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Interfaces in Computer Science and Operations Research

Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies

  • Richard S. Barr
  • Richard V. Helgason
  • Jeffery L. Kennington
Book

Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 7)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Metaheuristics

  3. Neural Networks

    1. Bruce L. Golden, Edward A. Wasil, Steven P. Coy, Cihan H. Dagli
      Pages 77-95
    2. V. Chandru, M. Vidyasagar, V. Vinay
      Pages 97-121
    3. Theodore B. Trafalis, Nicolas P. Couellan
      Pages 123-139
    4. Ohseok Kwon, Bruce Golden, Edward Wasil
      Pages 141-151
  4. Optimization

    1. Jeffery L. Kennington, Riad A. Mohamed
      Pages 153-182
    2. Hai D. Chu, Eric Gelman, Ellis L. Johnson
      Pages 183-194
  5. Constraint and Logic Programming

    1. M. Bouzoubaa, B. Neveu, G. Hasle
      Pages 195-215
    2. Evangelos Triantaphyllou, Boris Kovalerchuk, Aniruddha S. Deshpande
      Pages 217-240
  6. Stochastic Performance Analysis

  7. Modeling and Decision Support

  8. Applications in Manufacturing, Logistics, and Finance

About this book

Introduction

The disciplines of computer science and operations research (OR) have been linked since their origins, each contributing to the dramatic advances of the other. This work explores the connections between these key technologies: how high-performance computing methods have led to advances in OR de­ ployment, and how OR has contributed to the design and development of ad­ vanced systems. The collected writings-from researchers and practitioners in Computer Science, Operations Research, Management Science, and Artificial Intelligence-were among those delivered at the Fifth INFORMS Computer Science Technical Section Conference in Dallas, Texas, January 8-10, 1996. The articles advance both theory and practice. Presented are new approaches to complex problems based on: metaheuristics (neural networks, genetic al­ gorithms, and Tabu Search), optimization and mathematical programming, stochastic methods, constraint programming, and logical analysis. These ad­ vanced methodologies are applied to new applications in such areas as: telecom­ munications network design, financial engineering, manufacturing, project man­ agement, and forecasting, airline and machine scheduling, vehicle routing, mod­ eling and decision support systems. Featured is a remarkable paper by keynote speaker Fred Glover, creator of the Tabu Search family of metaheuristics. In it he develops the principles of memory-based heuristic methods, contrasts them with the popular genetic algorithms and simulated annealing, provides a sweeping survey of application vignettes, and points to promising avenues for future research.

Keywords

Analysis Data-Envelopment-Analysis Stochastic model algorithms artificial intelligence communication decision support system genetic algorithms heuristics metaheuristic modeling operations research optimization quadratic programming scheduling

Editors and affiliations

  • Richard S. Barr
    • 1
  • Richard V. Helgason
    • 1
  • Jeffery L. Kennington
    • 1
  1. 1.Southern Methodist UniversityDallasUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-4102-8
  • Copyright Information Kluwer Academic Publishers 1997
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6837-3
  • Online ISBN 978-1-4615-4102-8
  • Series Print ISSN 1387-666X
  • Buy this book on publisher's site
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