Advances in stochastic and deterministic global optimization
Author(s)
Bibliographic Information
Advances in stochastic and deterministic global optimization
(Springer optimization and its applications, v. 107)
Springer, c2016
- : [hardback]
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
Description and Table of Contents
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 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.
Table of Contents
Part I: Theory and Algorithms for Global Optimization.- On the Asymptotic Tractability of Global Optimization.- Combining Interval and Probabilistic Uncertainty: What Is Computable?.- Survey of Piecewise Convex Maximization and PCMP over Spherical Sets.- Assessing Basin Identification Methods for Locating Multiple Optima.- Part II: Applications of Global Optimization.- Cloud Computing Approach for Intelligent Visualization of Multidimensional Data.- Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration.- Multidimensional Scaling for Genomic Data.- Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price.- Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example.- Dynamic Global Optimisation Methods for Determining Guaranteed Solutions in Chemical Engineering.- On the Least-Squares Fitting of Data by Sinusoids.- Part III: Multi-objective Global Optimization.- A Multicriteria Generalization of Bayesian Global Optimization.- Understanding the Impact of Constraints: a Rank Based Fitness Function for Evolutionary Methods.- Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem.- On Sampling Methods for Costly Multi-objective Black-box Optimization.
by "Nielsen BookData"