Stochastic global optimization / Anatoly Zhigljavsky, Antanas Žilinskas.

This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; the topics include the basic principles and methods of global random search, statistical inference in random search, Markovian and population-b...

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Main Authors: Zhigli︠a︡vskiĭ, A. A. (Anatoliĭ Aleksandrovich) (Author), Zhilinskas, A. (Author)
Format: eBook
Language:English
Published: New York : Springer, ©2008.
Series:Springer optimization and its applications ; 9.
Subjects:
Online Access:Click for online access

MARC

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100 1 |a Zhigli︠a︡vskiĭ, A. A.  |q (Anatoliĭ Aleksandrovich),  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PBJqFQKTrJJBQFqcMcQjt8C 
245 1 0 |a Stochastic global optimization /  |c Anatoly Zhigljavsky, Antanas Žilinskas. 
260 |a New York :  |b Springer,  |c ©2008. 
300 |a 1 online resource (ix, 262 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Springer optimization and its applications ;  |v 9 
504 |a Includes bibliographical references (pages 245-258) and index. 
588 0 |a Print version record. 
505 0 |a Preface -- Introduction -- Basic Concepts and Ideas -- Global Random Search: Fundamentals and Statistical Inference -- Global Random Search: Extensions -- Statistical Models -- References -- Index. 
520 8 |a This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; the topics include the basic principles and methods of global random search, statistical inference in random search, Markovian and population-based random search methods, methods based on statistical models of multimodal functions and principles of rational decisions theory. Key features: @* Inspires readers to explore various stochastic methods of global optimization by clearly explaining the main methodological principles and features of the methods; @* Includes a comprehensive study of probabilistic and statistical models underlying the stochastic optimization algorithms; @* Expands upon more sophisticated techniques including random and semi-random coverings, stratified sampling schemes, Markovian algorithms and population based algorithms; @*Provides a thorough description of the methods based on statistical models of objective function; @*Discusses criteria for evaluating efficiency of optimization algorithms and difficulties occurring in applied global optimization. Stochastic Global Optimization is intended for mature researchers and graduate students interested in global optimization, operations research, computer science, probability, statistics, computational and applied mathematics, mechanical and chemical engineering, and many other fields where methods of global optimization can be used. 
506 |a University staff and students only. Requires University Computer Account login off-campus. 
650 0 |a Mathematical optimization. 
650 0 |a Stochastic processes. 
650 7 |a MATHEMATICS  |x Optimization.  |2 bisacsh 
650 0 7 |a Stochastic processes.  |2 cct 
650 0 7 |a Mathematical optimization.  |2 cct 
650 7 |a Procesos estocásticos  |2 embne 
650 7 |a Optimización matemática  |2 embne 
650 7 |a Mathematical optimization  |2 fast 
650 7 |a Stochastic processes  |2 fast 
650 7 |a Globale Optimierung  |2 gnd 
650 7 |a Stochastische Optimierung  |2 gnd 
650 1 7 |a Optimaliseren.  |2 gtt  |0 (NL-LeOCL)078615801 
650 1 7 |a Stochastische methoden.  |2 gtt  |0 (NL-LeOCL)078677181 
700 1 |a Zhilinskas, A.,  |e author. 
758 |i has work:  |a Stochastic Global Optimization (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGc69qVpYk3wT3Dm8k3GH3  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Zhigli︠a︡vskiĭ, A.A. (Anatoliĭ Aleksandrovich).  |t Stochastic global optimization.  |d New York : Springer, ©2008  |z 0387740228  |z 9780387740225  |w (DLC) 2007933821  |w (OCoLC)175285201 
830 0 |a Springer optimization and its applications ;  |v 9. 
856 4 0 |u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=337204  |y Click for online access 
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