Department of Biology
Tuesday, April 7, 2009
Genetic algorithms and other evolution-based simulations that require intensive computations are finding applications in a variety of areas, thanks to the enormous increases in speed and memory of computers. These algorithms can provide useful solutions to problems which have large search spaces and where the properties of the search space are unknown. Dr. Richard Hoppe will discuss genetic algorithms in general and describe an application that his company uses in modeling systems of financial markets.
Evolutionary algorithms are also useful in evolutionary biology, where they are used to model evolving populations and test hypotheses about evolution. Dr. Hoppe will show one such simulator and discuss a bit of the research that's been done using it.
Here is an audio recording of this science cafe in mp3 format.