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  1. Proceedings of the 9th international conference on Foundations of genetic algorithms (FOGA'07)
  2. Neighborhood graphs and symmetric genetic operators
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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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Neighborhood graphs and symmetric genetic operators

Content Provider ACM Digital Library
Author Wright, Alden H. Rowe, Jonathan E. Vose, Michael D.
Abstract In the case where the search space has a group structure, classical genetic operators (mutation and two-parent crossover) which respect the group action are completely characterized by formulas defining them in terms of the search space and its group operation. This provides a representation-free implementation for those operators, in the sense that the genotypic encoding of search space elements is irrelevant. The implementations are parameterized by distributions which may be chosen arbitrarily, and which are analogous to specifying distributions for mutation and crossover masks.
Starting Page 110
Ending Page 122
Page Count 13
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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