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  • © 2017

Optimization Methods and Applications

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

  • Broadens understanding of optimization models and solution methods
  • Applies optimization techniques to genetics, health-care, economics, technology, information systems and networks
  • Shares tips and insights on a range of optimization methods

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

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Table of contents (29 chapters)

  1. Front Matter

    Pages i-xi
  2. Assessment of Exporting Economies Influence on the Global Food Network

    • Fuad Aleskerov, Zlata Sergeeva, Sergey Shvydun
    Pages 1-10
  3. Symmetry in DNA: Methods of Pattern Recognition Based on Hidden Markov Models

    • Borys O. Biletskyy, Anatoliy M. Gupal
    Pages 11-32
  4. Local and Variable Neighborhood Searches for Solving the Capacitated Clustering Problem

    • Jack Brimberg, Nenad Mladenović, Raca Todosijević, Dragan UroÅ¡ević
    Pages 33-55
  5. Operations Research Techniques in Wildfire Fuel Management

    • Colin P. Gillen, Dmytro Matsypura, Oleg A. Prokopyev
    Pages 119-135
  6. Evolutionary Multimodal Optimization

    • Mykola M. Glybovets, Nataliya M. Gulayeva
    Pages 137-181
  7. Linear Assignment Problems in Combinatorial Optimization

    • Boris Goldengorin, Dmitry Krushinsky
    Pages 183-216
  8. The Maximum Edge Weight Clique Problem: Formulations and Solution Approaches

    • Seyedmohammadhossein Hosseinian, Dalila B. M. M. Fontes, Sergiy Butenko, Marco Buongiorno Nardelli, Marco Fornari, Stefano Curtarolo
    Pages 217-237
  9. Formalization and Classification of Combinatorial Optimization Problems

    • Leonid Hulianytskyi, Iryna Riasna
    Pages 239-250
  10. Very Large-Scale Neighborhood Search for the Multidimensional Assignment Problem

    • Alla R. Kammerdiner, Charles F. Vaughan
    Pages 251-262
  11. Electricity Market Structure and Pricing Analyses

    • Panos M. Pardalos, Anil Singh, Wenche Wang
    Pages 379-402
  12. Fuzzy Models in the Tasks of Pattern Recognition

    • Oleksandr I. Provotar
    Pages 403-424

About this book

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.



Editors and Affiliations

  • Industrial & Systems Engineering, Texas A&M University, College Station, USA

    Sergiy Butenko

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

    Panos M. Pardalos

  • Methods of Discrete Optimization, V.M. Glushkov Institute of Cybernetics, Kyiv, Ukraine

    Volodymyr Shylo

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access