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Thursday 13 Oct 2011CS seminar - Doing More with Less: Improving the Performance of Genetic Programming

Colin Johnson - University of Kent

Harrison 203 15:00-16:00

Genetic Programming (GP) is a powerful technology for the automatic

creation of computer programs and other forms of executable structures

(circuits, algorithms, protocols). GP consists of the application of

biologically-inspired search techniques, such as genetic algorithms, to

the search space of computer programs. In this talk I would like to talk

about three ways in which we can improve the performance of GP:



(1) Treating each individual as a source of multiple programs.

(2) Preventing crossover between parents that produce children that

are semantically identical to the parent.

(3) Doing multiple runs of GP where each run builds on the successes

of the previous one.



Biography: Dr Colin Johnson is a Senior Lecturer in the School of Computing at the

University of Kent in Canterbury. His research interests include

bio-inspired computing and computational methods in medicine and

biology. He is also active in popularising science for the general

public, regularly giving talks about science and running a science and

technology discussion group in Canterbury.

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