Genetic Algorithms in Applications

Genetic Algorithms in Applications
Author :
Publisher : BoD – Books on Demand
Total Pages : 332
Release :
ISBN-10 : 9789535104001
ISBN-13 : 9535104004
Rating : 4/5 (004 Downloads)

Book Synopsis Genetic Algorithms in Applications by : Rustem Popa

Download or read book Genetic Algorithms in Applications written by Rustem Popa and published by BoD – Books on Demand. This book was released on 2012-03-21 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.


Genetic Algorithms in Applications Related Books

Genetic Algorithms in Applications
Language: en
Pages: 332
Authors: Rustem Popa
Categories: Computers
Type: BOOK - Published: 2012-03-21 - Publisher: BoD – Books on Demand

DOWNLOAD EBOOK

Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems
The Practical Handbook of Genetic Algorithms
Language: en
Pages: 544
Authors: Lance D. Chambers
Categories: Computers
Type: BOOK - Published: 2000-12-07 - Publisher: CRC Press

DOWNLOAD EBOOK

Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated se
Parallel Genetic Algorithms
Language: en
Pages: 173
Authors: Gabriel Luque
Categories: Computers
Type: BOOK - Published: 2011-06-15 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, searc
Genetic Algorithms + Data Structures = Evolution Programs
Language: en
Pages: 392
Authors: Zbigniew Michalewicz
Categories: Computers
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorith
Classification and Learning Using Genetic Algorithms
Language: en
Pages: 320
Authors: Sanghamitra Bandyopadhyay
Categories: Computers
Type: BOOK - Published: 2007-05-17 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a sea