{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T15:56:54Z","timestamp":1762444614396,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,7,20]],"date-time":"2016-07-20T00:00:00Z","timestamp":1468972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Smart Multi Energy Systems"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,7,20]]},"DOI":"10.1145\/2908961.2931703","type":"proceedings-article","created":{"date-parts":[[2016,7,29]],"date-time":"2016-07-29T19:04:16Z","timestamp":1469819056000},"page":"1209-1216","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization"],"prefix":"10.1145","author":[{"given":"Abdullah","family":"Al-Dujaili","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Suresh","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,7,20]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1007\/s10898-015-0270-y"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.1109\/CEC.2016.7744246"},{"unstructured":"H. Bengtsson. R.matlab: Read and Write MAT Files and Call MATLAB from Within R. R package version 3.5.0. 2016.  H. Bengtsson. R.matlab: Read and Write MAT Files and Call MATLAB from Within R. R package version 3.5.0. 2016.","key":"e_1_3_2_1_3_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1016\/j.ejor.2006.08.008"},{"unstructured":"M. Binois and V. Picheny. GPareto: Gaussian Processes for Pareto Front Estimation and Optimization 2016. R package version 1.0.2.  M. Binois and V. Picheny. GPareto: Gaussian Processes for Pareto Front Estimation and Optimization 2016. R package version 1.0.2.","key":"e_1_3_2_1_5_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1007\/BF01197708"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1109\/CEC.2015.7257134"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1145\/2739482.2768470"},{"volume-title":"John Wiley & Sons","year":"2001","author":"Deb K.","key":"e_1_3_2_1_9_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1109\/CEC.2011.5949880"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.5555\/1756006.1859919"},{"unstructured":"N. Hansen A. Auger O. Mersmann T. Tusar and D. Brockhoff. COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. arXiv preprint arXiv:1603.08785 2016.  N. Hansen A. Auger O. Mersmann T. Tusar and D. Brockhoff. COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. arXiv preprint arXiv:1603.08785 2016.","key":"e_1_3_2_1_12_1"},{"unstructured":"N. Hansen T. Tusar A. Auger D. Brockhoff and O. Mersmann. COCO: Experimental Procedure. http:\/\/numbbo.github.io\/coco-doc\/experimental-setup\/ 2016.  N. Hansen T. Tusar A. Auger D. Brockhoff and O. Mersmann. COCO: Experimental Procedure. http:\/\/numbbo.github.io\/coco-doc\/experimental-setup\/ 2016.","key":"e_1_3_2_1_13_1"},{"doi-asserted-by":"crossref","unstructured":"A. L. Hoffmann A. Y. Siem D. den Hertog J. H. Kaanders and H. Huizenga. Derivative-free generation and interpolation of convex pareto optimal IMRT plans. Physics in medicine and biology 51(24):6349 2006.  A. L. Hoffmann A. Y. Siem D. den Hertog J. H. Kaanders and H. Huizenga. Derivative-free generation and interpolation of convex pareto optimal IMRT plans. Physics in medicine and biology 51(24):6349 2006.","key":"e_1_3_2_1_14_1","DOI":"10.1088\/0031-9155\/51\/24\/005"},{"key":"e_1_3_2_1_15_1","first-page":"238","volume-title":"Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence","author":"Hoos H. H.","year":"1998"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1007\/BF00941892"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1023\/A:1008306431147"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1109\/TEVC.2005.851274"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1007\/978-3-540-31880-4_13"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1145\/1830483.1830571"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1109\/CEC.2013.6557879"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.2307\/1271432"},{"unstructured":"J. Mueller. MATSuMoTo: The matlab surrogate model toolbox for computationally expensive black-box global optimization problems. arXiv preprint arXiv:1404.4261 2014.  J. Mueller. MATSuMoTo: The matlab surrogate model toolbox for computationally expensive black-box global optimization problems. arXiv preprint arXiv:1404.4261 2014.","key":"e_1_3_2_1_23_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.1007\/s10898-014-0184-0"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1007\/s11222-014-9477-x"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","first-page":"784","DOI":"10.1007\/978-3-540-87700-4_78","volume-title":"Parallel Problem Solving from Nature--PPSN X","author":"Ponweiser W.","year":"2008"},{"key":"e_1_3_2_1_27_1","first-page":"107","volume-title":"IEEE Symposium on","author":"Santana-Quintero L. V.","year":"2007"},{"volume-title":"The Ohio State University","year":"2010","author":"Svenson J. D.","key":"e_1_3_2_1_28_1"},{"unstructured":"T. Tusar D. Brockhoff N. Hansen and A. Auger. COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. ArXiv e-prints arXiv:1604.00359 Apr. 2016.  T. Tusar D. Brockhoff N. Hansen and A. Auger. COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. ArXiv e-prints arXiv:1604.00359 Apr. 2016.","key":"e_1_3_2_1_29_1"}],"event":{"sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"acronym":"GECCO '16","name":"GECCO '16: Genetic and Evolutionary Computation Conference","location":"Denver Colorado USA"},"container-title":["Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2908961.2931703","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2908961.2931703","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:55:47Z","timestamp":1750222547000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2908961.2931703"}},"subtitle":["A Preliminary Study"],"short-title":[],"issued":{"date-parts":[[2016,7,20]]},"references-count":29,"alternative-id":["10.1145\/2908961.2931703","10.1145\/2908961"],"URL":"https:\/\/doi.org\/10.1145\/2908961.2931703","relation":{},"subject":[],"published":{"date-parts":[[2016,7,20]]},"assertion":[{"value":"2016-07-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}