Models & Methods for Project Selection

Concepts from Management Science, Finance and Information Technology

  • Samuel B. Graves
  • Jeffrey L. Ringuest
  • Andrés L. Medaglia

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 58)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Samuel B. Graves, Jeffrey L. Ringuest, Andrés L. Medaglia
    Pages 1-17
  3. Samuel B. Graves, Jeffrey L. Ringuest, Andrés L. Medaglia
    Pages 19-30
  4. Samuel B. Graves, Jeffrey L. Ringuest, Andrés L. Medaglia
    Pages 31-40
  5. Samuel B. Graves, Jeffrey L. Ringuest, Andrés L. Medaglia
    Pages 41-64
  6. Samuel B. Graves, Jeffrey L. Ringuest, Andrés L. Medaglia
    Pages 65-76
  7. Samuel B. Graves, Jeffrey L. Ringuest, Andrés L. Medaglia
    Pages 77-93
  8. Samuel B. Graves, Jeffrey L. Ringuest, Andrés L. Medaglia
    Pages 95-117
  9. Samuel B. Graves, Jeffrey L. Ringuest, Andrés L. Medaglia
    Pages 119-145
  10. Samuel B. Graves, Jeffrey L. Ringuest, Andrés L. Medaglia
    Pages 147-161
  11. Back Matter
    Pages 191-193

About this book

Introduction

Models & Methods for Project Selection systematically examines in this book treatment the latest work in the field of project selection modeling. The models presented are drawn from mathematical programming, decision theory, and finance. These models are examined in two categorical streams: the management science stream and the financial model stream. The book describes the assumptions and limitations of each model and provides appropriate solution methodologies. Its organization follows three main themes:
*Criteria for Choice: Chapters 1-3 investigate the effect of the choice of optimization criteria on the results of the portfolio optimization problem. 
*Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem. 
*Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models.

Keywords

Finance Imitation Investment algorithms decision theory evolutionary algorithm linear optimization modeling optimization

Authors and affiliations

  • Samuel B. Graves
    • 1
  • Jeffrey L. Ringuest
    • 1
  • Andrés L. Medaglia
  1. 1.Boston CollegeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-0280-7
  • Copyright Information Kluwer Academic Publishers 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5001-9
  • Online ISBN 978-1-4615-0280-7
  • Series Print ISSN 0884-8289
  • About this book