Universidad del Quindío catalog › Details for: Genetic algorithms in search optimization, and machine learning/ Goldberg, David E.

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Genetic algorithms in search optimization, and machine learning/ David E. Goldberg

Material type: Text

TextLanguage: English Publisher: Boston : Addison-Wesley 1989Description: 412 páginasISBN: 0201157675Subject(s): algoritmos

DDC classification: 005.1

Contents:

A gentle introduction to genetic algorithms 2.Genetic algorithms revisited: mathematical foundations 3.Computer implementation of a genetic algorithm 4.Some applications of genetic algorithms 5.Advanced operators and techniques in genetic search 6.Introduction genetic-based machine learning 7.Applications of genetic-based machine learning 8.A look back, a glance ahead

Action note: Verificado 25-06-2021

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Item type	Current location	Collection	Call number	Copy number	Status	Date due	Barcode
Libros/ General	Biblioteca Central Euclides Jaramillo Arango GENERAL	Papel	005.1 G618 (Browse shelf)	Ej. 1	Deterioro Físico		039035

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Previous	005.1 G243 Reversing Ingeniería inversa: Teoría y aplicación /	005.1 G516 Proyecto de investigación. Red Latinoamerícana de Investigación Aplicada en Ingeniería del Software Experimental : Giraldo Velásquez, Fáber Danilo Men-Colciencias - Renata - Cintel . Codigo IF-007-09/	005.1 G516 Proyecto de investigación. Red Latinoamerícana de Investigación Aplicada en Ingeniería del Software Experimental : Giraldo Velásquez, Fáber Danilo Men-Colciencias - Renata - Cintel . Codigo IF-007-09/	005.1 G618 Genetic algorithms in search optimization, and machine learning/ Goldberg, David E.	005.1 H868 Pruebas de percepción : Visual, auditiva y de wisconsin: Hoyos Salcedo, Efraín Alberto Documentación técnica del software/	005.1 H868 Pruebas de percepción : Visual, auditiva y de wisconsin: Hoyos Salcedo, Efraín Alberto Documentación técnica del software/	005.1 H926 Introducción al proceso sotfware personal/ Humphrey, Watts S.	Next

Verificado 25-06-2021

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Genetic algorithms in search optimization, and machine learning/ David E. Goldberg

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