{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:34:14Z","timestamp":1730298854501,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/ssci44817.2019.9002901","type":"proceedings-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T07:49:24Z","timestamp":1582271364000},"page":"1937-1944","source":"Crossref","is-referenced-by-count":0,"title":["Surrogate-Assisted Optimization of the Opt-IA Artificial Immune System Algorithm"],"prefix":"10.1109","author":[{"given":"Yuko","family":"Sakanaka","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nathanael","family":"Aubert-Kato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"COCO:? A platform for comparing continuous optimizers in a black-box setting","author":"hansen","year":"2016","journal-title":"ArXiv e-prints arXiv 1603 08785"},{"journal-title":"Randomsearch-4","year":"2017","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2463372.2463427"},{"key":"ref13","article-title":"Clonal selection algorithms","author":"brownlee","year":"2007","journal-title":"Complex Intelligent Systems Laboratory Swinburne University of Technology Australia"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref15","first-page":"2171","article-title":"DEAP: Evolutionary algorithms made easy","volume":"13","author":"fortin","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-011-9736-8"},{"journal-title":"Gaussian Processes for Machine Learning","year":"2006","author":"rasmussen","key":"ref17"},{"key":"ref18","first-page":"63","article-title":"Gaussian processes in machine learning","author":"edward rasmussen","year":"2003","journal-title":"Machine Learning Summer School"},{"key":"ref19","first-page":"784","article-title":"On the distribution of points in a cube and the approximate evaluation of integrals","volume":"7","author":"meerovich sobol\u2019","year":"1967","journal-title":"Zhurnal vychislitel noj matemaki i matematicheskoj fiziki"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1201\/9781420065466"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-003-0328-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2002.1011539"},{"key":"ref5","first-page":"284","article-title":"An immunological algorithm for global numerical optimization","author":"cutello","year":"2005","journal-title":"International Conference on Artificial Evolution (Evolution Artificielle)"},{"key":"ref8","article-title":"Surrogate-assisted artificial immune systems for expensive optimization problems","author":"bernardino","year":"2009","journal-title":"Evolutionary Computation"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3071178.3079194"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.paerosci.2008.11.001"},{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195099713.001.0001","author":"back","year":"1996","journal-title":"Evolutionary Algorithms in Theory and Practice Evolution Strategies Evolutionary Programming Genetic Algorithms"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14547-6_11"},{"journal-title":"Sobol sequence implementation in python","year":"2017","key":"ref20"},{"journal-title":"Scikit learn 1 7 gaussian processes","year":"0","key":"ref22"},{"key":"ref21","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"year":"0","key":"ref23"}],"event":{"name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","start":{"date-parts":[[2019,12,6]]},"location":"Xiamen, China","end":{"date-parts":[[2019,12,9]]}},"container-title":["2019 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8975711\/9002648\/09002901.pdf?arnumber=9002901","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:48:54Z","timestamp":1658094534000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9002901\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/ssci44817.2019.9002901","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}