Call for Papers

Special Track on
Distributed Learning for Optimization

in the

2002 Congress on Evolutionary Computation (CEC)
held as part of the
2002 IEEE World Congress on Computational Intelligence

Hilton Hawaiian Village Hotel
Honolulu, HI
May 12-17, 2002


Many distributed systems in nature can be viewed as a set of learning agents playing a non-cooperative game. One primary example is where the "learning agents" are the humans comprising an economy. Another example is where the "learning agents" are organisms competing in an ecosystem. Often such systems can be viewed as finding a maximum of some overall optimization function. In this session we intend to adopt this perspective to help us explore the general problem of how to find optima of arbitrary high-dimensional functions by using distributed sets of learning agents.

In particular, we intend to focus on optimization methods that involve techniques like the following:


Submission Guidelines

Note that submissions to this track must be made directly to the special session organizers.

If you are any questions, please contact the special track organizers by email: Kagan Tumer or David Wolpert.

Important Dates

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