Genetic Algorithms in Java Basics

1. Auflage 2015
ISBN: 978-1-4842-0329-3
Verlag: Apress

Buch, Englisch, 154 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2701 g

Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions written in the Java programming language. This brief book will guide you step-by-step through various implementations of genetic algorithms and some of their common applications, with the aim to give you a practical understanding allowing you to solve your own unique, individual problems. After reading this book you will be comfortable with the language specific issues and concepts involved with genetic algorithms and you'll have everything you need to start building your own.

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

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Kanber, Burak

Jacobson, Lee

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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.

Über Autor(innen)

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.