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.
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.
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);
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.
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.
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").
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.