國立虎尾科技大學 |

Genetic Algorithms in Java Basics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Genetic Algorithms in Java Basics/ by Lee Jacobson, Burak Kanber.
Author:	Jacobson, Lee.
other author:	Kanber, Burak.
Description:	XV, 154 p. 33 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Programming languages (Electronic computers). -
Online resource:	https://doi.org/10.1007/978-1-4842-0328-6
ISBN:	9781484203286

Genetic Algorithms in Java Basics
Jacobson, Lee.

Genetic Algorithms in Java Basics[electronic resource] /by Lee Jacobson, Burak Kanber. - 1st ed. 2015. - XV, 154 p. 33 illus.online resource.

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.

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:

1127615
Programming languages (Electronic computers).

LC Class. No.: QA76.7-76.73

Dewey Class. No.: 005.13

Genetic Algorithms in Java Basics
LDR:02916nam a22004095i 4500 001 960547
003 DE-He213
005 20200704161228.0
007 cr nn 008mamaa
008 201211s2015 xxu| s |||| 0|eng d
020 $a 9781484203286 $9 978-1-4842-0328-6
024 7 $a 10.1007/978-1-4842-0328-6 $2 doi
035 $a 978-1-4842-0328-6
050 4 $a QA76.7-76.73
050 4 $a QA76.76.C65
072 7 $a UMX $2 bicssc
072 7 $a COM051010 $2 bisacsh
072 7 $a UMX $2 thema
072 7 $a UMC $2 thema
082 0 4 $a 005.13 $2 23
100 1 $a Jacobson, Lee. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1070171
245 1 0 $a Genetic Algorithms in Java Basics $h [electronic resource] / $c by Lee Jacobson, Burak Kanber.
250 $a 1st ed. 2015.
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
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 Programming languages (Electronic computers). $3 1127615
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Kanber, Burak. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1070172
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484203293
776 0 8 $i Printed edition: $z 9781484203309
856 4 0 $u https://doi.org/10.1007/978-1-4842-0328-6
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)