Optimization Methods and Applications

In Honor of Ivan V. Sergienko's 80th Birthday

  • Sergiy Butenko
  • Panos M. Pardalos
  • Volodymyr Shylo

Part of the Springer Optimization and Its Applications book series (SOIA, volume 130)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Fuad Aleskerov, Zlata Sergeeva, Sergey Shvydun
    Pages 1-10
  3. Borys O. Biletskyy, Anatoliy M. Gupal
    Pages 11-32
  4. Jack Brimberg, Nenad Mladenović, Raca Todosijević, Dragan Urošević
    Pages 33-55
  5. Colin P. Gillen, Dmytro Matsypura, Oleg A. Prokopyev
    Pages 119-135
  6. Mykola M. Glybovets, Nataliya M. Gulayeva
    Pages 137-181
  7. Boris Goldengorin, Dmitry Krushinsky
    Pages 183-216
  8. Seyedmohammadhossein Hosseinian, Dalila B. M. M. Fontes, Sergiy Butenko, Marco Buongiorno Nardelli, Marco Fornari, Stefano Curtarolo
    Pages 217-237
  9. Leonid Hulianytskyi, Iryna Riasna
    Pages 239-250
  10. Alla R. Kammerdiner, Charles F. Vaughan
    Pages 251-262
  11. Panos M. Pardalos, Anil Singh, Wenche Wang
    Pages 379-402
  12. Oleksandr I. Provotar
    Pages 403-424

About this book

Introduction

Researchers and practitioners in computer science, optimization, operations research and mathematics will find this book useful as it illustrates optimization models and solution methods in discrete, non-differentiable, stochastic, and nonlinear optimization. Contributions from experts in optimization are showcased in this book showcase a broad range of applications and topics detailed in this volume, including pattern and image recognition, computer vision, robust network design, and process control in nonlinear distributed systems.

This book is dedicated to the 80th birthday of Ivan V. Sergienko, who is a member of the National Academy of Sciences (NAS) of Ukraine and the director of the V.M. Glushkov Institute of Cybernetics. His work has had a significant impact on several theoretical and applied aspects of discrete optimization, computational mathematics, systems analysis and mathematical modeling.

 

Keywords

global optimization in graphs and networks metaheuristic methods Heuristic methods Combinatorial optimization Risk models in networks discrete optimization Exporting Economies Markov Models Capacitated Clustering Problem Lexicographic Search Boolean Programming Problems Error and Attack Resilient Clusters in Networks Maximum Edge Weight Clique Problem Empirical Means in Stochastic Optimization Problems Multicriteria Stochastic Optimization Problems Ivan V. Sergienko Fuzzy Models of Pattern Recognition Convex Extensions in Combinatorial Optimization Data Transfer Optimization

Editors and affiliations

  • Sergiy Butenko
    • 1
  • Panos M. Pardalos
    • 2
  • Volodymyr Shylo
    • 3
  1. 1.Industrial & Systems EngineeringTexas A&M UniversityCollege StationUSA
  2. 2.Department of Industrial and Systems EngineeringUniversity of FloridaGainesvilleUSA
  3. 3.Methods of Discrete OptimizationV.M. Glushkov Institute of CyberneticsKyivUkraine

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-68640-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-68639-4
  • Online ISBN 978-3-319-68640-0
  • Series Print ISSN 1931-6828
  • Series Online ISSN 1931-6836
  • About this book