Cargando…

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Jacobson, Lee (Autor), Kanber, Burak (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Apress, [2015]
Colección:Expert's voice in Java.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

LEADER 00000cam a2200000Ii 4500
001 OR_ocn930703323
003 OCoLC
005 20231017213018.0
006 m o d
007 cr cnu|||unuuu
008 151201s2015 nyua o 001 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d IDEBK  |d YDXCP  |d N$T  |d EBLCP  |d NUI  |d CDX  |d COO  |d UMI  |d DEBSZ  |d GW5XE  |d OCLCF  |d OCLCQ  |d B24X7  |d D6H  |d IAO  |d IAS  |d IAD  |d JBG  |d ICN  |d SOI  |d ILO  |d DEBBG  |d Z5A  |d LIV  |d OCLCQ  |d MERUC  |d ESU  |d VT2  |d OCLCQ  |d IOG  |d U3W  |d REB  |d CEF  |d OCLCQ  |d AU@  |d OCLCQ  |d WYU  |d UKMGB  |d UAB  |d UKAHL  |d OCLCQ  |d DCT  |d ERF  |d RDF  |d OCLCQ  |d LQU  |d OCLCQ  |d BRF  |d OCLCO  |d OCLCQ  |d AUD  |d OCLCQ  |d OCLCO 
015 |a GBB8M4340  |2 bnb 
016 7 |a 019139820  |2 Uk 
019 |a 931593439  |a 932333966  |a 934650388  |a 966374387  |a 1005771643  |a 1021261339  |a 1066563950  |a 1086557722  |a 1111015075  |a 1112603888  |a 1129374452  |a 1136679555  |a 1152982396  |a 1162757661  |a 1192345865  |a 1204000832  |a 1240520870 
020 |a 9781484203286  |q (electronic bk.) 
020 |a 1484203283  |q (electronic bk.) 
020 |z 9781484203293  |q (print) 
020 |z 1484203291  |q (print) 
024 7 |a 10.1007/978-1-4842-0328-6  |2 doi 
024 8 |a 10.1007/978-1-4842-0 
029 1 |a AU@  |b 000057011362 
029 1 |a DEBBG  |b BV043627226 
029 1 |a DEBBG  |b BV043968589 
029 1 |a DEBSZ  |b 453697232 
029 1 |a DEBSZ  |b 485790920 
029 1 |a GBVCP  |b 882750801 
029 1 |a NZ1  |b 16246692 
029 1 |a UKMGB  |b 019139820 
029 1 |a AU@  |b 000068980206 
035 |a (OCoLC)930703323  |z (OCoLC)931593439  |z (OCoLC)932333966  |z (OCoLC)934650388  |z (OCoLC)966374387  |z (OCoLC)1005771643  |z (OCoLC)1021261339  |z (OCoLC)1066563950  |z (OCoLC)1086557722  |z (OCoLC)1111015075  |z (OCoLC)1112603888  |z (OCoLC)1129374452  |z (OCoLC)1136679555  |z (OCoLC)1152982396  |z (OCoLC)1162757661  |z (OCoLC)1192345865  |z (OCoLC)1204000832  |z (OCoLC)1240520870 
037 |a CL0500000701  |b Safari Books Online 
050 4 |a QA76.73.J38 
072 7 |a COM  |x 051280  |2 bisacsh 
072 7 |a UYQ  |2 bicssc 
072 7 |a TJFM1  |2 bicssc 
082 0 4 |a 005.13/3  |2 23 
049 |a UAMI 
100 1 |a Jacobson, Lee,  |e author. 
245 1 0 |a Genetic algorithms in Java basics /  |c Lee Jacobson, Burak Kanber. 
264 1 |a New York, NY :  |b Apress,  |c [2015] 
264 4 |c ©2015 
300 |a 1 online resource :  |b illustrations 
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 
490 1 |a Expert's voice in Java 
500 |a Includes index. 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed December 10, 2015). 
505 0 |a At a Glance; Contents; About the Authors; About the Technical Reviewers; Preface; Chapter 1: Introduction; What is Artificial Intelligence?; Biologically Analogies; History of Evolutionary Computation; The Advantage of Evolutionary Computation; Biological Evolution; An Example of Biological Evolution; Basic Terminology; Terms; Search Spaces; Fitness Landscapes; Local Optimums; Parameters; Mutation Rate; Population Size; Crossover Rate; Genetic Representations; Termination; The Search Process; CITATIONS; Chapter 2: Implementation of a Basic Genetic Algorithm. 
505 8 |a Pre-Implementation Pseudo Code for a Basic Genetic Algorithm; About the Code Examples in this Book; Basic Implementation; The Problem ; Parameters ; Initialization ; Evaluation ; Termination Check ; Crossover ; Roulette Wheel Selection; Crossover Methods; Crossover Pseudo Code; Crossover Implementation; Elitism ; Mutation ; Execution ; Summary ; Chapter 3: Robotic Controllers; Introduction; The Problem; Implementation; Before You Start; Encoding; Initialization; Evaluation; Termination Check; Selection Method and Crossover; Tournament Selection; Single Point Crossover. 
505 8 |a Execution Summary; Exercises; Chapter 4: Traveling Salesman; Introduction; The Problem; Implementation; Before You Start; Encoding; Initialization; Evaluation; Termination Check; Crossover; Mutation; Execution; Summary; Exercises; Chapter 5: Class Scheduling; Introduction; The Problem; Implementation; Before You Start; Encoding; Initialization; The Executive Class; Evaluation; Termination; Mutation; Execution; Analysis and Refinement; Exercises; Summary; Chapter 6: Optimization; Adaptive Genetic Algorithms; Implementation; Exercises; Multi-Heuristics. 
505 8 |a Implementation Exercises; Performance Improvements; Fitness Function Design; Parallel Processing; Fitness Value Hashing; Encoding; Mutation and Crossover Methods; Summary; Index. 
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. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Java (Computer program language) 
650 0 |a Computer algorithms. 
650 2 |a Algorithms 
650 6 |a Java (Langage de programmation) 
650 6 |a Algorithmes. 
650 7 |a algorithms.  |2 aat 
650 7 |a Artificial intelligence.  |2 bicssc 
650 7 |a Programming & scripting languages: general.  |2 bicssc 
650 7 |a COMPUTERS  |x Programming Languages  |x Java.  |2 bisacsh 
650 7 |a Computer algorithms  |2 fast 
650 7 |a Java (Computer program language)  |2 fast 
700 1 |a Kanber, Burak,  |e author. 
773 0 |t Springer eBooks 
776 0 8 |i Print version:  |a Jacobson, Lee.  |t Genetic Algorithms in Java Basics.  |d Berkeley, CA : Apress, ©2016  |z 9781484203293 
830 0 |a Expert's voice in Java. 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781484203286/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a Askews and Holts Library Services  |b ASKH  |n AH31352755 
938 |a Books 24x7  |b B247  |n bks00106719 
938 |a Coutts Information Services  |b COUT  |n 33322240 
938 |a EBL - Ebook Library  |b EBLB  |n EBL4179694 
938 |a EBSCOhost  |b EBSC  |n 1104085 
938 |a ProQuest MyiLibrary Digital eBook Collection  |b IDEB  |n cis33322240 
938 |a YBP Library Services  |b YANK  |n 12724601 
994 |a 92  |b IZTAP