BS Publications
 
 
 
 
 
Browse By Subject

Engineering & Technology
Electronics & Communication Engineering
Instrumentation Engineering
Electrical & Electronics Engineering
Computer Science & Engineering / Information Technology
Mechanical Engineering / Metallurgy
Civil Engineering
Biotechnology / Chemical Engineering
Environmental Science
Chemistry
Physics
Aeronautical Engineering
Mathematics

Management Science
Management Science / Skills
Humanities
Economics

Pharmaceutical Sciences
Allied Sciences
Pharmacy
Pharmaceutical Chemistry
Pharmaceutics
Pharmaceutical Analysis
Pharmacogoncy
Pharmacology
Regulatory Affairs
Pharmacy Competitive
Pharma Practices
Biochemistry Practical
Biotechnology
Biochemistry
Pathophysiology
Bioinformatics
Competitive Exams
General
Pharmaceutical Microbiology
Pharmaceutics Practical
Pharmaceutical Analysis Practical

Earth & Environmental Science
Earth / Geology / Meteorology / Remote Sensing & GIS
Environmental Science / Environmental Management

Agriculture & Life Sciences
Agriculture / Botany
Biotechnology / Bioinformatics
Life Science / Forestry
Life Science / Medical Science

Education-Main
Education

Library Science-Main
Library Science

Competitive Exams Main
Introduction to Genetic Algorithms
Author(s) :S. N. Sivanandam, S. N. Deepa

ISBN : 9788132211051
Name : Introduction to Genetic Algorithms
Price : 1195.00
Author/s : S. N. Sivanandam, S. N. Deepa
Type : Text Book
Pages : 442
Year of Publication : Rpt.2013
Publisher : Springer/BSP Books
Binding : Paperback

About the Book

Genetic Algorithms are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. The basic concept of Genetic Algorithms is designed to simulate processes in natural system necessary for evolution, specifically those that follow the principles first laid down by Charles Darwin of survival of the fittest. This book is designed to provide an in-depth knowledge on the basic operational features and characteristics of Genetic Algorithms. The various operators and techniques given in the book are pertinent to carry out Genetic Algorithm Research Projects. The book also explores the different types are Genetic Algorithms available with their importance. Implementation of Genetic Algorithm concept has been performed using the universal language C/C++ and the discussion also extends to Genetic Algorithm MATLAB Toolbox. Few Genetic Algorithm problems are programmed using MATLAB and the simulated results are given for the ready reference of the reader. The applications of Genetic Algorithms in Machine learning, Mechanical Engineering, Electrical Engineering, Civil Engineering, Data Mining, Image Processing, and VLSI are dealt to make the readers understand where the concept can be applied.

Contents

1. Evolutionary Computation, 2. Genetic Algorithms, 3. Terminologies and Operators of GA, 4. Advanced Operators and Techniques in Genetic Algorithm, 5. Classification of Genetic Algorithm, 6. Genetic Programming, 7. Genetic Algorithm Optimization Problems, 8. Genetic Algorithm Implementation Using Matlab, 9. Genetic Algorithm Optimization in C/C++, 10. Applications of Genetic Algorithms, 11. Introduction to Particle Swarm Optimization and Ant Colony Optimization
   « Back
 
 
Search:
OR
OR
OR
   
 
 
Invitation to Author
Engineering
Section Catalogs (pdf)
Pharmacy
Section Catalogs (pdf)
Price List (Excel/Pdf)
Updated January 2014
Book Flyers
Visit to our other sites
www.ijpsnonline.com
Latest issue-volume 7 issue 3

Subscription Details
.....................................
www.ijdddonline.com
Latest issue-volume 5 Issue 2
Subscription Details

 
 
  2014, BS Publications. Website design by BS PUBLICATIONS, Best viewed in 1024x768.