Stochastic global optimization

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 Author: Zhigli{u0361}avskiĭ, A. A.
Other Authors: Zhilinskas, A.,, SpringerLink (Online service)
Format: eBook
Language: English
Published: New York : Springer, ©2008.
New York : [2008]
Physical Description: 1 online resource (ix, 262 pages) : illustrations (some color).
Series: Springer optimization and its applications ; 9.
Subjects:

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