The Next Wave in Computing, Optimization, and Decision Technologies

  • Bruce Golden
  • S. Raghavan
  • Edward Wasil
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 29)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Network

    1. Front Matter
      Pages 1-1
    2. Gerald G. Brown, W. Matthew Carlyle, Johannes O. Royset, R. Kevin Wood
      Pages 3-17
  3. Integer and Mixed Integer Programming

    1. Front Matter
      Pages 27-27
    2. Edward K. Baker, Anito Joseph, Brenda Rayco
      Pages 29-44
    3. Lawrence H. Cox, James P. Kelly, Rahul J. Patil
      Pages 45-59
    4. Ted K. Ralphs, Menal Güzelsoy
      Pages 61-76
  4. Heuristic Search

    1. Front Matter
      Pages 77-77
    2. Edmund Burke, Moshe Dror, Sanja Petrovic, Rong Qu
      Pages 79-91
    3. Raffaele Cerulli, Andreas Fink, Monica Gentili, Stefan Voß
      Pages 93-106
    4. Kenneth W. Flowers, Beth A. Novick, Douglas R. Shier
      Pages 121-132
    5. Ian Frommer, Bruce Golden, Guruprasad Pundoor
      Pages 133-148
    6. Manuel Laguna, Terry Wubbena
      Pages 149-162
    7. Feiyue Li, Bruce Golden, Edward Wasil
      Pages 163-182
    8. Michelle M. Mizumori, Charles S. ReVelle, Justin C. Williams
      Pages 183-198
  5. Stochastic Modeling

    1. Front Matter
      Pages 199-199
    2. John M. Mulvey, A. J. Thompson
      Pages 213-228

About these proceedings

Introduction

THE NEXT WAVE IN COMPUTING, OPTIMIZATION, AND DECISION TECHNOLOGIES is divided into six sections. The first section contains two papers on network models. The second section focuses in integer and mixed integer programming. The third section contains papers in which heuristic search and metaheuristics are applied. Three papers using stochastic modeling comprise the fourth section. In the fifth section, the unifying theme is software and modeling. The sixth section contains four papers on classification, clustering, and ranking. Each article in the volume has been carefully reviewed and revised accordingly.

Computer Science and Operations Research continue to have a synergistic relationship and this book represents the results of the cross-fertilization between OR/MS and CS/AI. It is this interface of OR/CS that makes possible advances that could not have been achieved in isolation. Taken collectively, these articles are indicative of the state-of-the-art in the interface between OR/MS and CS/AI and of the high-caliber research being conducted by members of the INFORMS Computing Society.

Keywords

Analysis Stochastic model algorithms complexity computer computer science linear optimization modeling operations research optimization programming quality assurance verification

Editors and affiliations

  • Bruce Golden
    • 1
  • S. Raghavan
    • 1
  • Edward Wasil
    • 2
  1. 1.University of MarylandUSA
  2. 2.American UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b101696
  • Copyright Information Springer Science+Business Media, Inc. 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-23528-8
  • Online ISBN 978-0-387-23529-5
  • Series Print ISSN 1387-666X