Back to results
Bibliographic record · Consultation and access
Artículo

Genetic algorithms in search, optimization, and machine learning

Choice Reviews Online · 1989

Resource page
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Open the content from the main option or choose another available source.

OpenAlex OpenAlex Works
Entrar por OpenAlex
Main access

Resource page

Resource reference page. Full text availability has not been automatically confirmed.
Open resource

Summary

Descripción general del contenido del recurso.

From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields. Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Online, C. R. (1989). Genetic algorithms in search, optimization, and machine learning. https://doi.org/10.5860/choice.27-0936

MLA

Online, Choice Reviews. "Genetic algorithms in search, optimization, and machine learning." 1989. https://doi.org/10.5860/choice.27-0936.

Chicago

Online, Choice Reviews. 1989. "Genetic algorithms in search, optimization, and machine learning.". https://doi.org/10.5860/choice.27-0936.

Harvard

Online, C. R. 1989, Genetic algorithms in search, optimization, and machine learning, Choice Reviews Online, available at: https://doi.org/10.5860/choice.27-0936 [Accessed 7 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
Genetic algorithms in search, optimization, and machine learning
Author / contributors
Choice Reviews Online
Publisher
Choice Reviews Online
Publication year
1989
Language
English

Subjects

Explore related resources through these subjects.

Copied