Advances in Stochastic and Deterministic Global Optimization

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Springer


Paru le : 2016-11-04

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Description
Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey calibration, inventory management, timetabling, chemical engineering, energy systems, and competitive facility location. Graduate students, researchers, and scientists in computer science, numerical analysis, optimization, and applied mathematics will be fascinated by the theoretical, computational, and application-oriented aspects of stochastic and deterministic global optimization explored in this book.


This volume is dedicated to the 70th birthday of Antanas Žilinskas whois a leading world expert in global optimization. Professor Žilinskas's research has concentrated on studying models for the objective function, the development and implementation of efficient algorithms for global optimization with single and multiple objectives, and application of algorithms for solving real-world practical problems.
Pages
296 pages
Collection
n.c
Parution
2016-11-04
Marque
Springer
EAN papier
9783319299730
EAN PDF
9783319299754

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
7526 Ko
Prix
105,49 €
EAN EPUB
9783319299754

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
3789 Ko
Prix
105,49 €

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