{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T17:43:59Z","timestamp":1788284639410,"version":"build-2803163510"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,13]],"date-time":"2019-07-13T00:00:00Z","timestamp":1562976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,13]]},"DOI":"10.1145\/3321707.3321842","type":"proceedings-article","created":{"date-parts":[[2019,7,3]],"date-time":"2019-07-03T13:48:04Z","timestamp":1562161684000},"page":"664-672","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":49,"title":["A global surrogate assisted CMA-ES"],"prefix":"10.1145","author":[{"given":"Nikolaus","family":"Hansen","sequence":"first","affiliation":[{"name":"Inria & Ecole polytechnique, Palaiseau, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2464576.2482701"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2005.1554902"},{"key":"e_1_3_2_1_3_1","first-page":"182","volume-title":"International Conference on Parallel Problem Solving from Nature","author":"Auger Anne","year":"2004","unstructured":"Anne Auger , Marc Schoenauer , and Nicolas Vanhaecke . LS-CMA-ES : A second-order algorithm for covariance matrix adaptation . In International Conference on Parallel Problem Solving from Nature , pages 182 -- 191 . Springer , 2004 . Anne Auger, Marc Schoenauer, and Nicolas Vanhaecke. LS-CMA-ES: A second-order algorithm for covariance matrix adaptation. In International Conference on Parallel Problem Solving from Nature, pages 182--191. Springer, 2004."},{"key":"e_1_3_2_1_4_1","volume-title":"Gaussian process surrogate models for the CMA evolution strategy. Evolutionary computation, to appear","author":"Bajer Luk\u00e1\u0161","year":"2019","unstructured":"Luk\u00e1\u0161 Bajer , Zbyn\u011bk Pitra , Jakub Repick\u1ef3 , and Martin Hole\u0148a . Gaussian process surrogate models for the CMA evolution strategy. Evolutionary computation, to appear 2019 . Luk\u00e1\u0161 Bajer, Zbyn\u011bk Pitra, Jakub Repick\u1ef3, and Martin Hole\u0148a. Gaussian process surrogate models for the CMA evolution strategy. Evolutionary computation, to appear 2019."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205651.3208303"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1570256.1570312"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33206-7_8"},{"key":"e_1_3_2_1_8_1","volume-title":"October","author":"Hansen Nikolaus","year":"2011","unstructured":"Nikolaus Hansen . Injecting external solutions into CMA-ES. ArXiv e-prints, arXiv:1110.4181 , October 2011 . Nikolaus Hansen. Injecting external solutions into CMA-ES. ArXiv e-prints, arXiv:1110.4181, October 2011."},{"key":"e_1_3_2_1_9_1","volume-title":"April","author":"Hansen Nikolaus","year":"2016","unstructured":"Nikolaus Hansen . The CMA evolution strategy: A tutorial. ArXiv e-prints, arXiv:1604.00772 {cs.LG} , April 2016 . Nikolaus Hansen. The CMA evolution strategy: A tutorial. ArXiv e-prints, arXiv:1604.00772 {cs.LG}, April 2016."},{"key":"e_1_3_2_1_10_1","unstructured":"Nikolaus Hansen Youhei Akimoto and Petr Baudis. CMA-ES\/pycma on Github. Zenodo February 2019.  Nikolaus Hansen Youhei Akimoto and Petr Baudis. CMA-ES\/pycma on Github. Zenodo February 2019."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-43505-2_44"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365603321828970"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365601750190398"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1830761.1830788"},{"key":"e_1_3_2_1_16_1","volume-title":"COCO: the experimental procedure. ArXiv e-prints, arXiv:1603.08776 {cs.AI}","author":"Hansen Nikolaus","year":"2016","unstructured":"Nikolaus Hansen , Tea Tusar , Olaf Mersmann , Anne Auger , and Dimo Brockhoff . COCO: the experimental procedure. ArXiv e-prints, arXiv:1603.08776 {cs.AI} , 2016 . Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, and Dimo Brockhoff. COCO: the experimental procedure. ArXiv e-prints, arXiv:1603.08776 {cs.AI}, 2016."},{"key":"e_1_3_2_1_17_1","first-page":"258","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference GECCO-99","author":"Harik Georges R","year":"1999","unstructured":"Georges R Harik and Fernando G Lobo . A parameter-less genetic algorithm. In W. Banzhaf et al., editors , Proceedings of the Genetic and Evolutionary Computation Conference GECCO-99 , pages 258 -- 265 . Morgan Kaufmann Publishers , 1999 . Georges R Harik and Fernando G Lobo. A parameter-less genetic algorithm. In W. Banzhaf et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference GECCO-99, pages 258--265. Morgan Kaufmann Publishers, 1999."},{"key":"e_1_3_2_1_18_1","volume-title":"Benchmarking of MCS on the noiseless function testbed. Technical report","author":"Huyer Waltraud","year":"2009","unstructured":"Waltraud Huyer and Arnold Neumaier . Benchmarking of MCS on the noiseless function testbed. Technical report , University of Vienna , 2009 . Waltraud Huyer and Arnold Neumaier. Benchmarking of MCS on the noiseless function testbed. Technical report, University of Vienna, 2009."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2006.1688662"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/11844297_95"},{"key":"e_1_3_2_1_21_1","volume-title":"Deutsche Forschungs- und Versuchsanstalt fur Luft- und Raumfahrt","author":"Kraft Dieter","year":"1988","unstructured":"Dieter Kraft . A software package for sequential quadratic programming. Research report DFVLR-FB--88-28 , Deutsche Forschungs- und Versuchsanstalt fur Luft- und Raumfahrt , 1988 . Dieter Kraft. A software package for sequential quadratic programming. Research report DFVLR-FB--88-28, Deutsche Forschungs- und Versuchsanstalt fur Luft- und Raumfahrt, 1988."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/192115.192124"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2330784.2330811"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2330163.2330210"},{"key":"e_1_3_2_1_25_1","volume-title":"A simplex method for function minimization. The computer journal, 7(4):308--313","author":"Nelder John A","year":"1965","unstructured":"John A Nelder and Roger Mead . A simplex method for function minimization. The computer journal, 7(4):308--313 , 1965 . John A Nelder and Roger Mead. A simplex method for function minimization. The computer journal, 7(4):308--313, 1965."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276958.1277075"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-30065-1_16"},{"key":"e_1_3_2_1_28_1","volume-title":"Frommann-Holzboog","author":"Rechenberg Ingo","year":"1973","unstructured":"Ingo Rechenberg . Evolutionsstrategie-Optimierung technischer Systeme nach Prinzipien der biologischen Evolution . Frommann-Holzboog , 1973 . Ingo Rechenberg. Evolutionsstrategie-Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. Frommann-Holzboog, 1973."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1570256.1570336"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/1570256.1570338"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/11844297_106"}],"event":{"name":"GECCO '19: Genetic and Evolutionary Computation Conference","location":"Prague Czech Republic","acronym":"GECCO '19","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3321707.3321842","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3321707.3321842","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:25:29Z","timestamp":1750206329000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3321707.3321842"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,13]]},"references-count":30,"alternative-id":["10.1145\/3321707.3321842","10.1145\/3321707"],"URL":"https:\/\/doi.org\/10.1145\/3321707.3321842","relation":{},"subject":[],"published":{"date-parts":[[2019,7,13]]},"assertion":[{"value":"2019-07-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}