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Advances in Stochastic and Deterministic Global Optimization

  • Book
  • © 2016

Overview

Editors:
  1. Panos M. Pardalos

    1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

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  2. Anatoly Zhigljavsky

    1. Cardiff School of Mathematics, Cardiff University, Cardiff, United Kingdom

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  3. Julius Žilinskas

    1. Institute of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania

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  • Includes theoretical, computational and application aspects of stochastic and deterministic global optimization
  • Provides recent research results and reviews in global optimization
  • Contains contributions from leading scientists in global optimization ?
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Optimization and Its Applications (SOIA, volume 107)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Theory and Algorithms for Global Optimization

    1. Front Matter

      Pages 1-1
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    2. On the Asymptotic Tractability of Global Optimization

      • James M. Calvin
      Pages 3-12

    3. Combining Interval and Probabilistic Uncertainty: What Is Computable?

      • Vladik Kreinovich, Andrzej Pownuk, Olga Kosheleva
      Pages 13-32

    4. Survey of Piecewise Convex Maximization and PCMP over Spherical Sets

      • Ider Tseveendorj, Dominique Fortin
      Pages 33-52

    5. Assessing Basin Identification Methods for Locating Multiple Optima

      • Simon Wessing, Günter Rudolph, Mike Preuss
      Pages 53-70

  3. Applications of Global Optimization

    1. Front Matter

      Pages 71-71
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    2. Cloud Computing Approach for Intelligent Visualization of Multidimensional Data

      • Jolita Bernatavičienė, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevičius, Viktor Medvedev, Povilas Treigys
      Pages 73-85

    3. Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration

      • Gareth Davies, Jonathan Gillard, Anatoly Zhigljavsky
      Pages 87-127

    4. Multidimensional Scaling for Genomic Data

      • Audrone Jakaitiene, Mara Sangiovanni, Mario R. Guarracino, Panos M. Pardalos
      Pages 129-139

    5. Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price

      • Ken McKinnon, Yu Yu
      Pages 141-165

    6. Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example

      • Jonas Mockus, Lina Pupeikiene
      Pages 167-180

    7. Dynamic Global Optimization Methods for Determining Guaranteed Solutions in Chemical Engineering

      • Carlos Pérez-Galván, I. David L. Bogle
      Pages 181-207

    8. On the Least-Squares Fitting of Data by Sinusoids

      • Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov
      Pages 209-226

  4. Multi-Objective Global Optimization

    1. Front Matter

      Pages 227-227
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    2. A Multicriteria Generalization of Bayesian Global Optimization

      • Michael Emmerich, Kaifeng Yang, André Deutz, Hao Wang, Carlos M. Fonseca
      Pages 229-242

    3. Understanding the Impact of Constraints: A Rank Based Fitness Function for Evolutionary Methods

      • Eric S. Fraga, Oluwamayowa Amusat
      Pages 243-254

    4. Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem

      • Algirdas Lančinskas, Pascual Fernández, Blas Pelegrín, Julius Žilinskas
      Pages 255-272

    5. On Sampling Methods for Costly Multi-Objective Black-Box Optimization

      • Ingrida Steponavičė, Mojdeh Shirazi-Manesh, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova
      Pages 273-296
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

    Panos M. Pardalos

  • Cardiff School of Mathematics, Cardiff University, Cardiff, United Kingdom

    Anatoly Zhigljavsky

  • Institute of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania

    Julius Žilinskas

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