* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science* Most significant update to the second edition is the MATLAB codes that accompany the text* Provides a thorough discussion of hybrid genetic algorithms* Fea
Practical Genetic Algorithms
โ Scribed by Randy L. Haupt, Sue Ellen Haupt
- Publisher
- John Wiley
- Year
- 2004
- Tongue
- English
- Leaves
- 261
- Edition
- 2nd ed
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Based on the literature I have explored, I can unequivocally say that this is the best book that I have found on GA theory and programming. In a simple but effective manner, the book explains the intricate concepts. For any one thinking of learning GA theory this is a good starting point. Also, if you want to write programs to create your own genetic algorithms, this is a must-read.In my humble opinion, this is 'THE BEST' book particularly for those without much GA experience.I hereby express my heartfelt gratitude to the authors and congratulate them on their effort.
๐ SIMILAR VOLUMES
* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science<br>* Most significant update to the second edition is the MATLAB codes that accompany the text<br>* Provides a thorough discussion of hybrid genetic algorit
The use of genetic algorithms (GAs) to solve large and often complex computational problems has given rise to many new applications in a variety of disciplines. Practical Genetic Algorithms was the first introductory-level book on genetic algorithms to emphasize practical applications rather than th
* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algor
* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algor