Genetic Algorithms: key concepts and examples | A brief tutorial on Genetic Algorithms

Marcos Gestal (u. a.)

ISBN 10: 3843370826 / ISBN 13: 9783843370820

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Genetic Algorithms: key concepts and examples | A brief tutorial on Genetic Algorithms | Marcos Gestal (u. a.) | Taschenbuch | 60 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843370820 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 107221600

Bibliographic Details

• Title: Genetic Algorithms: key concepts and examples | A brief tutorial on Genetic Algorithms
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3843370826
• ISBN 13: 9783843370820
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 107 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Evolutionary computation can be viewed as a set of techniques conceptually inspired by biological processes. Among that techniques, one of the most used are genetic algorithms. They follow the Darwin Law's to find the solution of a problem. The overall objective of this book is to provide a "roadmap" with which to find the way toward finding computational solutions to various problems. To this end, a general introduction is presented of the methods and techniques associated with genetic algorithms. In this context, this book ought not be viewed as an exhaustive or comprehensive analysis of the techniques presented herein. Instead, it should be considered as a reference that introduces the terminology, key concepts, and basic bibliography that can serve as a starting point such that the reader will be better equipped to subsequently pursue more deeply those topics that may be of special interest. In particular, this book is designed for those people who are interested in new approaches to problem solving as well for researchers who hope to initiate research directions along the lines of evolutionary computing or closely connected areas.

About the Author

M. Gestal and D. Rivero are PhD in Computer Science and associate professors at the University of A Coruña. A. Pazos, Full Professor at the same University, is PhD in Medicine and PhD in Computer Science. They work with Evolutionary Computation techniques in general and with GGAA in particular.