BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Africa/Johannesburg
BEGIN:STANDARD
DTSTART:19440319T010000
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:SAST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20200123T045829Z
UID:530828E5-E61F-484E-9CC4-9975CD3BAF95
DTSTART;TZID=Africa/Johannesburg:20190816T130000
DTEND;TZID=Africa/Johannesburg:20190816T135000
DESCRIPTION:Evolutionary algorithms (as well as a number of other metaheuri
 stics) have become a popular choice for solving problems having two or mor
 e (often conflicting) objectives (the so-called multi-objective optimizati
 on problems). This area\, known as EMOO (Evolutionary Multi-Objective Opti
 mization) has had an important growth in the last 15 years\, and several p
 eople (particularly newcomers) get the impression that it is now very diff
 icult to make contributions of sufficient value to justify\, for example\,
  a PhD thesis. However\, a lot of interesting research is still under way.
  In this talk\, we will review some of the research topics on evolutionary
  multi-objective optimization that are currently attracting a lot of inter
 est (e.g.\, handling many objectives\, hybridization\, indicator-based sel
 ection\, use of surrogates\, etc.) and which represent good opportunities 
 for doing research. Some of the challenges currently faced by this discipl
 ine will also be delineated.\n\nSpeaker(s): Carlos Coello Coello\, \n\nRoo
 m: K303\, Bldg: Knowledge Centre\, Engineering\, Stellenbosch University\,
  Banghoek Road\, Stellenbosch\, Western Cape\, South Africa
LOCATION:Room: K303\, Bldg: Knowledge Centre\, Engineering\, Stellenbosch U
 niversity\, Banghoek Road\, Stellenbosch\, Western Cape\, South Africa
ORGANIZER:engel@sun.ac.za
SEQUENCE:2
SUMMARY:Distinguished Lecture: Recent Results and Open Problems in Evolutio
 nary Multiobjective Optimization
URL;VALUE=URI:https://events.vtools.ieee.org/m/202868
X-ALT-DESC:Description: <br /><p>Evolutionary algorithms (as well as a numb
 er of other metaheuristics) have become a popular choice for solving probl
 ems having two or more (often conflicting) objectives (the so-called multi
 -objective optimization problems). This area\, known as EMOO (Evolutionary
  Multi-Objective Optimization) has had an important growth in the last 15 
 years\, and several people (particularly newcomers) get the impression tha
 t it is now very difficult to make contributions of sufficient value to ju
 stify\, for example\, a PhD thesis. However\, a lot of interesting researc
 h is still under way. In this talk\, we will review some of the research t
 opics on evolutionary multi-objective optimization that are currently attr
 acting a lot of interest (e.g.\, handling many objectives\, hybridization\
 , indicator-based selection\, use of surrogates\, etc.) and which represen
 t good opportunities for doing research. Some of the challenges currently 
 faced by this discipline will also be delineated.</p>\n<p>&nbsp\;</p>
END:VEVENT
END:VCALENDAR