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  1. Proceedings of the 9th international conference on Foundations of genetic algorithms (FOGA'07)
  2. On the effects of bit-wise neutrality on fitness distance correlation, phenotypic mutation rates and problem hardness
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Inbreeding properties of geometric crossover and non-geometric recombinations
Just what are building blocks?
Sufficient conditions for coarse-graining evolutionary dynamics
On the brittleness of evolutionary algorithms
Mutative self-adaptation on the sharp and parabolic ridge
Genericity of the fixed point set for the infinite population genetic algorithm
Neighborhood graphs and symmetric genetic operators
Decomposition of fitness functions in random heuristic search
On the effects of bit-wise neutrality on fitness distance correlation, phenotypic mutation rates and problem hardness
Continuous optimisation theory made easy? finite-element models of evolutionary strategies, genetic algorithms and particle swarm optimizers
Saddles and barrier in landscapes of generalized search operators

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On the effects of bit-wise neutrality on fitness distance correlation, phenotypic mutation rates and problem hardness

Content Provider ACM Digital Library
Author Poli, Riccardo Galván-López, Edgar
Abstract The effects of neutrality on evolutionary search are not fully understood. In this paper we make an effort to shed some light on how and why bit-wise neutrality - an important form of neutrality induced by a genotype-phenotype map where each phenotypic bit is obtained by transforming a group of genotypic bits via an encoding function - influences the behaviour of a mutation-based GA on functions of unitation. To do so we study how the fitness distance correlation (fdc) of landscapes changes under the effect of different (neutral) encodings. We also study how phenotypic mutation rates change as a function of the genotypic mutation rate for different encodings. This allows us to formulate simple explanations for why the behaviour of a GA changes so radically with different types of neutrality and mutation rates. Finally, we corroborate these conjectures with extensive empirical experimentation.
Starting Page 138
Ending Page 164
Page Count 27
ISBN 9783540734796
ISSN 03029743
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-01-08
Publisher Place Berlin, Heidelberg
Access Restriction Subscribed
Content Type Text
Resource Type Article
Subject Theoretical Computer Science Computer Science
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