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  1. Proceedings of the 9th international conference on Foundations of genetic algorithms (FOGA'07)
  2. Just what are building blocks?
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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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Just what are building blocks?

Content Provider ACM Digital Library
Author Cervantes, Jorge Stephens, Christopher R.
Abstract Using an exact coarse-grained formulation of the dynamics of a GA we investigate in the context of a tunable family of "modular" fitness landscapes under what circumstances one would expect recombination to be "useful". We show that this depends not only on the fitness landscape and the state of the population but also on the particular crossover mask under consideration. We conclude that rather than ask when recombination is useful or not one needs to ask - what crossover masks are useful. We show that the answer to this is when the natural "building blocks" of the landscape are compatible with the "building blocks" defined by the crossover mask.
Starting Page 15
Ending Page 34
Page Count 20
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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