Advances in Stochastic and Deterministic Global Optimization (Paperback, Softcover reprint of the original 1st ed. 2016)

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 Zilinskas who is a leading world expert in global optimization. Professor Zilinskas'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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Optimization and Its Applications, 107
Release date:	June 2018
First published:	2016
Editors:	Panos M. Pardalos • Anatoly Zhigljavsky • Julius Zilinskas
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	296
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-80697-6
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-319-80697-1
Barcode:	9783319806976

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