Created by W.Langdon from gp-bibliography.bib Revision:1.8081
The use of noise appears to discourage brittle solutions. Because those opportunistic solutions are easier to evolve, discouraging them makes the problem harder. In this sense, adding noise has an effect similar to increasing the number of fitness trials in the deterministic (non-noisy) case. It is possible to over-fit a finite deterministic training set Appropriate use of noise should discourage over-fitting.
The side-effect of adding noise to the fitness test is that it inevitably produces noise in the fitness value determined for an individual. Fitness testing becomes stochastic and repeated fitness tests of identical programs yield differing results. This fitness noise and the associated variance in fitness values serves to mask the true fitness of an individual. When the variance due to noise is comparable to the variance due to genotype, the progress of evolution is markedly slowed.",
Without noise evolved controllers brittle. THESE EXPERIMENTS HAVE NOT YET PRODUCED A ROBUST CONTROLLER
Part of \cite{kinnear:book}",
Genetic Programming entries for Craig W Reynolds