Multidimensional epistasis and the advantage of sex

No abstract is available for this paper.

• Publication year

  2005

• Venue

  IEEE Congress on Evolutionary Computation

• Publication date

  2005-12-12

• Fields of study

  Biology, Mathematics, Computer Science

• Identifiers
  DOI 10.1109/CEC.2005.1555045
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Compositional Evolution - The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution

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  2006influential reference
• PERSPECTIVE:SIGN EPISTASIS AND GENETIC CONSTRAINT ON EVOLUTIONARY TRAJECTORIES

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• A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover

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• The maintenance of sex in parasites

  2003cited by this paper
• Liberating genetic variance through sex.

  2003cited by this paper
• No free lunch.

  2002cited by this paper
• Equilibrium correlations in a model for multidimensional epistasis

  2002cited by this paper
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  2000cited by this paper
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• The Simple Genetic Algorithm and the Walsh Transform: Part II, The Inverse

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  1998cited by this paper
• An Examination of Tunable, Random Search Landscapes

  1998cited by this paper
• Modeling Building-Block Interdependency

  1998cited by this paper
• Testing for epistasis between deleterious mutations.

  1998cited by this paper
• Fourth European Conference on Artificial Life

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  1997cited by this paper
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• Algebraic Theory of Recombination Spaces

  1997cited by this paper
• Population genetic perspectives on the evolution of recombination.

  1996cited by this paper
• Evolutionary Algorithms, Fitness Landscapes and Search

  1995cited by this paper
• A general model for the evolution of recombination.

  1995cited by this paper
• The population genetics of speciation: the evolution of hybrid incompatibilities.

  1995cited by this paper
• SUBSTITUTION PROCESSES IN MOLECULAR EVOLUTION. II. EXCHANGEABLE MODELS FROM POPULATION GENETICS

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• Some Advantages and Disadvantages of Recombination

  1994cited by this paper
• Mutation-Crossover Isomorphisms and the Construction of Discriminating Functions

  1994cited by this paper
• EXCHANGEABLE MODELS FROM POPULATION GENETICS

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  1993cited by this paper
• How Genetic Algorithms Really Work: Mutation and Hillclimbing

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• Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

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• The royal road for genetic algorithms: Fitness landscapes and GA performance

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• The Genetic Algorithm and the Structure of the Fitness Landscape

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• Biases in the Crossover Landscape

  1989cited by this paper
• Genetic Algorithms in Search

  1989cited by this paper
• Deleterious mutations and the evolution of sexual reproduction

  1988cited by this paper
• Genetic Algorithms in Search Optimization and Machine Learning

  1988cited by this paper
• Selection against harmful mutations in large sexual and asexual populations.

  1982cited by this paper
• An introduction to population genetics theory

  1971cited by this paper
• The effect of linkage on limits to artificial selection.

  1966cited by this paper
• Population Genetics

  1956cited by this paper
• The Genetical Theory of Natural Selection

  1930cited by this paper
• How Genetic Algorithms Really Work I.mutation and Hillclimbing

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