ABSTRACT
In this paper we demonstrate that pressure for robustness combined with function sets containing redundant genes can cause an evolutionary system to avoid a more fit solution in favor of a more robust solution. It is also shown that this trend depends significantly on the mutation rate used.
- A. G. M. DeVisser, J. Hermission, G. P. Wagner, L. A. Meyers, H. Bagheri-Chaichain, J. L. Blanchard, L. Chao, J. M. Cheverud, S. F. Elena, W. Fontana, G. Gibson, T. F. Hansen, D. Krakauer, R. C. Lewontin, C. Ofria, S. H. Rice, G. von Dassow, and A. Wagner. Perspective: Evolution and detection of genetic robustness. Evolution, 57:1959--1972, 2003.Google Scholar
Recommendations
Growth of self-canceling code in evolutionary systems
GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computationThis research examines the behavior of inoperative code (introns) in the evolution of genetically robust solutions. Genetically robust solutions are solutions that are less likely to be degraded by genetic operators, such as crossover. Previous work has ...
The effects of recombination on phenotypic exploration and robustness in evolution
Recombination is a commonly used genetic operator in artificial and computational evolutionary systems. It has been empirically shown to be essential for evolutionary processes. However, little has been done to analyze the effects of recombination on ...
Robustness of populations in stochastic environments
GECCO '14: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary ComputationWe consider stochastic versions of OneMax and LeadingOnes and analyze the performance of evolutionary algorithms with and without populations on these problems. It is known that the (1+1) EA on OneMax performs well in the presence of very small noise, ...
Comments