Synapsing Variable-Length Crossover: Meaningful Crossover for Variable-Length Genomes

  title={Synapsing Variable-Length Crossover: Meaningful Crossover for Variable-Length Genomes},
  author={Benjamin Hutt and Kevin Warwick},
  journal={IEEE Transactions on Evolutionary Computation},
The synapsing variable-length crossover (SVLC) algorithm provides a biologically inspired method for performing meaningful crossover between variable-length genomes. In addition to providing a rationale for variable-length crossover, it also provides a genotypic similarity metric for variable-length genomes, enabling standard niche formation techniques to be used with variable-length genomes. Unlike other variable-length crossover techniques which consider genomes to be rigid inflexible arrays… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 25 references


I. Harvey
Männer and B. Manderick, Eds., “The SAGA cross: The mechanics of crossover for variable-length genetic algorithms,” Parallel Problem Solving from Nature, vol. 2, pp. 269–278 • 1992
View 4 Excerpts
Highly Influenced


I. Harvey
Varela and P. Bourgine, Eds., “Species adaptation genetic algorithms: A basis for a continuing SAGA,” in Proc. 1st Eur. Conf. Artif. Life • 1992
View 3 Excerpts
Highly Influenced

Evolutionary Search for Faces from Line Drawings

IEEE Trans. Pattern Anal. Mach. Intell. • 2005
View 1 Excerpt

The Evolution of the Genome

T. Ryan Gregory
New York: Academic • 2005
View 1 Excerpt

and I

B. Hutt, K. Warwick
Goodhew, “Emergent behaviour in autonomous robots,” in In Design and Information in Biology: From Molecules to Systems, ser. International Series on Design and Nature. Southampton, U.K.: WIT Press • 2005
View 1 Excerpt

The SAGA cross : The mechanics of crossover for variable - length genetic algorithms

R. Männer I. Harvey, B. Manderick
Par - allel Problem Solving from Nature • 2000

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