":"8603_CR40","doi-asserted-by":"publisher","first-page":"2956","DOI":"10.1016\/j.eswa.2011.08.157","volume":"39","author":"PM Pradhan","year":"2012","unstructured":"Pradhan PM, Panda G (2012) Solving multiobjective problems using cat swarm optimization. Expert Syst Appl 39(3):2956\u20132964. https:\/\/doi.org\/10.1016\/j.eswa.2011.08.157","journal-title":"Expert Syst Appl"},{"key":"8603_CR41","doi-asserted-by":"publisher","first-page":"84263","DOI":"10.1109\/ACCESS.2021.3085529","volume":"9","author":"M Premkumar","year":"2021","unstructured":"Premkumar M, Jangir P, Kumar BS, Sowmya R, Alhelou HH, Abualigah L, Yildiz AR, Mirjalili S (2021) A new arithmetic optimization algorithm for solving real-world multiobjective CEC-2021 constrained optimization problems: diversity analysis and validations. IEEE Access 9:84263\u201384295. https:\/\/doi.org\/10.1109\/ACCESS.2021.3085529","journal-title":"IEEE Access"},{"issue":"1","key":"8603_CR42","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1093\/JCDE\/QWAB065","volume":"9","author":"M Premkumar","year":"2022","unstructured":"Premkumar M, Jangir P, Sowmya R, Alhelou HH, Mirjalili S, Kumar BS (2022) Multi-objective equilibrium optimizer: framework and development for solving multi-objective optimization problems. J Comput Des Eng 9(1):24\u201350. https:\/\/doi.org\/10.1093\/JCDE\/QWAB065","journal-title":"J Comput Des Eng"},{"issue":"3","key":"8603_CR43","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1016\/j.scient.2012.12.005","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. https:\/\/doi.org\/10.1016\/j.scient.2012.12.005","journal-title":"Sci Iran"},{"issue":"3","key":"8603_CR44","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-learning-based optimization: a novel method for constrained mechanical design optimization problems. CAD Comput Aided Des 43(3):303\u2013315. https:\/\/doi.org\/10.1016\/j.cad.2010.12.015","journal-title":"CAD Comput Aided Des"},{"issue":"2","key":"8603_CR45","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1080\/03052150210915","volume":"34","author":"T Ray","year":"2010","unstructured":"Ray T, Liew KM (2010) A swarm metaphor for multiobjective design optimization. Eng Optim 34(2):141\u2013153. https:\/\/doi.org\/10.1080\/03052150210915","journal-title":"Eng Optim"},{"issue":"3","key":"8603_CR46","first-page":"287","volume":"2","author":"M Reyes-Sierra","year":"2006","unstructured":"Reyes-Sierra M, Coello CAC (2006) Multi-objective particle swarm optimizers: a survey of the state-of-the-art. Int J Comput Intell Res 2(3):287\u2013308","journal-title":"Int J Comput Intell Res"},{"key":"8603_CR47","unstructured":"Roy RK (2010) A primer on the taguchi method. Soc Manuf Eng"},{"key":"8603_CR48","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/J.ASOC.2014.10.042","volume":"27","author":"A Sadollah","year":"2015","unstructured":"Sadollah A, Eskandar H, Kim JH (2015) Water cycle algorithm for solving constrained multi-objective optimization problems. Appl Soft Comput 27:279\u2013298. https:\/\/doi.org\/10.1016\/J.ASOC.2014.10.042","journal-title":"Appl Soft Comput"},{"issue":"5","key":"8603_CR49","doi-asserted-by":"publisher","first-page":"537","DOI":"10.12989\/sem.2017.62.5.537","volume":"62","author":"M Shahrouzi","year":"2017","unstructured":"Shahrouzi M, Aghabagloua M, Rafiee F (2017) Observer\u2013teacher\u2013learner-based optimization: an enhanced meta-heuristic for structural sizing design. Struct Eng Mech 62(5):537\u2013550. https:\/\/doi.org\/10.12989\/sem.2017.62.5.537","journal-title":"Struct Eng Mech"},{"key":"8603_CR50","unstructured":"Shahrouzi M (2011) A new hybrid genetic and swarm optimization for earthquake accelerogram scaling. In: Iran University of Science & Technology, vol 1, Iran University of Science & Technology. http:\/\/ijoce.iust.ac.ir\/article-1-11-en.html"},{"key":"8603_CR51","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/978-3-540-31880-4_35","volume":"3410","author":"MR Sierra","year":"2005","unstructured":"Sierra MR, Coello Coello CA (2005) Improving PSO-based multi-objective optimization using crowding, mutation and \u03b5-dominance. Lect Notes Comput Sci 3410:505\u2013519. https:\/\/doi.org\/10.1007\/978-3-540-31880-4_35","journal-title":"Lect Notes Comput Sci"},{"issue":"3","key":"8603_CR52","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1162\/EVCO.1994.2.3.221","volume":"2","author":"N Srinivas","year":"1994","unstructured":"Srinivas N, Deb K (1994) Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evol Comput 2(3):221\u2013248. https:\/\/doi.org\/10.1162\/EVCO.1994.2.3.221","journal-title":"Evol Comput"},{"key":"8603_CR53","unstructured":"Taguchi G (1987) System of experimental design. Response. http:\/\/scholar.google.com\/scholar?hl=en&btnG=Search&q=intitle:System+of+experimental+design#0"},{"issue":"4","key":"8603_CR54","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1023\/A:1015516501242\/METRICS","volume":"17","author":"KC Tan","year":"2002","unstructured":"Tan KC, Lee TH, Khor EF (2002) Evolutionary algorithms for multi-objective optimization: performance assessments and comparisons. Artif Intell Rev 17(4):251\u2013290. https:\/\/doi.org\/10.1023\/A:1015516501242\/METRICS","journal-title":"Artif Intell Rev"},{"key":"8603_CR55","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/J.KNOSYS.2015.11.016","volume":"94","author":"DH Tran","year":"2016","unstructured":"Tran DH, Cheng MY, Prayogo D (2016) A novel multiple objective symbiotic organisms search (MOSOS) for time\u2013cost\u2013labor utilization tradeoff problem. Knowl Based Syst 94:132\u2013145. https:\/\/doi.org\/10.1016\/J.KNOSYS.2015.11.016","journal-title":"Knowl Based Syst"},{"key":"8603_CR56","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/j.measurement.2018.04.052","volume":"124","author":"J Unnikrishna Pillai","year":"2018","unstructured":"Unnikrishna Pillai J, Sanghrajka I, Shunmugavel M, Muthuramalingam T, Goldberg M, Littlefair G (2018) Optimisation of multiple response characteristics on end milling of aluminium alloy using Taguchi-Grey relational approach. Meas J Int Meas Confed 124:291\u2013298. https:\/\/doi.org\/10.1016\/j.measurement.2018.04.052","journal-title":"Meas J Int Meas Confed"},{"key":"8603_CR57","doi-asserted-by":"publisher","unstructured":"Vaidyanathan R, Kevin Tucker P, Papila N, Shyy W (2003) CFD-based design optimization for a single element rocket injector. In: 41st Aerospace Sciences Meeting and Exhibit. https:\/\/doi.org\/10.2514\/6.2003-296","DOI":"10.2514\/6.2003-296"},{"key":"8603_CR58","doi-asserted-by":"publisher","unstructured":"Vikas, Nanda SJ (2016) Multi-objective moth flame optimization. In: 2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI, pp 2470\u20132476. https:\/\/doi.org\/10.1109\/ICACCI.2016.7732428","DOI":"10.1109\/ICACCI.2016.7732428"},{"issue":"6","key":"8603_CR59","doi-asserted-by":"publisher","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon F (1945) Individual comparisons by ranking methods. Biom Bull 1(6):80. https:\/\/doi.org\/10.2307\/3001968","journal-title":"Biom Bull"},{"issue":"1","key":"8603_CR60","doi-asserted-by":"publisher","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. https:\/\/doi.org\/10.1109\/4235.585893","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"8603_CR61","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1504\/IJBIC.2011.042259","volume":"3","author":"X-S Yang","year":"2012","unstructured":"Yang X-S (2012) Bat algorithm for multi-objective optimisation. Int J Bio-Inspired Comput 3(5):267\u2013274","journal-title":"Int J Bio-Inspired Comput"},{"issue":"6","key":"8603_CR62","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang Q, Li H (2007) MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11(6):712\u2013731. https:\/\/doi.org\/10.1109\/TEVC.2007.892759","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"8603_CR63","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/S12293-017-0237-2\/METRICS","volume":"10","author":"M Zhang","year":"2018","unstructured":"Zhang M, Wang H, Cui Z, Chen J (2018) Hybrid multi-objective cuckoo search with dynamical local search. Memet Comput 10(2):199\u2013208. https:\/\/doi.org\/10.1007\/S12293-017-0237-2\/METRICS","journal-title":"Memet Comput"},{"key":"8603_CR64","unstructured":"Zhang Q, Zhou A, Zhao S, Suganthan PN, Liu W, Tiwari S (2009) Rescheduling view project evolutionary algorithms for power system optimisation view project multiobjective optimization test instances for the CEC 2009 special session and competition. https:\/\/www.researchgate.net\/publication\/265432807"},{"key":"8603_CR65","unstructured":"Zitzler E (1999) Evolutionary algorithms for multiobjective optimization: methods and applications (Berichte Aus Der Informatik): Zitzler, Eckart: 9783826568312: Amazon.com: Books. Shaker Verlag GmbH, Germany. https:\/\/www.amazon.com\/Evolutionary-Algorithms-Multiobjective-Optimization-Applications\/dp\/3826568311"},{"issue":"4","key":"8603_CR66","doi-asserted-by":"publisher","first-page":"1291","DOI":"10.1016\/J.ENGAPPAI.2012.11.006","volume":"26","author":"F Zou","year":"2013","unstructured":"Zou F, Wang L, Hei X, Chen D, Wang B (2013) Multi-objective optimization using teaching-learning-based optimization algorithm. Eng Appl Artif Intell 26(4):1291\u20131300. https:\/\/doi.org\/10.1016\/J.ENGAPPAI.2012.11.006","journal-title":"Eng Appl Artif Intell"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-023-08603-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-023-08603-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-023-08603-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T12:14:13Z","timestamp":1693570453000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-023-08603-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,5]]},"references-count":67,"journal-issue":{"issue":"20","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["8603"],"URL":"https:\/\/doi.org\/10.1007\/s00500-023-08603-0","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,5]]},"assertion":[{"value":"22 May 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 July 2023","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 declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable<b>.<\/b>","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable<b>.<\/b>","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"Not applicable<b>.<\/b>","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}