{"id":1743,"date":"2016-11-30T14:56:05","date_gmt":"2016-11-30T12:56:05","guid":{"rendered":"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/konen\/?p=1743"},"modified":"2016-11-30T20:24:08","modified_gmt":"2016-11-30T18:24:08","slug":"online-selection-of-surrogate-models-for-constrained-black-box-optimization-at-ssci-2016","status":"publish","type":"post","link":"https:\/\/blogs.gm.fh-koeln.de\/konen\/2016\/11\/30\/online-selection-of-surrogate-models-for-constrained-black-box-optimization-at-ssci-2016\/","title":{"rendered":"&#8222;Online Selection of Surrogate Models for Constrained Black-Box Optimization&#8220;  at SSCI 2016"},"content":{"rendered":"<div class=\"twoclick_social_bookmarks_post_1743 social_share_privacy clearfix 1.6.4 locale-de_DE sprite-de_DE\"><\/div><div class=\"twoclick-js\"><script type=\"text\/javascript\">\/* <![CDATA[ *\/\njQuery(document).ready(function($){if($('.twoclick_social_bookmarks_post_1743')){$('.twoclick_social_bookmarks_post_1743').socialSharePrivacy({\"txt_help\":\"Wenn Sie diese Felder durch einen Klick aktivieren, werden Informationen an Facebook, Twitter, Flattr, Xing, t3n, LinkedIn, Pinterest oder Google eventuell ins Ausland \\u00fcbertragen und unter Umst\\u00e4nden auch dort gespeichert. N\\u00e4heres erfahren Sie durch einen Klick auf das <em>i<\\\/em>.\",\"settings_perma\":\"Dauerhaft aktivieren und Daten\\u00fcber-tragung zustimmen:\",\"info_link\":\"http:\\\/\\\/www.heise.de\\\/ct\\\/artikel\\\/2-Klicks-fuer-mehr-Datenschutz-1333879.html\",\"uri\":\"https:\\\/\\\/blogs.gm.fh-koeln.de\\\/konen\\\/2016\\\/11\\\/30\\\/online-selection-of-surrogate-models-for-constrained-black-box-optimization-at-ssci-2016\\\/\",\"post_id\":1743,\"post_title_referrer_track\":\"%26%238222%3BOnline+Selection+of+Surrogate+Models+for+Constrained+Black-Box+Optimization%26%238220%3B++at+SSCI+2016\",\"display_infobox\":\"on\"});}});\n\/* ]]> *\/<\/script><\/div><p class=\"lead\">\n\t<a class=\"thickbox\" href=\"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/ciop\/files\/2016\/10\/sscilogo.jpg\"><img decoding=\"async\" alt=\"sscilogo\" class=\"aligncenter size-full wp-image-958\" src=\"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/ciop\/files\/2016\/10\/sscilogo.jpg\" style=\"height: 393px;width: 700px\" \/><\/a>\n<\/p>\n<p>\n\tWe are delighted&nbsp;to announce&nbsp;that our recent research work related to online model selection for constrained optimization has been accepted for publication and it will be presented at&nbsp; &quot;<strong>IEEE Symposium Series on Computational Intelligence&quot; (IEEE SSCI 2016)<\/strong>. &nbsp;The SSCI 2016 conference will be held in Athens, Greece, from 6th to 9th of December, 2016. Many plenary and keynote talks are planned in the wide field of computational intelligence.&nbsp;\n<\/p>\n<p>\n\tOur article &quot;<strong>Online Selection of Surrogate Models for Constrained Black-Box Optimization<\/strong>&quot; received many positive\n<\/p>\n<p>\n\t<!--more-->\n<\/p>\n<p>\n\treviews. In our former work,&nbsp;we have developed a surrogate assisted algorithm for optimization under constraints which builds a separate surrogate model for each constraint and objective function. Then it tries to solve the optimization problem on the surrogates. So far, we always used the same model type for all functions. Now, these functions can be of completely different types for each constraint and objective, leading to possibly better models. This formed our motivation to think about an <strong>online algorithm<\/strong> which selects out of an <strong>ensemble <\/strong>the best model for each function in each iteration. We have shown that the <a href=\"https:\/\/cran.r-project.org\/web\/packages\/SACOBRA\/index.html\">SACOBRA <\/a>optimizer with ensembles of models&nbsp;improves success rates by 15% in comparison to&nbsp;<a href=\"https:\/\/cran.r-project.org\/web\/packages\/SACOBRA\/index.html\">SACOBRA <\/a>with a fixed&nbsp;model.&nbsp;\n<\/p>\n<p>\n\tThe figure shows our best ensemble &quot;MQ-Cubic&quot; (an ensemble of different multiquadric RBFs and cubic RBFs, red curve), in comparison to fixed variants (blue and violet curves). The data profile is a measure of optimization success on a suite of problems, the higher the better:\n<\/p>\n<a class=\"thickbox\" href=\"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/ciop\/files\/2016\/10\/ssci2016.png\"><img decoding=\"async\" alt=\"ssci2016\" class=\"aligncenter size-full wp-image-966\" src=\"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/ciop\/files\/2016\/10\/ssci2016.png\" style=\"height: 284px;width: 500px\" \/><\/a>\n<p>\n\t&nbsp;\n<\/p>\n<p>\n\tIf you are interested in reading our paper you can download it from <a href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-SSCI.pdf\">http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-SSCI.pdf<\/a>. If you are attending the SSCI 2016 conference, don&#039;t miss our presentation <img loading=\"lazy\" decoding=\"async\" alt=\"wink\" height=\"23\" src=\"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/ciop\/wp-content\/plugins\/ckeditor-for-wordpress\/ckeditor\/plugins\/smiley\/images\/wink_smile.png\" title=\"wink\" width=\"23\" \/>.&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are delighted&nbsp;to announce&nbsp;that our recent research work related to online model selection for constrained optimization has been accepted for publication and it will be presented at&nbsp; &quot;IEEE Symposium Series on Computational Intelligence&quot; (IEEE SSCI 2016). &nbsp;The SSCI 2016 conference will be held in Athens, Greece, from 6th to 9th of December, 2016. Many plenary&#8230;  <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/2016\/11\/30\/online-selection-of-surrogate-models-for-constrained-black-box-optimization-at-ssci-2016\/\" class=\"more-link\" title=\"Read &#8222;Online Selection of Surrogate Models for Constrained Black-Box Optimization&#8220;  at SSCI 2016\"><?php _e(\"Read more &raquo;\",\"wpbootstrap\"); ?><\/a><\/p>\n","protected":false},"author":38,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[139,9579,224],"tags":[24018,9613,9011,19474,19492],"class_list":["post-1743","post","type-post","status-publish","format-standard","hentry","category-general","category-monrep-en-projects","category-research","tag-ensemble","tag-monrep","tag-optimization-2","tag-phd","tag-surrogate-models"],"acf":[],"_links":{"self":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/posts\/1743","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/comments?post=1743"}],"version-history":[{"count":3,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/posts\/1743\/revisions"}],"predecessor-version":[{"id":1753,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/posts\/1743\/revisions\/1753"}],"wp:attachment":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/media?parent=1743"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/categories?post=1743"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/tags?post=1743"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}