{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:10:48Z","timestamp":1750219848728,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T00:00:00Z","timestamp":1689120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62106076","62272210","62106098"],"award-info":[{"award-number":["62106076","62272210","62106098"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,15]]},"DOI":"10.1145\/3583131.3590435","type":"proceedings-article","created":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T19:40:19Z","timestamp":1689190819000},"page":"722-730","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1135-601X","authenticated-orcid":false,"given":"Yongfan","family":"Lu","sequence":"first","affiliation":[{"name":"Shanghai Institute of AI for Education, East China Normal University, Shanghai, China"},{"name":"School of Computer Science and Technology, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1742-2766","authenticated-orcid":false,"given":"Bingdong","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Institute of AI for Education, East China Normal University, Shanghai, China"},{"name":"School of Computer Science and Technology, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2170-5264","authenticated-orcid":false,"given":"Hong","family":"Qian","sequence":"additional","affiliation":[{"name":"Shanghai Institute of AI for Education, East China Normal University, Shanghai, China"},{"name":"School of Computer Science and Technology, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9054-5714","authenticated-orcid":false,"given":"Wenjing","family":"Hong","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5333-6155","authenticated-orcid":false,"given":"Peng","family":"Yang","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"},{"name":"Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4768-5946","authenticated-orcid":false,"given":"Aimin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shanghai Institute of AI for Education, East China Normal University, Shanghai, China"},{"name":"School of Computer Science and Technology, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,7,12]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23--25 2015 in Tijuana, Mexico. Springer, 281--330","author":"Sosa Hern\u00e1ndez V\u00edctor Adri\u00e1n","year":"2016","unstructured":"V\u00edctor Adri\u00e1n Sosa Hern\u00e1ndez , Adriana Lara , Heike Trautmann , G\u00fcnter Rudolph , and Oliver Sch\u00fctze . 2016 . The directed search method for unconstrained parameter dependent multi-objective optimization problems . In NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23--25 2015 in Tijuana, Mexico. Springer, 281--330 . V\u00edctor Adri\u00e1n Sosa Hern\u00e1ndez, Adriana Lara, Heike Trautmann, G\u00fcnter Rudolph, and Oliver Sch\u00fctze. 2016. The directed search method for unconstrained parameter dependent multi-objective optimization problems. In NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23--25 2015 in Tijuana, Mexico. Springer, 281--330."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1068009.1068138"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.810761"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3468264.3468555"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2622301"},{"key":"e_1_3_2_2_6_1","volume-title":"Ram Bhushan Agrawal, et al","author":"Deb Kalyanmoy","year":"1995","unstructured":"Kalyanmoy Deb , Ram Bhushan Agrawal, et al . 1995 . Simulated binary crossover for continuous search space. Complex systems 9, 2 (1995), 115--148. Kalyanmoy Deb, Ram Bhushan Agrawal, et al. 1995. Simulated binary crossover for continuous search space. Complex systems 9, 2 (1995), 115--148."},{"key":"e_1_3_2_2_7_1","unstructured":"Kalyanmoy Deb Mayank Goyal etal 1996. A combined genetic adaptive search (GeneAS) for engineering design. Computer Science and informatics 26 (1996) 30--45.  Kalyanmoy Deb Mayank Goyal et al. 1996. A combined genetic adaptive search (GeneAS) for engineering design. Computer Science and informatics 26 (1996) 30--45."},{"volume-title":"Evolutionary Computation (CEC), 2002 IEEE Congress on. IEEE, 825--830","author":"Deb K.","key":"e_1_3_2_2_8_1","unstructured":"K. Deb , L. Thiele , M. Laumanns , and E. Zitzler . 2002. Scalable multi-objective optimization test problems . In Evolutionary Computation (CEC), 2002 IEEE Congress on. IEEE, 825--830 . K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. 2002. Scalable multi-objective optimization test problems. In Evolutionary Computation (CEC), 2002 IEEE Congress on. IEEE, 825--830."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390206"},{"key":"e_1_3_2_2_10_1","first-page":"2005","article-title":"High frequency structure simulator (HFSS) tutorial. IETR","volume":"6164","author":"Mrabet Otman El","year":"2006","unstructured":"Otman El Mrabet . 2006 . High frequency structure simulator (HFSS) tutorial. IETR , UMR CNRS 6164 (2006), 2005 -- 2006 . Otman El Mrabet. 2006. High frequency structure simulator (HFSS) tutorial. IETR, UMR CNRS 6164 (2006), 2005--2006.","journal-title":"UMR CNRS"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321842"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3152582"},{"key":"e_1_3_2_2_13_1","volume-title":"Kay Chen Tan, and Yaochu Jin","author":"He Cheng","year":"2022","unstructured":"Cheng He , Ran Cheng , Lianghao Li , Kay Chen Tan, and Yaochu Jin . 2022 . Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Transactions on Evolutionary Computation ( 2022). Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, and Yaochu Jin. 2022. Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Transactions on Evolutionary Computation (2022)."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3003926"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.3390\/mca27030048"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1017536311488"},{"volume-title":"Nonlinear multiobjective optimization: a generalized homotopy approach","author":"Hillermeier Claus","key":"e_1_3_2_2_17_1","unstructured":"Claus Hillermeier . 2001. Nonlinear multiobjective optimization: a generalized homotopy approach . Vol. 135 . Springer Science & Business Media . Claus Hillermeier. 2001. Nonlinear multiobjective optimization: a generalized homotopy approach. Vol. 135. Springer Science & Business Media."},{"key":"e_1_3_2_2_18_1","series-title":"Journal of physics: Conference series","volume-title":"Survey on multi-objective evolutionary algorithms","author":"Huang Wenlan","year":"2057","unstructured":"Wenlan Huang , Yu Zhang , and Lan Li. 2019. Survey on multi-objective evolutionary algorithms . In Journal of physics: Conference series , Vol. 1288 . IOP Publishing , 01 2057 . Wenlan Huang, Yu Zhang, and Lan Li. 2019. Survey on multi-objective evolutionary algorithms. In Journal of physics: Conference series, Vol. 1288. IOP Publishing, 012057."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.05.001"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24854-5_71"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2869001"},{"volume-title":"Data-Driven Evolutionary Optimization","author":"Jin Yaochu","key":"e_1_3_2_2_22_1","unstructured":"Yaochu Jin , Handing Wang , and Chaoli Sun . 2021. Surrogate-Assisted Multi-objective Evolutionary Optimization . In Data-Driven Evolutionary Optimization . Springer , 201--229. Yaochu Jin, Handing Wang, and Chaoli Sun. 2021. Surrogate-Assisted Multi-objective Evolutionary Optimization. In Data-Driven Evolutionary Optimization. Springer, 201--229."},{"key":"e_1_3_2_2_23_1","volume-title":"Dimension reduction by local principal component analysis. Neural computation 9, 7","author":"Kambhatla Nandakishore","year":"1997","unstructured":"Nandakishore Kambhatla and Todd K Leen . 1997. Dimension reduction by local principal component analysis. Neural computation 9, 7 ( 1997 ), 1493--1516. Nandakishore Kambhatla and Todd K Leen. 1997. Dimension reduction by local principal component analysis. Neural computation 9, 7 (1997), 1493--1516."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.851274"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2792984"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-013-1151-2"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-021-00362-5"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321729"},{"volume-title":"Nonlinear Multiobjective Optimization","author":"Miettinen K.","key":"e_1_3_2_2_29_1","unstructured":"K. Miettinen . 1999. Nonlinear Multiobjective Optimization . Vol. 12 . Springer . K. Miettinen. 1999. Nonlinear Multiobjective Optimization. Vol. 12. Springer."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2802784"},{"key":"e_1_3_2_2_31_1","first-page":"2","article-title":"Software Module Clustering as a Multi-Objective Search Problem. Software Engineering","volume":"37","author":"Praditwong K.","year":"2011","unstructured":"K. Praditwong , M. Harman , and X. Yao . 2011 . Software Module Clustering as a Multi-Objective Search Problem. Software Engineering , IEEE Transactions on 37 , 2 (March 2011), 264--282. K. Praditwong, M. Harman, and X. Yao. 2011. Software Module Clustering as a Multi-Objective Search Problem. Software Engineering, IEEE Transactions on 37, 2 (March 2011), 264--282.","journal-title":"IEEE Transactions on"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390191"},{"volume-title":"Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms","author":"Sch\u00fctze Oliver","key":"e_1_3_2_2_33_1","unstructured":"Oliver Sch\u00fctze and Carlos Hern\u00e1ndez . 2021. Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms . Springer . Oliver Sch\u00fctze and Carlos Hern\u00e1ndez. 2021. Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms. Springer."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-017-0667-7"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3073648"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12293-021-00351-8"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2924461"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2794319"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2017.2742868"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2906383"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2350987"},{"key":"e_1_3_2_2_42_1","volume-title":"Regularity model for noisy multiobjective optimization","author":"Wang Handing","year":"2015","unstructured":"Handing Wang , Qingfu Zhang , Licheng Jiao , and Xin Yao . 2015. Regularity model for noisy multiobjective optimization . IEEE transactions on cybernetics 46, 9 ( 2015 ), 1997--2009. Handing Wang, Qingfu Zhang, Licheng Jiao, and Xin Yao. 2015. Regularity model for noisy multiobjective optimization. IEEE transactions on cybernetics 46, 9 (2015), 1997--2009."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3512290.3528710"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2941123"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.06.008"},{"volume-title":"Breakthroughs in statistics","author":"Wilcoxon Frank","key":"e_1_3_2_2_46_1","unstructured":"Frank Wilcoxon . 1992. Individual comparisons by ranking methods . In Breakthroughs in statistics . Springer , 196--202. Frank Wilcoxon. 1992. Individual comparisons by ranking methods. In Breakthroughs in statistics. Springer, 196--202."},{"key":"e_1_3_2_2_47_1","volume-title":"Principal component analysis. Chemometrics and intelligent laboratory systems 2, 1--3","author":"Wold Svante","year":"1987","unstructured":"Svante Wold , Kim Esbensen , and Paul Geladi . 1987. Principal component analysis. Chemometrics and intelligent laboratory systems 2, 1--3 ( 1987 ), 37--52. Svante Wold, Kim Esbensen, and Paul Geladi. 1987. Principal component analysis. Chemometrics and intelligent laboratory systems 2, 1--3 (1987), 37--52."},{"key":"e_1_3_2_2_48_1","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference","author":"Zhang Qingfu","year":"2003","unstructured":"Qingfu Zhang , Jianyong Sun , Edward Tsang , and John Ford . 2003 . Combination of guided local search and estimation of distribution algorithm for quadratic assignment problems . In Proceedings of the Genetic and Evolutionary Computation Conference , Chicago, IL, USA. 42--48. Qingfu Zhang, Jianyong Sun, Edward Tsang, and John Ford. 2003. Combination of guided local search and estimation of distribution algorithm for quadratic assignment problems. In Proceedings of the Genetic and Evolutionary Computation Conference, Chicago, IL, USA. 42--48."},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.894202"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2387433"},{"key":"e_1_3_2_2_51_1","volume-title":"Approximating the set of Pareto-optimal solutions in both the decision and objective spaces by an estimation of distribution algorithm","author":"Zhou Aimin","year":"2009","unstructured":"Aimin Zhou , Qingfu Zhang , and Yaochu Jin . 2009. Approximating the set of Pareto-optimal solutions in both the decision and objective spaces by an estimation of distribution algorithm . IEEE transactions on evolutionary computation 13, 5 ( 2009 ), 1167--1189. Aimin Zhou, Qingfu Zhang, and Yaochu Jin. 2009. Approximating the set of Pareto-optimal solutions in both the decision and objective spaces by an estimation of distribution algorithm. IEEE transactions on evolutionary computation 13, 5 (2009), 1167--1189."}],"event":{"name":"GECCO '23: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Lisbon Portugal","acronym":"GECCO '23"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583131.3590435","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583131.3590435","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:03Z","timestamp":1750178823000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583131.3590435"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,12]]},"references-count":51,"alternative-id":["10.1145\/3583131.3590435","10.1145\/3583131"],"URL":"https:\/\/doi.org\/10.1145\/3583131.3590435","relation":{},"subject":[],"published":{"date-parts":[[2023,7,12]]},"assertion":[{"value":"2023-07-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}