Ordinal Optimization Soft Optimization for Hard Problems /

Performance evaluation of increasingly complex human-made systems requires the use of simulation models. However, these systems are difficult to describe and capture by succint mathematical models. The purpose of this book is to address the difficulties of the optimization of complex systems via sim...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ho, Yu-Chi (Συγγραφέας), Zhao, Qian-Chuan (Συγγραφέας), Jia, Qing-Shan (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2007.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02830nam a22005895i 4500
001 978-0-387-68692-9
003 DE-He213
005 20151204144550.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 |a 9780387686929  |9 978-0-387-68692-9 
024 7 |a 10.1007/978-0-387-68692-9  |2 doi 
040 |d GrThAP 
050 4 |a TA329-348 
050 4 |a TA640-643 
072 7 |a TBJ  |2 bicssc 
072 7 |a MAT003000  |2 bisacsh 
082 0 4 |a 519  |2 23 
100 1 |a Ho, Yu-Chi.  |e author. 
245 1 0 |a Ordinal Optimization  |h [electronic resource] :  |b Soft Optimization for Hard Problems /  |c by Yu-Chi Ho, Qian-Chuan Zhao, Qing-Shan Jia. 
264 1 |a Boston, MA :  |b Springer US,  |c 2007. 
300 |a XV, 317 p.  |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 Ordinal Optimization Fundamentals -- Comparison of Selection Rules -- Vector Ordinal Optimization -- Constrained Ordinal Optimization -- Memory Limited Strategy Optimization -- Additional Extensions of the OO Methodology -- Real World Application Examples. 
520 |a Performance evaluation of increasingly complex human-made systems requires the use of simulation models. However, these systems are difficult to describe and capture by succint mathematical models. The purpose of this book is to address the difficulties of the optimization of complex systems via simulation models or other computation-intensive models involving possible stochastic effects and discrete choices. This book establishes distinct advantages of the "softer" ordinal approach for search-based type problems, analyzes its general properties, and shows the many orders of magnitude improvement in computational efficiency that is possible. . 
650 0 |a Engineering. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Computational intelligence. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Mechatronics. 
650 0 |a Electrical engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Electrical Engineering. 
650 2 4 |a Control, Robotics, Mechatronics. 
650 2 4 |a Operation Research/Decision Theory. 
700 1 |a Zhao, Qian-Chuan.  |e author. 
700 1 |a Jia, Qing-Shan.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780387372327 
856 4 0 |u http://dx.doi.org/10.1007/978-0-387-68692-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)