Advances in Stochastic and Deterministic Global Optimization

  • Panos M. Pardalos
  • Anatoly Zhigljavsky
  • Julius Žilinskas

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

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Vladik Kreinovich, Andrzej Pownuk, Olga Kosheleva
      Pages 13-32
    3. Ider Tseveendorj, Dominique Fortin
      Pages 33-52
    4. Simon Wessing, Günter Rudolph, Mike Preuss
      Pages 53-70
  3. Applications of Global Optimization

    1. Front Matter
      Pages 71-71
    2. Jolita Bernatavičienė, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevičius, Viktor Medvedev, Povilas Treigys
      Pages 73-85
    3. Gareth Davies, Jonathan Gillard, Anatoly Zhigljavsky
      Pages 87-127
    4. Audrone Jakaitiene, Mara Sangiovanni, Mario R. Guarracino, Panos M. Pardalos
      Pages 129-139
    5. Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov
      Pages 209-226
  4. Multi-Objective Global Optimization

    1. Front Matter
      Pages 227-227
    2. Michael Emmerich, Kaifeng Yang, André Deutz, Hao Wang, Carlos M. Fonseca
      Pages 229-242
    3. Algirdas Lančinskas, Pascual Fernández, Blas Pelegrín, Julius Žilinskas
      Pages 255-272
    4. Ingrida Steponavičė, Mojdeh Shirazi-Manesh, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova
      Pages 273-296

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 who is 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.


deterministic algorithms global optimization linear optimization nonconvex programming nonlinear programming stochastic algorithms

Editors and affiliations

  • Panos M. Pardalos
    • 1
  • Anatoly Zhigljavsky
    • 2
  • Julius Žilinskas
    • 3
  1. 1.Department of Industrial and Systems EngineeringUniversity of FloridaGainesvilleUSA
  2. 2.Cardiff School of MathematicsCardiff UniversityCardiffUnited Kingdom
  3. 3.Institute of Mathematics and InformaticsVilnius UniversityVilniusLithuania

Bibliographic information