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Control of Diversity and Variation Step Size

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Linear Genetic Programming

Part of the book series: Genetic and Evolutionary Computation ((GEVO))

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Abstract

In this chapter we will investigate structural and semantic distance metrics for linear genetic programs. A causal connection between changes of genotypes and of phenotypes form a necessary condition for being able to control differences between genetic programs. The two objectives of this chapter are to show [1] how distance information between individuals can be used to control structural diversity of individuals and [2] how variation distance on effective code can be controlled probabilistically with different linear genetic operators.

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© 2007 Springer Science+Business Media, LLC

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(2007). Control of Diversity and Variation Step Size. In: Linear Genetic Programming. Genetic and Evolutionary Computation. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31030-5_9

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  • DOI: https://doi.org/10.1007/978-0-387-31030-5_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-31029-9

  • Online ISBN: 978-0-387-31030-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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