| Evolutionary Computation
(EC) and Artificial Intelligence (AI) Seminar Series
The EC/AI seminar series are informal meetings where
participants can present and discuss development and application work of evolutionary
computation and/or artificial intelligence. Topics include genetic
algorithms, genetic programming, swarm theory, ant colony optimiation, neural
networks, fuzzy logic, agent-based systems and expert systems. Most
meetings will be in the format of informal talks, while others may be more
in the format of a paper discussion group or a discussion of a problem of
interest.
The objectives of the seminar series are to:
(1) promote the application of evolutionary
computing and artificial intelligence approaches to problems in all disciplines;
and
(2) provide a forum for people working in or
interested in these areas to exchange ideas.
All faculty, staff, and students who are interested
in EC and AI are encouraged to participate and attend.
Seminar schedule
(Fall 2002)
Bi-weekly meetings are held at the FAMU-FSU College
of Engineering in Room B134.
Time: Fridays 2:30-3:30pm (Refreshments at 2:15pm)
| Date |
Speaker and Topic |
| Sept 13 |
Amy Chan Hilton, Ph.D., Overview of Evolutionary Computation
and Artificial Intelligence |
| Sept 27 |
David Cartes, Ph.D. et al., Intelligent Control Research
in the Power Control Lab |
| Oct 11 |
Omar Beckford, Evolving the GA from the RGA to Enhanced
MRGA |
| Oct 25 |
Yanan Zhao, Ph.D., Genetic Fuzzy Parallel Parking
Control for Autonomous Ground Vehicles |
| Nov 8 |
Jason Isaacs, Ant Colony Simulations: Methods and
Applications |
| Nov 22 |
Majura F. Selekwa, Ph.D., Robotic control in tightly
clustered obstacles |
| Dec 6 |
Wenrui Huang, Ph.D., Prediction of Tidal Currents
in Navigation Channel Using Artificial Neural Networks |
Seminar schedule (Fall 2001)
| Date |
Speaker and Topic |
| Sept 21 |
Amy Chan Hilton, Ph.D., Overview of Genetic Algorithms
and Evolutionary Computation |
| Sept 28 |
Andy Richardson, Placement of sensors/actuators on
civil structures using genetic algorithms |
| Oct 12 |
Ted Wong, Ph.D., Evolutionary process of developing
and applying GAs: what I learned |
| Oct 26 |
Francisco Ortiz, Evaluation of genetic algorithms
for simultaneous optimization of multiple response surfaces |
| Nov 9 |
Joseph Travis, Ph.D., An Evolutionary Ecologist Takes
a Tour of Evolutionary Computations |
| Dec 7 |
Jason Isaacs, Evolvable Pseudo Random Number Generators |
Web sites of interest
Comprehensive sites with numerous links to more
information:
Introduction(Tutorials, Web-based programs, and basic
info):
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