Seminar Announcement
These events are organized by various sub-sets of the IEEE Toronto Section.
The contact person listed below is the volunteer who has arranged this event.
Please use the e-mail link provided if you have any questions, suggestions,
or concerns.
| Title
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Representation in Evolutionary Computation
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| Speaker
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Prof. Daniel Ashlock
Department of Mathematics and Statistic
University of Guelph, Canada
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| Day and Time
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Wednesday, October 27, 2010, 6:00 p.m. – 7:30 p.m. EDT (or GMT-5)
For all other locations, please, check the actual time in your time zone. If you are not sure, you can use this Time Zone Converter
Please, login at least 15 minutes earlier to check your connection and make sure that you are ready to attend the talk when it begins |
| Location
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Online Webinar (see registration below)
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| Webinar
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Registration is free but it is required..
After registering you will receive a confirmation email containing information about joining the Webinar.
System Requirements:
PC-based attendees
Required: Windows 2000, XP Home, XP Pro, 2003 Server, Vista
Macintosh -based attendees
Required: Mac OS X 10.4 (Tiger ) or newer
|
| Registration |
Space is limited. Reserve your Webinar seat now at:
https://www2.gotomeeting.com/register/724627379
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| Organizer
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| Contact
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Anna T. Lawniczak. E-mail:
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| Abstract |
Evolutionary computation has become a family of mature problem-solving
techniques in the past decade. Correctly tuning the variation
operators that drive search within an evolutionary algorithm is
becoming a science and early enthusiasm is transforming into a mature
understanding of the benefits and limits of evolutionary techniques.
Of the design parameters for these algorithms, representation is
perhaps the most powerful and least explored. This talk will
introduce the issue of representation, demonstrate that can have an
incredible impact on performance, and catalog a number of
representations. A technique for classifying both evolutionary
computation problems and representation will be outlined.
| | Biography |
Daniel Ashlock is a Professor of Mathematics at the University of
Guelph. A Senior Member of the IEEE, he serves as an associate editor
for the IEEE Transactions on Evolutionary Computation, the IEEE
Transactions on Computational Intelligence and AI in Games, The
ACM/IEEE Transactions on Computational Biology and Bioinformatics, and
Biosystems. Dr. Ashlock has over 170 peer reviewed scientific
publications in evolutionary computation, bioinformatics, and pure
mathematics. The core of his research is in representation and its
application to both theory and the solution of applied problems. He
has twice chaired the IEEE Symposium on Computational Intelligence in
Bioinformatics and Computational Biology and has been on the
organizing committee of many international conference including the
IEEE Congress on Evolutionary Computation, the IEEE World Congress on
Computational Intelligence, and the IEEE Symposium Series on
Computational Intelligence.
http://eldar.mathstat.uoguelph.ca/dashlock/
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