• An Overview of Evolutionary Computation    [GZ]

    William M. Spears, Kenneth A. De Jong, Thomas Back, David B. Fogel and Hugo de Garis

    Evolutionary computation uses computational models of evolutionary processes as key elements in the design and implementation of computer based problem solving systems. In this paper we provide an overview of evolutionary computation, and describe several evolutionary algorithms that are currently of interest. Important similarities and differences are noted.

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  • Una introducción a la Computación Evolutiva    [GZ]

    A. Pérez Serrada

    Especialmente apto para iniciarse en el campo de la Computación Evolutiva. Trata los tipos básicos de Estrategias Evolutivas y los Programas de Evolución. Se profundiza especialmente en Algoritmos Genéticos y sus extensiones.

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  • The Hitch-Hiker’s Guide to Evolutionary Computation    [GZ]

    Jorg Heitkotter and David Beasley

    This guide is intended to help, provide basic information, and serve as a first straw for individuals, i.e. uninitiated hitch-hikers, who are stranded in the mindboggling universe of Evolutionary Computation (EC);

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  • MONOGRAFÍA ESPECIAL Computación Evolutiva    [GZ]

    Enrique Alba, Carlos Cotta and Fco. Herrera

    Se recoge un conjunto de trabajos que presentan tanto estudios en Computación Evolutiva como aplicaciones de Algoritmos Evolutivos a diferentes problemas.

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  • Constraint Satisfaction Problems and Evolutionary Computation    [GZ]

    Jano van Hemert

    In this slides we can see how to use Evolutionary Computation in Constraint Satisfaction Problems.There are some examples of these problems and their results.

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  • Recombination Parameters    [GZ]

    William M. Spears

    There are numerous ways to implement recombination. This paper will focus mainly on recombination operators that construct potentially useful solutions to a problem from smaller components (often called "building blocks").

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  • Speciation Using Tag Bits    [GZ]

    William M. Spears

    This article considers novel methods for evolving species inastandardgenerational evolutionary algorithm. Unlike other methods, these methods replace the concept of distance between individuals with tag bits that identifythe species to which an individual belongs.

    Latex Ref.