BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Shanghai BEGIN:STANDARD DTSTART:19910915T010000 TZOFFSETFROM:+0900 TZOFFSETTO:+0800 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260612T165312Z UID:C0F980B5-5F45-44C2-BCB5-F1CF896516E1 DTSTART;TZID=Asia/Shanghai:20260615T150000 DTEND;TZID=Asia/Shanghai:20260615T173000 DESCRIPTION:This workshop explores cutting-edge methodologies and applicati ons in Evolutionary Computation. Addressing the growing demand for explain able and efficient AI\, the session highlights recent breakthroughs in gen etic programming (GP) and advanced evolutionary algorithms.\n\nKey topics include fundamental evolutionary learning via GP\, advances in implicit sy mbolic regression\, and novel multi-objective evolution strategies for ill -conditioned problems. Furthermore\, the workshop tackles practical deploy ment challenges\, featuring discussions on lightweight surrogate-assisted methods and the application of GP for explainable urban traffic signal con trol.\n\nSpeaker(s): zhixing\, Weili\, Chengyu\, Qite\, Junlan\n\nAgenda: \nTheme: Advances in Genetic Programming and Evolutionary Optimization\n\n Time: 15:00 – 17:30 (2 hours 30 minutes)\n\nTime Speaker Presentation Ti tle\n15:00 - 15:30 Zhixing Huang Evolutionary Learning by Genetic Programm ing\n15:30 - 16:00 Weili Liu Towards Explainable Traffic Signal Control fo r Urban Networks Through Genetic Programming\n16:00 - 16:30 Chengyu Lu Mul ti-objective Evolution Strategies for Dealing with Non-separable and Ill-c onditioned Multi-objective Problems\n16:30 - 17:00 Qite Yang A Study on Li ghtweight Surrogate Methods in Surrogate-Assisted Evolutionary Algorithms\ n17:00 - 17:30 Junlan Dong Advances in Implicit Symbolic Regression\n\nRoo m: 308\, Bldg: B3\, South China University of Technology\, Panyu District\ , Guangzhou Higher Education Mega Center\, Guangzhou\, Guangdong\, China\, 510000 LOCATION:Room: 308\, Bldg: B3\, South China University of Technology\, Pany u District\, Guangzhou Higher Education Mega Center\, Guangzhou\, Guangdon g\, China\, 510000 ORGANIZER:jinghuizhong@gmail.com SEQUENCE:58 SUMMARY:Workshop on Advances in Genetic Programming and Evolutionary Optimi zation URL;VALUE=URI:https://events.vtools.ieee.org/m/563466 X-ALT-DESC:Description: <br /><p data-path-to-node="3">This workshop explor es cutting-edge methodologies and applications in Evolutionary Computation . Addressing the growing demand for explainable and efficient AI\, the ses sion highlights recent breakthroughs in genetic programming (GP) and advan ced evolutionary algorithms.</p>\n<p data-path-to-node="3">Key topics incl ude fundamental evolutionary learning via GP\, advances in implicit symbol ic regression\, and novel multi-objective evolution strategies for ill-con ditioned problems. Furthermore\, the workshop tackles practical deployment challenges\, featuring discussions on lightweight surrogate-assisted meth ods and the application of GP for explainable urban traffic signal control .</p><br /><br />Agenda: <br /><p data-path-to-node="3"><strong data-path- to-node="3" data-index-in-node="0">Theme:</strong> Advances in Genetic Pro gramming and Evolutionary Optimization</p>\n<p data-path-to-node="3"><stro ng data-path-to-node="3" data-index-in-node="69">Time:</strong> 15:00 &nda sh\; 17:30 (2 hours 30 minutes)</p>\n<table data-path-to-node="4">\n<thead >\n<tr>\n<td><strong>Time</strong></td>\n<td><strong>Speaker</strong></td> \n<td><strong>Presentation Title</strong></td>\n</tr>\n</thead>\n<tbody>\n <tr>\n<td><span data-path-to-node="4\,1\,0\,0"><strong data-path-to-node=" 4\,1\,0\,0" data-index-in-node="0">15:00 - 15:30</strong></span></td>\n<td ><span data-path-to-node="4\,1\,1\,0">Zhixing Huang</span></td>\n<td><span data-path-to-node="4\,1\,2\,0">Evolutionary Learning by Genetic Programmi ng</span></td>\n</tr>\n<tr>\n<td><span data-path-to-node="4\,2\,0\,0"><str ong data-path-to-node="4\,2\,0\,0" data-index-in-node="0">15:30 - 16:00</s trong></span></td>\n<td><span data-path-to-node="4\,2\,1\,0">Weili Liu</sp an></td>\n<td><span data-path-to-node="4\,2\,2\,0">Towards Explainable Tra ffic Signal Control for Urban Networks Through Genetic Programming</span>< /td>\n</tr>\n<tr>\n<td><span data-path-to-node="4\,3\,0\,0"><strong data-p ath-to-node="4\,3\,0\,0" data-index-in-node="0">16:00 - 16:30</strong></sp an></td>\n<td><span data-path-to-node="4\,3\,1\,0">Chengyu Lu</span></td>\ n<td><span data-path-to-node="4\,3\,2\,0">Multi-objective Evolution Strate gies for Dealing with Non-separable and Ill-conditioned Multi-objective Pr oblems</span></td>\n</tr>\n<tr>\n<td><span data-path-to-node="4\,5\,0\,0"> <strong data-path-to-node="4\,5\,0\,0" data-index-in-node="0">16:30 - 17:0 0</strong></span></td>\n<td><span data-path-to-node="4\,5\,1\,0">Qite Yang </span></td>\n<td><span data-path-to-node="4\,5\,2\,0">A Study on Lightwei ght Surrogate Methods in Surrogate-Assisted Evolutionary Algorithms</span> </td>\n</tr>\n<tr>\n<td><span data-path-to-node="4\,6\,0\,0"><strong data- path-to-node="4\,6\,0\,0" data-index-in-node="0">17:00 - 17:30</strong></s pan></td>\n<td>Junlan Dong</td>\n<td><span data-path-to-node="4\,6\,2\,0"> Advances in Implicit Symbolic Regression</span></td>\n</tr>\n</tbody>\n</t able> END:VEVENT END:VCALENDAR