{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:13:20Z","timestamp":1767420800066,"version":"3.48.0"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"18","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"NSFC Research Program","award":["62276010"],"award-info":[{"award-number":["62276010"]}]},{"name":"NSFC Research Program","award":["61906010"],"award-info":[{"award-number":["61906010"]}]},{"name":"R&D Program of Beijing Municipal Education Commission","award":["KZ202210005009"],"award-info":[{"award-number":["KZ202210005009"]}]},{"name":"R&D Program of Beijing Municipal Education Commission","award":["KM202010005032"],"award-info":[{"award-number":["KM202010005032"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s10489-025-07001-3","type":"journal-article","created":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T10:34:58Z","timestamp":1765622098000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A brain information decomposition mechanism inspired evolutionary algorithm for large-scale multi-objective optimization"],"prefix":"10.1007","volume":"55","author":[{"given":"Tongxuan","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6951-741X","authenticated-orcid":false,"given":"Junzhong","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cuicui","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,12,13]]},"reference":[{"issue":"2","key":"7001_CR1","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.ejor.2007.05.055","volume":"189","author":"N Jozefowiez","year":"2008","unstructured":"Jozefowiez N, Semet F, Talbi E (2008) Multi-objective vehicle routing problems. Eur J Oper Res 189(2):293\u2013309","journal-title":"Eur J Oper Res"},{"issue":"3","key":"7001_CR2","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1016\/j.ejor.2008.01.054","volume":"199","author":"J Branke","year":"2009","unstructured":"Branke J, Scheckenbach B, Stein M, Deb K, Schmeck H (2009) Portfolio optimization with an envelope-based multi-objective evolutionary algorithm. Eur J Oper Res 199(3):684\u2013693","journal-title":"Eur J Oper Res"},{"issue":"4","key":"7001_CR3","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1109\/TETCI.2020.3014923","volume":"5","author":"Y Tian","year":"2021","unstructured":"Tian Y, Su X, Su Y, Zhang X (2021) EMODMI: A multi-objective optimization based method to identify disease modules. IEEE Trans Emerg Top Comput Intell 5(4):570\u2013582","journal-title":"IEEE Trans Emerg Top Comput Intell"},{"issue":"3","key":"7001_CR4","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1109\/TEVC.2021.3099487","volume":"27","author":"S Liu","year":"2023","unstructured":"Liu S, Lin Q, Wong K, Li Q, Tan K (2023) Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. IEEE Trans Evol Comput 27(3):401\u2013415","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"7001_CR5","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s11633-020-1253-0","volume":"18","author":"W Hong","year":"2021","unstructured":"Hong W, Yang P, Tang K (2021) Evolutionary computation for large-scale multiobjective optimization: a decade of progresses. Int J Autom Comput 18(2):155\u2013169","journal-title":"Int J Autom Comput"},{"issue":"5","key":"7001_CR6","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1109\/TEVC.2021.3130835","volume":"26","author":"M Omidvar","year":"2022","unstructured":"Omidvar M, Li X, Yao X (2022) A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization\u2014Part II. IEEE Trans Evol Comput 26(5):823\u2013843","journal-title":"IEEE Trans Evol Comput"},{"key":"7001_CR7","doi-asserted-by":"crossref","unstructured":"Lu Y, Li B, Liu S, Zhou A (2023) A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization. Swarm Evol Comput 83:101377","DOI":"10.1016\/j.swevo.2023.101377"},{"key":"7001_CR8","doi-asserted-by":"crossref","unstructured":"Antonio L M, Coello C A C (2013) Use of cooperative coevolution for solving large scale multiobjective optimization problems, In: IEEE Congress on Evolutionary Computation, pp 2758\u20132765","DOI":"10.1109\/CEC.2013.6557903"},{"key":"7001_CR9","doi-asserted-by":"crossref","unstructured":"Antonio L M, Coello C A C (2016) Decomposition-based approach for solving large scale multi-objective problems. In: International Conference on Parallel Problem Solving from Nature, pp 525\u2013534","DOI":"10.1007\/978-3-319-45823-6_49"},{"key":"7001_CR10","doi-asserted-by":"crossref","unstructured":"Song A, Yang Q, Chen W, Zhang J (2016) A random-based dynamic grouping strategy for large scale multi-objective optimization, In: 2021 IEEE Congress on Evolutionary Computation, pp 468\u2013475","DOI":"10.1109\/CEC.2016.7743831"},{"issue":"2","key":"7001_CR11","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1109\/TEVC.2015.2455812","volume":"20","author":"X Ma","year":"2016","unstructured":"Ma X, Liu F, Qi Y, Wang X, Li L, Jiao L, Yin M, Gong M (2016) A multiobjective evolutionary algorithm based on decision variable analyses for multiobjective optimization problems with large-scale variables. IEEE Trans Evol Comput 20(2):275\u2013298","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"7001_CR12","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1109\/TEVC.2016.2600642","volume":"22","author":"X Zhang","year":"2018","unstructured":"Zhang X, Tian Y, Cheng R, Jin Y (2018) A decision variable clustering-based evolutionary algorithm for large-scale many-objective optimization. IEEE Trans Evol Comput 22(1):97\u2013112","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"7001_CR13","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/TEVC.2022.3213006","volume":"28","author":"C He","year":"2024","unstructured":"He C, Cheng R, Li L, Tan KC, Jin Y (2024) Large-scale multiobjective optimization via reformulated decision variable analysis. IEEE Trans Evol Comput 28(1):47\u201361","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"7001_CR14","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1109\/TEVC.2017.2704782","volume":"22","author":"H Zille","year":"2018","unstructured":"Zille H, Ishibuchi H, Mostaghim S, Nojima Y (2018) A framework for large-scale multiobjective optimization based on problem transformation. IEEE Trans Evol Comput 22(2):260\u2013275","journal-title":"IEEE Trans Evol Comput"},{"key":"7001_CR15","doi-asserted-by":"crossref","unstructured":"Li L, He C, Cheng R, Pan L (2021) Large-scale multiobjective optimization via problem decomposition and reformulation. In: 2021 IEEE congress on evolutionary computation, pp 2149\u20132155","DOI":"10.1109\/CEC45853.2021.9504820"},{"issue":"2","key":"7001_CR16","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1109\/TSMC.2020.3003926","volume":"52","author":"C He","year":"2020","unstructured":"He C, Cheng R, Yazdani D (2020) Adaptive offspring generation for evolutionary large-scale multiobjective optimization. IEEE Trans Syst Man Cybern Syst 52(2):786\u2013798","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"7001_CR17","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1016\/j.ins.2018.10.007","volume":"509","author":"H Chen","year":"2020","unstructured":"Chen H, Cheng R, Wen J, Li H, Weng J (2020) Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations. Inform Sci 509:457\u2013469","journal-title":"Inform Sci"},{"issue":"1","key":"7001_CR18","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/TEVC.2022.3155593","volume":"27","author":"S Liu","year":"2023","unstructured":"Liu S, Li J, Lin Q, Tian Y, Tan K (2023) Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization. IEEE Trans Evol Comput 27(1):67\u201381","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"7001_CR19","doi-asserted-by":"crossref","first-page":"2238","DOI":"10.1109\/TCYB.2015.2474153","volume":"46","author":"Q Qin","year":"2016","unstructured":"Qin Q, Cheng S, Zhang Q, Li L, Shi Y (2016) Particle Swarm Optimization With Interswarm Interactive Learning Strategy. IEEE Trans Cybern 46(2):2238\u20132251","journal-title":"IEEE Trans Cybern"},{"key":"7001_CR20","doi-asserted-by":"crossref","unstructured":"Timme N M, Lapish C (2018) A tutorial for information theory in neuroscience. eNeuro 5(3):e0052-18.2018","DOI":"10.1523\/ENEURO.0052-18.2018"},{"key":"7001_CR21","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.bandc.2015.09.004","volume":"112","author":"M Wibral","year":"2017","unstructured":"Wibral M, Priesemann V, Kay JW, Lizier JT, Phillips WA (2017) Partial information decomposition as a unified approach to the specification of neural goal functions. Brain Cogn 112:25\u201338","journal-title":"Brain Cogn"},{"issue":"4","key":"7001_CR22","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.tics.2023.11.005","volume":"28","author":"AI Luppi","year":"2024","unstructured":"Luppi AI, Rosas FE, Mediano PAM, Menon DK, Stamatakis EA (2024) Information decomposition and the informational architecture of the brain. Trends Cogn Sci 28(4):352\u2013368","journal-title":"Trends Cogn Sci"},{"issue":"6","key":"7001_CR23","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1038\/s41593-022-01070-0","volume":"25","author":"AI Luppi","year":"2022","unstructured":"Luppi AI, Mediano PAM, Rosas FE, Holland N, Fryer TD, O\u2019Brien JT, Rowe JB, Menon DK, Bor D, Stamatakis EA (2022) A synergistic core for human brain evolution and cognition. Nat Neurosci 25(6):771\u2013782","journal-title":"Nat Neurosci"},{"issue":"1","key":"7001_CR24","doi-asserted-by":"crossref","first-page":"4839","DOI":"10.1038\/s41467-019-12764-8","volume":"10","author":"Y Wei","year":"2019","unstructured":"Wei Y, de Lange SC, Scholtens LH, Watanabe K, Ardesch DJ, Jansen PR, Savage JE, Li L, Preuss TM, Rilling JK, Posthuma D, van den Heuvel MP (2019) Genetic mapping and evolutionary analysis of human-expanded cognitive networks. Nat Commun 10(1):4839","journal-title":"Nat Commun"},{"key":"7001_CR25","doi-asserted-by":"crossref","first-page":"2012","DOI":"10.1109\/TIFS.2019.2954652","volume":"15","author":"B Rassouli","year":"2020","unstructured":"Rassouli B, Rosas FE, G\u00fcnd\u00fcz D (2020) Data Disclosure Under Perfect Sample Privacy. IEEE Trans Inf Foren Sec 15:2012\u20132025","journal-title":"IEEE Trans Inf Foren Sec"},{"key":"7001_CR26","doi-asserted-by":"crossref","unstructured":"Rosas FE, Mediano PAM, Rassouli B, Barrett AB (2020) An operational information decomposition via synergistic disclosure. J Phys A: Math Theor 53:485001","DOI":"10.1088\/1751-8121\/abb723"},{"key":"7001_CR27","doi-asserted-by":"crossref","first-page":"9296","DOI":"10.1038\/s41467-024-53373-4","volume":"15","author":"AM S\u00e1nchez","year":"2024","unstructured":"S\u00e1nchez AM, Arranz G, Dur\u00e1n AL (2024) Decomposing causality into its synergistic, unique, and redundant components. Nat Commun 15:9296","journal-title":"Nat Commun"},{"issue":"12","key":"7001_CR28","doi-asserted-by":"crossref","first-page":"4108","DOI":"10.1109\/TCYB.2016.2600577","volume":"47","author":"R Cheng","year":"2017","unstructured":"Cheng R, Jin Y, Olhofer M, Sendhoff B (2017) Test problems for large-scale multiobjective and many-objective optimization. IEEE Trans Cybern 47(12):4108\u20134121","journal-title":"IEEE Trans Cybern"},{"key":"7001_CR29","doi-asserted-by":"crossref","unstructured":"Cao B, Zhao J, Gu Y, Ling Y, Ma X (2020) Applying graph-based differential grouping for multiobjective large-scale optimization. Swarm Evol Comput 53:100626","DOI":"10.1016\/j.swevo.2019.100626"},{"key":"7001_CR30","doi-asserted-by":"crossref","unstructured":"Chen Y, Zhou Z, Liu Y, Hu L, Zou Z, Xu L, Gan Z, Ouyang C (2025) Dynamic Grouping with a Self-Aware Computational Resource Allocation for Large-Scale Multi-Objective Optimization. IEEE Trans Evol Comput early access","DOI":"10.1109\/TEVC.2025.3564335"},{"issue":"12","key":"7001_CR31","doi-asserted-by":"crossref","first-page":"13048","DOI":"10.1109\/TCYB.2021.3098186","volume":"52","author":"S Liu","year":"2022","unstructured":"Liu S, Lin Q, Tian Y, Tan K (2022) A Variable Importance-Based Differential Evolution for Large-Scale Multiobjective Optimization. IEEE Trans Cybern 52(12):13048\u201313062","journal-title":"IEEE Trans Cybern"},{"key":"7001_CR32","doi-asserted-by":"crossref","unstructured":"Yin F, Cao B (2023) A two-space-decomposition-based evolutionary algorithm for large-scale multiobjective optimization. Swarm Evol Comput 83:101397","DOI":"10.1016\/j.swevo.2023.101397"},{"issue":"2","key":"7001_CR33","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1109\/TEVC.2025.3529938","volume":"29","author":"B Li","year":"2025","unstructured":"Li B, Yang Y, Yang P, Li G, Tang K, Zhou A (2025) Causal Inference-Based Large-Scale Multiobjective Optimization. IEEE Trans Evol Comput 29(2):444\u2013458","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"7001_CR34","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1109\/TEVC.2021.3063606","volume":"25","author":"S Qin","year":"2021","unstructured":"Qin S, Sun C, Jin Y, Tan Y, Fieldsend J (2021) Large-scale evolutionary multiobjective optimization assisted by directed sampling. IEEE Trans Evol Comput 25(4):724\u2013738","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"7001_CR35","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1109\/TEVC.2021.3110780","volume":"27","author":"X Yao","year":"2023","unstructured":"Yao X, Zhao Q, Gong D, Zhu S (2023) Solution of large-scale many-objective optimization problems based on dimension reduction and solving knowledge guided evolutionary algorithm. IEEE Trans Evol Comput 27(3):416\u2013429","journal-title":"IEEE Trans Evol Comput"},{"key":"7001_CR36","doi-asserted-by":"crossref","unstructured":"Sun Y, Jiang D (2024) An improved problem transformation algorithm for large-scale multi-objective optimization. Swarm Evol Comput 89:101622","DOI":"10.1016\/j.swevo.2024.101622"},{"key":"7001_CR37","doi-asserted-by":"crossref","unstructured":"Ge Y, Wang Z, Wang H, Cheng F, Zhang L (2025) Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem. Swarm Evol Comput 95:101931","DOI":"10.1016\/j.swevo.2025.101931"},{"key":"7001_CR38","doi-asserted-by":"crossref","unstructured":"Zou J, Tang L, Liu Y, Yang S, Wang S (2024) A two-stage direction-guided evolutionary algorithm for large-scale multiobjective optimization. Inform Sci 674:120719","DOI":"10.1016\/j.ins.2024.120719"},{"issue":"3","key":"7001_CR39","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1109\/TEVC.2023.3296488","volume":"29","author":"B Li","year":"2025","unstructured":"Li B, Zhang Y, Yang P, Yao X, Zhou A (2025) A Two-Population Algorithm for Large-Scale Multiobjective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection. IEEE Trans Evol Comput 29(3):631\u2013645","journal-title":"IEEE Trans Evol Comput"},{"key":"7001_CR40","doi-asserted-by":"crossref","unstructured":"Liu Q, Li J, Liu S, Ma L, Li J, Chen J (2023) An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization. Swarm Evol Comput 77:101235","DOI":"10.1016\/j.swevo.2023.101235"},{"key":"7001_CR41","doi-asserted-by":"crossref","unstructured":"Wang H, Chen L, Hao X, Qu R, Zhou W, Wang D, Liu W (2024) Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization. Swarm Evol Comput 91:101763","DOI":"10.1016\/j.swevo.2024.101763"},{"issue":"6","key":"7001_CR42","doi-asserted-by":"crossref","first-page":"3502","DOI":"10.1109\/TCYB.2023.3287596","volume":"54","author":"L Li","year":"2024","unstructured":"Li L, Li Y, Lin Q, Liu S, Zhou J, Ming Z, Coello CAC (2024) Neural Net-Enhanced Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. IEEE Trans Cybern 54(6):3502\u20133515","journal-title":"IEEE Trans Cybern"},{"key":"7001_CR43","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1111\/cogs.12632","volume":"42","author":"S Frey","year":"2018","unstructured":"Frey S, Albino DK, Williams PL (2018) Synergistic information processing encrypts strategic reasoning in poker. Cogn Sci 42:1457\u20131476","journal-title":"Cogn Sci"},{"issue":"1","key":"7001_CR44","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1038\/s42003-023-04843-w","volume":"6","author":"TF Varley","year":"2023","unstructured":"Varley TF, Pope M, Faskowitz J, Sporns O (2023) Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex. Commun Biol 6(1):451","journal-title":"Commun Biol"},{"issue":"2","key":"7001_CR45","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1177\/10738584221138032","volume":"30","author":"AI Luppi","year":"2024","unstructured":"Luppi AI, Rosas FE, Turkheimer FE (2024) Oxygen and the Spark of Human Brain Evolution: Complex Interactions of Metabolism and Cortical Expansion across Development and Evolution. Neuroscientist 30(2):173\u2013198","journal-title":"Neuroscientist"},{"key":"7001_CR46","doi-asserted-by":"crossref","unstructured":"Varley TF, Pope M, Puxeddu MG, Faskowitz J, Sporns O (2023) Partial entropy decomposition reveals higher-order information structures in human brain activity. Proc Natl Acad Sci USA 120(30):e2300888120","DOI":"10.1073\/pnas.2300888120"},{"key":"7001_CR47","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1038\/s41562-020-01003-6","volume":"5","author":"G Deco","year":"2021","unstructured":"Deco G, Vidaurre D, Kringelbach ML (2021) Revisiting the global workspace orchestrating the hierarchical organization of the human brain. Nat Hum Behav 5:497\u2013511","journal-title":"Nat Hum Behav"},{"key":"7001_CR48","doi-asserted-by":"crossref","unstructured":"Francis NA, Mukherjee S, Ko\u00e7illari L, Panzeri S, Babadi B, Kanold PO (2022) Sequential transmission of task-relevant information in cortical neuronal networks. Cell Rep 39(9):110878","DOI":"10.1016\/j.celrep.2022.110878"},{"issue":"11","key":"7001_CR49","doi-asserted-by":"crossref","first-page":"2344","DOI":"10.1523\/JNEUROSCI.0861-21.2022","volume":"42","author":"I Delis","year":"2022","unstructured":"Delis I, Ince RAA, Sajda P, Wang Q (2022) Neural Encoding of Active Multi-Sensing Enhances Perceptual Decision-Making via a Synergistic Cross-Modal Interaction. J Neurosci 42(11):2344\u20132355","journal-title":"J Neurosci"},{"issue":"7","key":"7001_CR50","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1016\/j.tins.2023.04.001","volume":"46","author":"AS Greene","year":"2023","unstructured":"Greene AS, Horien C, Barson D, Scheinost D, Constable RT (2023) Why is everyone talking about brain state? Trends Neurosci 46(7):508\u2013524","journal-title":"Trends Neurosci"},{"issue":"6","key":"7001_CR51","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1109\/TEVC.2016.2549267","volume":"20","author":"B Li","year":"2016","unstructured":"Li B, Tang K, Li J, Yao X (2016) Stochastic ranking algorithm for many-objective optimization based on multiple indicators. IEEE Trans Evol Comput 20(6):924\u2013938","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"7001_CR52","first-page":"347","volume":"21","author":"YH Zhang","year":"2017","unstructured":"Zhang YH, Gong YJ, Zhang HX, Gu TL, Zhang J (2017) Toward fast Niching evolutionary algorithms: A locality sensitive hashing-based approach. IEEE Trans Evol Comput 21(3):347\u2013362","journal-title":"IEEE Trans Evol Comput"},{"key":"7001_CR53","doi-asserted-by":"crossref","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182\u2013197","DOI":"10.1109\/4235.996017"},{"key":"7001_CR54","doi-asserted-by":"crossref","unstructured":"Tian Y, Cheng R, Zhang X, Jin Y (2017) Platemo: A matlab platform for evolutionary multi-objective optimization [educational forum] IEEE Comput Intell M 12(4):73\u201387","DOI":"10.1109\/MCI.2017.2742868"},{"issue":"12","key":"7001_CR55","doi-asserted-by":"crossref","first-page":"4108","DOI":"10.1109\/TCYB.2016.2600577","volume":"47","author":"R Cheng","year":"2017","unstructured":"Cheng R, Jin Y, Olhofer M, Sendhoff B (2017) Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans Cybern 47(12):4108\u20134121","journal-title":"IEEE Trans Cybern"},{"issue":"6","key":"7001_CR56","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1109\/TEVC.2015.2395073","volume":"19","author":"R Cheng","year":"2015","unstructured":"Cheng R, Jin Y, Narukawa K, Sendhoff B (2015) Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Trans Evol Comput 19(6):838\u2013856","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"7001_CR57","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/TEVC.2003.810761","volume":"7","author":"PAN Bosman","year":"2003","unstructured":"Bosman PAN, Thierens D (2003) The balance between proximity and diversity in multiobjective evolutionary algorithms. IEEE Trans Evol Comput 7(2):174\u2013188","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"7001_CR58","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1214\/aoms\/1177731944","volume":"11","author":"M Friedman","year":"1940","unstructured":"Friedman M (1940) A comparison of alternative tests of significance for the problem of m rankings. Annals Mathe Stat 11(1):86\u201392","journal-title":"Annals Mathe Stat"},{"issue":"5","key":"7001_CR59","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1109\/TEVC.2020.2967501","volume":"24","author":"C He","year":"2020","unstructured":"He C, Cheng R, Zhang C, Tian Y, Chen Q, Yao X (2020) Evolutionary large-scale multiobjective optimization for ratio error estimation of voltage transformers. IEEE Trans Evol Comput 24(5):868\u2013881","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"7001_CR60","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/TEVC.2005.851275","volume":"10","author":"L While","year":"2006","unstructured":"While L, Hingston P, Barone L, Huband S (2006) A faster algorithm for calculating hypervolume. IEEE Trans Evol Comput 10(1):29\u201338","journal-title":"IEEE Trans Evol Comput"},{"key":"7001_CR61","doi-asserted-by":"crossref","unstructured":"Ray T, TRai K, Seow C, (2001) An evolutionary algorithm for multiobjective optimization. Eng Optim 33(3):339\u2013424","DOI":"10.1080\/03052150108940926"},{"issue":"2","key":"7001_CR62","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1109\/TEVC.2019.2918140","volume":"24","author":"Y Tian","year":"2020","unstructured":"Tian Y, Zhang X, Wang C, Jin Y (2020) An evolutionary algorithm for large-scale sparse multiobjective optimization problems. IEEE Trans Evol Comput 24(2):380\u2013393","journal-title":"IEEE Trans Evol Comput"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-025-07001-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-025-07001-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-025-07001-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:11:34Z","timestamp":1767420694000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-025-07001-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":62,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["7001"],"URL":"https:\/\/doi.org\/10.1007\/s10489-025-07001-3","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"2 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 November 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 December 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"1142"}}