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Genetic algorithms in Java basics[el...
~
Jacobson, Lee.
Genetic algorithms in Java basics[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
005.133
書名/作者:
Genetic algorithms in Java basics/ by Lee Jacobson, Burak Kanber.
作者:
Jacobson, Lee.
其他作者:
Kanber, Burak.
出版者:
Berkeley, CA : : Apress :, 2015.
面頁冊數:
xv, 154 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Java (Computer program language)
標題:
Computer algorithms.
標題:
Computer Science.
標題:
Artificial Intelligence (incl. Robotics)
ISBN:
9781484203286
ISBN:
9781484203293
摘要、提要註:
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.
電子資源:
http://dx.doi.org/10.1007/978-1-4842-0328-6
Genetic algorithms in Java basics[electronic resource] /
Jacobson, Lee.
Genetic algorithms in Java basics
[electronic resource] /by Lee Jacobson, Burak Kanber. - Berkeley, CA :Apress :2015. - xv, 154 p. :ill., digital ;24 cm.
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.
ISBN: 9781484203286
Standard No.: 10.1007/978-1-4842-0328-6doiSubjects--Topical Terms:
339683
Java (Computer program language)
LC Class. No.: QA76.73.J38
Dewey Class. No.: 005.133
Genetic algorithms in Java basics[electronic resource] /
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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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