Modern Optimization with R

The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Cortez, Paulo (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Σειρά:Use R!,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02548nam a22004575i 4500
001 978-3-319-08263-9
003 DE-He213
005 20140906140253.0
007 cr nn 008mamaa
008 140906s2014 gw | s |||| 0|eng d
020 |a 9783319082639  |9 978-3-319-08263-9 
024 7 |a 10.1007/978-3-319-08263-9  |2 doi 
040 |d GrThAP 
050 4 |a QA402.5-402.6 
072 7 |a PBU  |2 bicssc 
072 7 |a MAT003000  |2 bisacsh 
082 0 4 |a 519.6  |2 23 
100 1 |a Cortez, Paulo.  |e author. 
245 1 0 |a Modern Optimization with R  |h [electronic resource] /  |c by Paulo Cortez. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a XIII, 188 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 
490 1 |a Use R!,  |x 2197-5736 
505 0 |a 1. Introduction -- 2. R Basics -- 3. Blind Search -- 4. Local Search -- 5. Population-Based Search -- 6. Multi-Objective Optimization -- 7. Applications. 
520 |a The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in Computer Science, Information Technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R. 
650 0 |a Mathematics. 
650 0 |a Mathematical optimization. 
650 1 4 |a Mathematics. 
650 2 4 |a Optimization. 
650 2 4 |a Continuous Optimization. 
650 2 4 |a Discrete Optimization. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319082622 
830 0 |a Use R!,  |x 2197-5736 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-08263-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)