Applied Evolutionary Algorithms in Java

✍ Scribed by Robert Ghanea-Hercock (auth.)

• Publisher: Springer-Verlag New York
• Year: 2003
• Tongue: English
• Leaves: 231
• Edition: 1
• Category: Library

✦ Synopsis

Genetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolution-based methods. Applied Evolutionary Algorithms in JAVA offers a practical, hands-on guide to applying such algorithms to engineering and scientific problems. The concepts are illustrated through clear examples, ranging from simple to more complex problems domains; all based on real-world industrial problems. Examples are taken from image processing, fuzzy-logic control systems, mobile robots, and telecommunication network optimization problems. The JAVA-based toolkit provides an easy-to-use and essential visual interface, with integrated graphing and analysis tools. Topics and features: inclusion of a complete JAVA toolkit for exploring evolutionary algorithms; strong use of visualization techniques, to increase understanding; coverage of all major evolutionary algorithms in common usage; broad range of industrially based example applications; includes examples and an appendix based on fuzzy logic.

✦ Table of Contents

Front Matter....Pages i-xiii
Introduction to Evolutionary Computing....Pages 1-18
Principles of Natural Evolution....Pages 19-26
Genetic Algorithms....Pages 27-46
Genetic Programming....Pages 47-56
Engineering Examples Using Genetic Algorithms....Pages 57-100
Future Directions in Evolutionary Computing....Pages 101-114
The Future of Evolutionary Computing....Pages 115-119
Back Matter....Pages 121-219

✦ Subjects

Artificial Intelligence (incl. Robotics); Algorithm Analysis and Problem Complexity; Computing Methodologies