Genetic algorithms in Java basics / Lee Jacobson, Burak Kanber.
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 co...
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| Online Access: |
Full Text (via O'Reilly/Safari) |
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| Main Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Apress,
[2015]
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| Series: | Expert's voice in Java.
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| Subjects: |
| Summary: | 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. |
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| Item Description: | Includes index. |
| Physical Description: | 1 online resource : illustrations |
| ISBN: | 9781484203286 1484203283 |