{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:11:40Z","timestamp":1743073900483,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030218027"},{"type":"electronic","value":"9783030218034"}],"license":[{"start":{"date-parts":[[2019,6,15]],"date-time":"2019-06-15T00:00:00Z","timestamp":1560556800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-21803-4_67","type":"book-chapter","created":{"date-parts":[[2019,6,15]],"date-time":"2019-06-15T02:03:24Z","timestamp":1560564204000},"page":"672-680","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SOP-Hybrid: A Parallel Surrogate-Based Candidate Search Algorithm for\u00a0Expensive Optimization on Large Parallel Clusters"],"prefix":"10.1007","author":[{"given":"Taimoor","family":"Akhtar","sequence":"first","affiliation":[]},{"given":"Christine A.","family":"Shoemaker","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,15]]},"reference":[{"key":"67_CR1","unstructured":"Deb, K., Kalyanmoy, D.: Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, New York (2001)"},{"key":"67_CR2","unstructured":"Eriksson, D., Bindel, D., Shoemaker, C.: Surrogate optimization toolbox (pysot). https:\/\/github.com\/dme65\/pySOT (2015)"},{"key":"67_CR3","unstructured":"Hansen, N., Finck, S., Ros, R., Auger, A.: Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions. Technical Report RR-6829, INRIA (2009)"},{"key":"67_CR4","doi-asserted-by":"crossref","unstructured":"Hutter, F., Hoos, H.H., Leyton-Brown, K.: Sequential model-based optimization for general algorithm configuration. In: Proceedings of the 5th International Conference on Learning and Intelligent Optimization, pp. 507\u2013523. Springer-Verlag, Heidelberg (2011)","DOI":"10.1007\/978-3-642-25566-3_40"},{"key":"67_CR5","doi-asserted-by":"crossref","unstructured":"Ilievski, I., Akhtar, T., Feng, J., Shoemaker, C.: Efficient hyperparameter optimization for deep learning algorithms using deterministic RBF surrogates. In: AAAI Conference on Artificial Intelligence (2017)","DOI":"10.1609\/aaai.v31i1.10647"},{"issue":"4","key":"67_CR6","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1023\/A:1008306431147","volume":"13","author":"DR Jones","year":"1998","unstructured":"Jones, D.R., Schonlau, M., Welch, W.J.: Efficient global optimization of expensive black-box functions. J. Global Optim. 13(4), 455\u2013492 (1998)","journal-title":"J. Global Optim."},{"issue":"3","key":"67_CR7","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s10898-016-0407-7","volume":"66","author":"T Krityakierne","year":"2016","unstructured":"Krityakierne, T., Akhtar, T., Shoemaker, C.A.: SOP: parallel surrogate global optimization with pareto center selection for computationally expensive single objective problems. J. Global Optim. 66(3), 417\u2013437 (2016)","journal-title":"J. Global Optim."},{"key":"67_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2502-5","volume-title":"Global Optimization in Action","author":"JD Pint\u00e9r","year":"1996","unstructured":"Pint\u00e9r, J.D.: Global Optimization in Action. Springer, New York (1996)"},{"issue":"4","key":"67_CR9","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1287\/ijoc.1060.0182","volume":"19","author":"RG Regis","year":"2007","unstructured":"Regis, R.G., Shoemaker, C.A.: A stochastic radial basis function method for the global optimization of expensive functions. INFORMS J. Comput. 19(4), 497\u2013509 (2007)","journal-title":"INFORMS J. Comput."},{"issue":"3","key":"67_CR10","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1287\/ijoc.1090.0325","volume":"21","author":"RG Regis","year":"2009","unstructured":"Regis, R.G., Shoemaker, C.A.: Parallel stochastic global optimization using radial basis functions. INFORMS J. Comput. 21(3), 411\u2013426 (2009)","journal-title":"INFORMS J. Comput."},{"issue":"5","key":"67_CR11","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1080\/0305215X.2012.687731","volume":"45","author":"RG Regis","year":"2013","unstructured":"Regis, R.G., Shoemaker, C.A.: Combining radial basis function surrogates dynamic coordinate search in high dimensional expensive black-box optimization. Eng. Optim. 45(5), 529\u2013555 (2013)","journal-title":"Eng. Optim."},{"key":"67_CR12","doi-asserted-by":"crossref","unstructured":"Sergeyev, Y.D., Kvasov, D.E., Mukhametzhanov, M.S.: On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget. Sci. Rep. 8(453), (Jan 2018)","DOI":"10.1038\/s41598-017-18940-4"},{"key":"67_CR13","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4939-7199-2","volume-title":"Deterministic Global Optimization: An Introduction to the Diagonal Approach","author":"YD Sergeyev","year":"2017","unstructured":"Sergeyev, Y.D., Kvasov, D.E.: Deterministic Global Optimization: An Introduction to the Diagonal Approach, 1st edn. Springer, New York (2017)","edition":"1"},{"key":"67_CR14","unstructured":"Snoek, J., Larochelle, H., Adams, R.P.: Practical Bayesian optimization of machine learning algorithms. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 25, pp. 2951\u20132959. Curran Associates, Inc. (2012)"}],"container-title":["Advances in Intelligent Systems and Computing","Optimization of Complex Systems: Theory, Models, Algorithms and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-21803-4_67","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,20]],"date-time":"2022-09-20T21:22:40Z","timestamp":1663708960000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-21803-4_67"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,15]]},"ISBN":["9783030218027","9783030218034"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-21803-4_67","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,6,15]]},"assertion":[{"value":"15 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WCGO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"World Congress on Global Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Metz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wcgo2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}