Genetic Algorithms in Java Basics
Apress (Verlag)
978-1-4842-0329-3 (ISBN)
Genetic algorithms are frequently used to solve highly complex real world problems and with this book you too can harness their problem solving capabilities. Understanding how to utilize and implement genetic algorithms is an essential tool in any respected software developers toolkit. So step into this intriguing topic and learn how you too can improve your software with genetic algorithms, and see real Java code at work which you can develop further for your own projects and research.
Guides you through the theory behind genetic algorithms
Explains how genetic algorithms can be used for software developers trying to solve a range of problems
Provides a step-by-step guide to implementing genetic algorithms in Java
Lee Jacobson is a professional freelance software developer from Bristol, England who first began writing code at the age of 15 while trying to write his own games. His interest soon transitioned to software development and computer science which led him to the field of artificial intelligence. He found a passion for the subject after studying Genetic Algorithms and other optimization techniques at university. He would often enjoy spending his evenings learning about optimization algorithms such as genetic algorithms and how he could use them to solve various problems.
1. Introduction to Genetic Algorithms.-
2. Implementing A Genetic Algorithm in Java.-
3. Evolving Robot Controls with GA.-
4. The Traveling Salesman Problem.-
5. Scheduling Problems with GA.-
6. Optimization Strategies with GA.
Zusatzinfo | 33 Illustrations, black and white; XV, 154 p. 33 illus. |
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Verlagsort | Berkley |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Literatur ► Märchen / Sagen |
Informatik ► Programmiersprachen / -werkzeuge ► Java | |
Informatik ► Theorie / Studium ► Algorithmen | |
Informatik ► Theorie / Studium ► Compilerbau | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
ISBN-10 | 1-4842-0329-1 / 1484203291 |
ISBN-13 | 978-1-4842-0329-3 / 9781484203293 |
Zustand | Neuware |
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