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PRODID:IEEE vTools.Events//EN
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BEGIN:DAYLIGHT
DTSTART:20240310T030000
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DTSTART:20231105T010000
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BEGIN:VEVENT
DTSTAMP:20240316T002324Z
UID:55904C99-2F31-4C21-AB90-48F157783860
DTSTART;TZID=America/Chicago:20240306T180000
DTEND;TZID=America/Chicago:20240306T190000
DESCRIPTION:The first multi-objective evolutionary algorithm was published 
 in 1985. However\, it was not until the late 1990s that so-called evolutio
 nary multi-objective optimization began to gain popularity as a research a
 rea. Throughout these 39 years\, there have been several important advance
 s in the area\, including the development of different families of algorit
 hms\, test problems\, performance indicators\, hybrid methods\, and real-w
 orld applications\, among many others. In the first part of this talk\, we
  will take a quick look at some of these developments\, focusing mainly on
 \nsome of the most important recent achievements. In the second part of th
 e talk\, a critical analysis will be made of the analogy research that has
 \nproliferated in recent years in specialized journals and conferences (pe
 rhaps as a side effect of the abundance of publications in this area). Muc
 h of\nthis research has a very low level of innovation and almost no scien
 tific input\, but is backed by a large number of statistical tables and an
 alyses. In the third and final part of the talk\, some of the future resea
 rch challenges for this area\, which\, after 39 years of existence\, is ju
 st beginning to mature\, will be briefly mentioned.\n\nSpeaker(s): Dr. Car
 los Artemio Coello Coello\, \n\nVirtual: https://events.vtools.ieee.org/m/
 409717
LOCATION:Virtual: https://events.vtools.ieee.org/m/409717
ORGANIZER:rodrigue.rizk@ieee.org
SEQUENCE:2
SUMMARY:Where is the research on evolutionary multi-objective optimization 
 heading to?
URL;VALUE=URI:https://events.vtools.ieee.org/m/409717
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The first multi-objective evolutionary alg
 orithm was published in 1985. However\, it was not until the late 1990s th
 at so-called evolutionary multi-objective optimization began to gain popul
 arity as a research area. Throughout these 39 years\, there have been seve
 ral important advances in the area\, including the development of differen
 t families of algorithms\, test problems\, performance indicators\, hybrid
  methods\, and real-world applications\, among many others. In the first p
 art of this talk\, we will take a quick look at some of these developments
 \, focusing mainly on&lt;br&gt;some of the most important recent achievements. I
 n the second part of the talk\, a critical analysis will be made of the an
 alogy research that has&lt;br&gt;proliferated in recent years in specialized jou
 rnals and conferences (perhaps as a side effect of the abundance of public
 ations in this area). Much of&lt;br&gt;this research has a very low level of inn
 ovation and almost no scientific input\, but is backed by a large number o
 f statistical tables and analyses. In the third and final part of the talk
 \, some of the future research challenges for this area\, which\, after 39
  years of existence\, is just beginning to&amp;nbsp\;mature\, will be briefly 
 mentioned.&lt;/p&gt;
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