Genetic Algorithms in Java Basics

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Jacobson, Lee (Συγγραφέας), Kanber, Burak (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2015.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Jacobson, Lee.  |e author. 
245 1 0 |a Genetic Algorithms in Java Basics  |h [electronic resource] /  |c by Lee Jacobson, Burak Kanber. 
264 1 |a Berkeley, CA :  |b Apress :  |b Imprint: Apress,  |c 2015. 
300 |a XV, 154 p. 33 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
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505 0 |a 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. 
520 |a 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. 
650 0 |a Computer science. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Kanber, Burak.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781484203293 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4842-0328-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-CWD 
950 |a Professional and Applied Computing (Springer-12059)