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Plenary Speaker

 

What’s Up with Co‐evolutionary Algorithms?

Kenneth A. De Jong
Professor of Computer Science

George Mason University
Fairfax, Virginia, USA
 


Abstract:

Interest in co‐evolutionary algorithms was triggered in part with Hillis’ 1990 paper describing his success in using one to evolve sorting networks. Since then there have been heightened expectations for using this nature‐inspired technique to improve on the range and power of evolutionary algorithms for solving difficult computation problems. However, after more than two decades of exploring this promise, the results have been somewhat mixed.

In this talk I summarize the progress made and the lessons learned with a goal of understanding how they are best used and identify a variety of interesting open issues that need to be explored in order to make further progress in this area.

 

Biography:

Kenneth A. De Jong received his Ph.D. in computer science from the University of Michigan in 1975. He joined George Mason University in 1984 and is currently a Professor of Computer Science, head of the Evolutionary Computation Laboratory, and Associate Director of the Krasnow Institute. His research interests include genetic algorithms, evolutionary computation, machine learning, and adaptive systems. He is currently involved in research projects involving the development of new evolutionary algorithm (EA) theory, the use of EAs as heuristics for NP-hard problems, and the application of EAs to the problem of learning task programs in domains such as robotics, navigation and game playing. Support for these projects is provided by DARPA, ONR, NSF and NRL. He is an active member of the Evolutionary Computation research community and has been involved in organizing many of the workshops and conferences in this area. He is the founding editor-in-chief of the journal Evolutionary Computation (MIT Press), and a member of the board of ACM SIGEVO. He is the recipient of an IEEE Pioneer award in the field of Evolutionary Computation and a lifetime achievement award from the Evolutionary Programming Society.

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