{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:34:42Z","timestamp":1777577682844,"version":"3.51.4"},"reference-count":59,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100013317","name":"Shanxi Provincial Key Research and Development Project","doi-asserted-by":"publisher","award":["202102020101002"],"award-info":[{"award-number":["202102020101002"]}],"id":[{"id":"10.13039\/501100013317","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009076","name":"University of Science and Technology of China","doi-asserted-by":"publisher","award":["20232120"],"award-info":[{"award-number":["20232120"]}],"id":[{"id":"10.13039\/501100009076","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372319"],"award-info":[{"award-number":["62372319"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014717","name":"Youth Science Fund Project","doi-asserted-by":"publisher","award":["62506257"],"award-info":[{"award-number":["62506257"]}],"id":[{"id":"10.13039\/100014717","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006469","name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","doi-asserted-by":"publisher","award":["SAR FDCT 0041\/2023\/RIA1"],"award-info":[{"award-number":["SAR FDCT 0041\/2023\/RIA1"]}],"id":[{"id":"10.13039\/501100006469","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006469","name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","doi-asserted-by":"publisher","award":["MYRG-CRG2025-00028-FST-ICI"],"award-info":[{"award-number":["MYRG-CRG2025-00028-FST-ICI"]}],"id":[{"id":"10.13039\/501100006469","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Swarm and Evolutionary Computation"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1016\/j.swevo.2025.102275","type":"journal-article","created":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T10:39:19Z","timestamp":1770287959000},"page":"102275","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["A surrogate-assisted evolutionary algorithm with multi-perspective infill sampling for expensive super-many-objective optimization problems"],"prefix":"10.1016","volume":"101","author":[{"given":"Xiaotong","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoli","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"16","key":"10.1016\/j.swevo.2025.102275_b1","doi-asserted-by":"crossref","first-page":"27803","DOI":"10.1109\/JIOT.2024.3404492","article-title":"DV-Hop localization based on distance estimation using multinode and hop loss in IoT","volume":"11","author":"Wang","year":"2024","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"10.1016\/j.swevo.2025.102275_b2","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1109\/TGCN.2024.3374700","article-title":"Distributed semantic communications for multimodal Audio-Visual parsing tasks","volume":"8","author":"Wang","year":"2024","journal-title":"IEEE Trans. Green Commun. Netw."},{"issue":"6","key":"10.1016\/j.swevo.2025.102275_b3","doi-asserted-by":"crossref","first-page":"4764","DOI":"10.1109\/TAP.2024.3391904","article-title":"Design of a microwave\/millimeter-wave shared-aperture antenna by hybridizing series-fed antenna array and leaky wave antenna","volume":"72","author":"Lin","year":"2024","journal-title":"IEEE Trans. Antennas and Propagation"},{"key":"10.1016\/j.swevo.2025.102275_b4","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.ins.2020.09.073","article-title":"Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems","volume":"556","author":"Dong","year":"2021","journal-title":"Inform. Sci."},{"issue":"3","key":"10.1016\/j.swevo.2025.102275_b5","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1109\/TEVC.2018.2869001","article-title":"Data-driven evolutionary optimization: An overview and case studies","volume":"23","author":"Jin","year":"2018","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.swevo.2025.102275_b6","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1109\/TEVC.2020.2978158","article-title":"A survey of weight vector adjustment methods for decomposition-based multiobjective evolutionary algorithms","volume":"24","author":"Ma","year":"2020","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"10.1016\/j.swevo.2025.102275_b7","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1109\/TSMC.2020.3003926","article-title":"Adaptive offspring generation for evolutionary large-scale multiobjective optimization","volume":"52","author":"He","year":"2020","journal-title":"IEEE Trans. Syst. Man Cybern.: Syst."},{"issue":"2","key":"10.1016\/j.swevo.2025.102275_b8","doi-asserted-by":"crossref","first-page":"104","DOI":"10.17352\/gje.000070","article-title":"A review and evaluation of multi and many-objective optimization: Methods and algorithms","volume":"7","author":"Karami","year":"2022","journal-title":"Glob. J. Ecol."},{"issue":"11","key":"10.1016\/j.swevo.2025.102275_b9","doi-asserted-by":"crossref","first-page":"6998","DOI":"10.1109\/TCYB.2022.3180214","article-title":"A multi-population multi-objective evolutionary algorithm based on the contribution of decision variables to objectives for large-scale multi\/many-objective optimization","volume":"53","author":"Xu","year":"2022","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.swevo.2025.102275_b10","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117738","article-title":"An improved NSGA-III algorithm based on distance dominance relation for many-objective optimization","volume":"207","author":"Gu","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.swevo.2025.102275_b11","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.ins.2020.11.008","article-title":"Non-dominated sorting on performance indicators for evolutionary many-objective optimization","volume":"551","author":"Wang","year":"2021","journal-title":"Inform. Sci."},{"issue":"6","key":"10.1016\/j.swevo.2025.102275_b12","doi-asserted-by":"crossref","first-page":"5157","DOI":"10.1007\/s40747-022-00747-0","article-title":"A decomposition-based many-objective evolutionary algorithm with optional performance indicators","volume":"8","author":"Wang","year":"2022","journal-title":"Complex Intell. Syst."},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s40747-020-00148-1","article-title":"Multiple-strategy learning particle swarm optimization for large-scale optimization problems","volume":"7","author":"Wang","year":"2021","journal-title":"Complex Intell. Syst."},{"issue":"6","key":"10.1016\/j.swevo.2025.102275_b14","doi-asserted-by":"crossref","first-page":"3657","DOI":"10.1007\/s11831-023-09914-z","article-title":"A comparative study of state-of-the-art metaheuristics for solving many-objective optimization problems of fixed wing unmanned aerial vehicle conceptual design","volume":"30","author":"Anosri","year":"2023","journal-title":"Arch. Comput. Methods Eng."},{"key":"10.1016\/j.swevo.2025.102275_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101253","article-title":"Multimodal multi-objective optimization: Comparative study of the state-of-the-art","volume":"77","author":"Li","year":"2023","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.swevo.2025.102275_b16","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121281","article-title":"An improved two-archive artificial bee colony algorithm for many-objective optimization","volume":"236","author":"Ye","year":"2024","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00158-015-1226-z","article-title":"A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods","volume":"52","author":"Tabatabaei","year":"2015","journal-title":"Struct. Multidiscip. Optim."},{"issue":"9","key":"10.1016\/j.swevo.2025.102275_b18","doi-asserted-by":"crossref","first-page":"2664","DOI":"10.1109\/TCYB.2017.2710978","article-title":"Committee-based active learning for surrogate-assisted particle swarm optimization of expensive problems","volume":"47","author":"Wang","year":"2017","journal-title":"IEEE Trans. Cybern."},{"issue":"4","key":"10.1016\/j.swevo.2025.102275_b19","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1109\/TETCI.2022.3146882","article-title":"Deep reinforcement learning based adaptive operator selection for evolutionary multi-objective optimization","volume":"7","author":"Tian","year":"2022","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b20","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1109\/TEVC.2017.2672689","article-title":"Turning high-dimensional optimization into computationally expensive optimization","volume":"22","author":"Yang","year":"2017","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"10.1016\/j.swevo.2025.102275_b21","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1109\/TEVC.2019.2899030","article-title":"A multiple surrogate assisted decomposition-based evolutionary algorithm for expensive multi\/many-objective optimization","volume":"23","author":"Habib","year":"2019","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2025.102275_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121374","article-title":"A composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization","volume":"236","author":"Zhai","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.swevo.2025.102275_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.108197","article-title":"Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems","volume":"240","author":"Liu","year":"2022","journal-title":"Knowl.-Based Syst."},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b24","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/TEVC.2016.2622301","article-title":"A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization","volume":"22","author":"Chugh","year":"2016","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2025.102275_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2022.101107","article-title":"A two-stage surrogate-assisted evolutionary algorithm (TS-SAEA) for expensive multi\/many-objective optimization","volume":"73","author":"Li","year":"2022","journal-title":"Swarm Evol. Comput."},{"issue":"4","key":"10.1016\/j.swevo.2025.102275_b26","doi-asserted-by":"crossref","first-page":"2084","DOI":"10.1109\/TSMC.2020.3044418","article-title":"Evolutionary optimization of high-dimensional multiobjective and many-objective expensive problems assisted by a dropout neural network","volume":"52","author":"Guo","year":"2021","journal-title":"IEEE Trans. Syst. Man Cybern.: Syst."},{"issue":"4","key":"10.1016\/j.swevo.2025.102275_b27","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1109\/TEVC.2017.2749619","article-title":"An indicator-based multiobjective evolutionary algorithm with reference point adaptation for better versatility","volume":"22","author":"Tian","year":"2017","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2025.102275_b28","doi-asserted-by":"crossref","first-page":"159160","DOI":"10.1109\/ACCESS.2021.3131587","article-title":"A surrogate-assisted many-objective evolutionary algorithm using multi-classification and coevolution for expensive optimization problems","volume":"9","author":"Wang","year":"2021","journal-title":"IEEE Access"},{"issue":"6","key":"10.1016\/j.swevo.2025.102275_b29","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1109\/TEVC.2021.3073648","article-title":"A kriging-assisted two-archive evolutionary algorithm for expensive many-objective optimization","volume":"25","author":"Song","year":"2021","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.swevo.2025.102275_b30","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1109\/TEVC.2014.2350987","article-title":"Two_Arch2: An improved two-archive algorithm for many-objective optimization","volume":"19","author":"Wang","year":"2014","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.swevo.2025.102275_b31","doi-asserted-by":"crossref","first-page":"921","DOI":"10.1109\/TEVC.2024.3380327","article-title":"Computationally expensive high-dimensional multiobjective optimization via Surrogate-Assisted reformulation and decomposition","volume":"29","author":"Pan","year":"2025","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b32","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1109\/TEVC.2005.851274","article-title":"ParEGO: A hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems","volume":"10","author":"Knowles","year":"2006","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"10.1016\/j.swevo.2025.102275_b33","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1162\/evco_a_00354","article-title":"Large-Scale multiobjective evolutionary algorithm guided by Low-Dimensional surrogates of scalarization functions","volume":"33","author":"Gu","year":"2025","journal-title":"Evol. Comput."},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b34","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1109\/TCYB.2021.3126341","article-title":"Choose appropriate subproblems for collaborative modeling in expensive multiobjective optimization","volume":"53","author":"Wang","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.swevo.2025.102275_b35","doi-asserted-by":"crossref","unstructured":"Y. Horaguchi, K. Nishihara, M. Nakata, Evolutionary Multiobjective Optimization Assisted by Scalarization Function Approximation for High-Dimensional Expensive Problems (HOP GECCO\u201925), in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025, pp. 33\u201334.","DOI":"10.1145\/3712255.3734244"},{"issue":"6","key":"10.1016\/j.swevo.2025.102275_b36","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","article-title":"MOEA\/D: A multiobjective evolutionary algorithm based on decomposition","volume":"11","author":"Zhang","year":"2007","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.swevo.2025.102275_b37","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1109\/TEVC.2023.3237605","article-title":"A performance indicator-based infill criterion for expensive multi-\/many-objective optimization","volume":"27","author":"Qin","year":"2023","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2025.102275_b38","series-title":"Proceedings of 2012 IEEE Congress on Evolutionary Computation","first-page":"1","article-title":"Pareto rank learning in multi-objective evolutionary algorithms","author":"Seah","year":"2012"},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b39","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/TEVC.2018.2802784","article-title":"A classification-based surrogate-assisted evolutionary algorithm for expensive many-objective optimization","volume":"23","author":"Pan","year":"2018","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"5","key":"10.1016\/j.swevo.2025.102275_b40","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1109\/TEVC.2022.3152582","article-title":"Expensive multiobjective optimization by relation learning and prediction","volume":"26","author":"Hao","year":"2022","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2025.102275_b41","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101323","article-title":"A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization","volume":"80","author":"Tian","year":"2023","journal-title":"Swarm Evol. Comput."},{"issue":"8","key":"10.1016\/j.swevo.2025.102275_b42","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1016\/S0098-3004(00)00031-5","article-title":"Practical application of fuzzy logic and neural networks to fractured reservoir characterization","volume":"26","author":"Ouenes","year":"2000","journal-title":"Comput. Geosci."},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b43","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1109\/TEVC.2021.3098257","article-title":"Expensive multiobjective evolutionary optimization assisted by dominance prediction","volume":"26","author":"Yuan","year":"2021","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"10.1016\/j.swevo.2025.102275_b44","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1109\/TEVC.2022.3195668","article-title":"Dual-fuzzy-classifier-based evolutionary algorithm for expensive multiobjective optimization","volume":"27","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"10.1016\/j.swevo.2025.102275_b45","doi-asserted-by":"crossref","first-page":"1867","DOI":"10.1109\/TEVC.2023.3340678","article-title":"Grid classification-based surrogate-assisted particle swarm optimization for expensive multiobjective optimization","volume":"28","author":"Yang","year":"2023","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b46","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1109\/TETCI.2025.3577511","article-title":"Expensive Many-Objective evolutionary optimization with a Self-Adaptive surrogate model","volume":"10","author":"Liu","year":"2026","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b47","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1080\/00401706.2000.10485979","article-title":"A comparison of three methods for selecting values of input variables in the analysis of output from a computer code","volume":"42","author":"McKay","year":"2000","journal-title":"Technometrics"},{"issue":"2","key":"10.1016\/j.swevo.2025.102275_b48","first-page":"115","article-title":"Simulated binary crossover for continuous search space","volume":"9","author":"Deb","year":"1995","journal-title":"Complex Systems"},{"key":"10.1016\/j.swevo.2025.102275_b49","first-page":"30","article-title":"A combined genetic adaptive search (GeneAS) for engineering design","volume":"26","author":"Deb","year":"1996","journal-title":"Comput. Sci. Inform."},{"issue":"3","key":"10.1016\/j.swevo.2025.102275_b50","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1137\/S1052623496307510","article-title":"Normal-Boundary intersection: A new method for generating the Pareto surface in nonlinear multicriteria optimization problems","volume":"8","author":"Das","year":"1998","journal-title":"SIAM J. Optim."},{"issue":"5","key":"10.1016\/j.swevo.2025.102275_b51","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1109\/TEVC.2016.2519378","article-title":"A reference vector guided evolutionary algorithm for Many-Objective optimization","volume":"20","author":"Cheng","year":"2016","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2025.102275_b52","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.ins.2020.01.048","article-title":"An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization","volume":"519","author":"Wang","year":"2020","journal-title":"Inform. Sci."},{"key":"10.1016\/j.swevo.2025.102275_b53","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.ins.2023.01.018","article-title":"A performance approximation assisted expensive many-objective evolutionary algorithm","volume":"625","author":"Wang","year":"2023","journal-title":"Inform. Sci."},{"issue":"5","key":"10.1016\/j.swevo.2025.102275_b54","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1109\/TEVC.2005.861417","article-title":"A review of multiobjective test problems and a scalable test problem toolkit","volume":"10","author":"Huband","year":"2006","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2025.102275_b55","series-title":"Evolutionary Multiobjective Optimization: Theoretical Advances and Applications","first-page":"105","article-title":"Scalable test problems for evolutionary multiobjective optimization","author":"Deb","year":"2005"},{"key":"10.1016\/j.swevo.2025.102275_b56","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106078","article-title":"An easy-to-use real-world multi-objective optimization problem suite","volume":"89","author":"Tanabe","year":"2020","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.swevo.2025.102275_b57","series-title":"Proceedings of International Conference on Evolutionary Multi-Criterion Optimization","first-page":"110","article-title":"Modified distance calculation in generational distance and inverted generational distance","author":"Ishibuchi","year":"2015"},{"issue":"1","key":"10.1016\/j.swevo.2025.102275_b58","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/TEVC.2005.851275","article-title":"A faster algorithm for calculating hypervolume","volume":"10","author":"While","year":"2006","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.swevo.2025.102275_b59","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1109\/MCI.2017.2742868","article-title":"PlatEMO: A MATLAB platform for evolutionary multi-objective optimization [educational forum]","volume":"12","author":"Tian","year":"2017","journal-title":"IEEE Comput. Intell. Mag."}],"container-title":["Swarm and Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210650225004328?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210650225004328?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T23:21:31Z","timestamp":1774048891000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2210650225004328"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":59,"alternative-id":["S2210650225004328"],"URL":"https:\/\/doi.org\/10.1016\/j.swevo.2025.102275","relation":{},"ISSN":["2210-6502"],"issn-type":[{"value":"2210-6502","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A surrogate-assisted evolutionary algorithm with multi-perspective infill sampling for expensive super-many-objective optimization problems","name":"articletitle","label":"Article Title"},{"value":"Swarm and Evolutionary Computation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.swevo.2025.102275","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"102275"}}