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    Associate Professor

    Computer Science, Universidad Autonoma de Madrid, Madrid

    Statistical Distribution of Generation-to-Success in GP: Application to Model Accumulated Success Probability

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    Many different metrics have been defined in Genetic Programming. Depending on the experiment requirements and objectives, a collection of measures are selected in order to achieve an understanding of the algorithm behaviour. One of the most common metrics is the accumulated success probability, which evaluates the probability of an algorithm to achieve a solution in a certain generation. We propose a model of accumulated success probability composed by two parts, a binomial distribution that models the total number of success, and a lognormal approximation to the generation-to-success, that models the variation of the success probability with the generation.

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    Description

    Title : Statistical Distribution of Generation-to-Success in GP: Application to Model Accumulated Success Probability
    Author(s) : David F Barrero, Bonifacio Castaño, Maria D R-Moreno, David Camacho
    Abstract : Many different metrics have been defined in Genetic Programming. Depending on the experiment requirements and objectives, a collection of measures are selected in order to achieve an understanding of the algorithm behaviour. One of the most common metrics is the accumulated success probability, which evaluates the probability of an algorithm to achieve a solution in a certain generation. We propose a model of accumulated success probability composed by two parts, a binomial distribution that models the total number of success, and a lognormal approximation to the generation-to-success, that models the variation of the success probability with the generation.
    Keywords : genetic programming, genetic algorithms

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2011

    Affiliations Computer Science, Universidad Autonoma de Madrid, Madrid
    Editors : Sara Silva, James A Foster, Miguel Nicolau, Mario Giacobini, Penousal Machado
    Conference_title : Proceedings of the 14th European Conference on Genetic Programming EuroGP 2011
    Volume : 6621
    Publisher : Springer Verlag
    Pages : 155-166
    Url : http://api.mendeley.com/research/statistical-distribution-generationtosuccess-gp-application-model-accumulated-success-probability/

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