Created by W.Langdon from gp-bibliography.bib Revision:1.8028
Proceedings of the Workshop on Artificial Intelligence and Simulation of Behaviour Workshop on Evolutionary Computing. Workshop in Leeds, UK, April 11-13, 1994 stack machine GP tried it out the results seemed intresting but harder to intepret discusses some work we did using stack and conventional gp.
Uses stack based and conventional GP to fit formulae to describe geographic distance-to-work travel data. cf earlier attempts to do the same using bit string GA. Both GP approaches more successful than simple theoretical model and ``compare well'' with more complex models. Constants agumented by parameters which are optimised outside the GP by nonlinear parameter estimation, high CPU cost but easier for GP. Suggests work needed on good ways to validate GP software.
vector (parallel) processor
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Genetic Programming entries for Stanley Openshaw Ian Turton