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© 2017

Optimization in Engineering

Models and Algorithms

Textbook

Part of the Springer Optimization and Its Applications book series (SOIA, volume 120)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Ramteen Sioshansi, Antonio J. Conejo
    Pages 1-16
  3. Ramteen Sioshansi, Antonio J. Conejo
    Pages 17-121
  4. Ramteen Sioshansi, Antonio J. Conejo
    Pages 123-196
  5. Ramteen Sioshansi, Antonio J. Conejo
    Pages 197-285
  6. Ramteen Sioshansi, Antonio J. Conejo
    Pages 287-336
  7. Ramteen Sioshansi, Antonio J. Conejo
    Pages 337-388
  8. Back Matter
    Pages 389-412

About this book

Introduction

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems.

The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

Keywords

linear programming modeling GAMS optimization energy optimization engineering optimization undergraduate engineering optimization undergraduate textbook graduate textbook industrial engineering dynamic optimization problem linear optimization problem mixed-integer optimization nonlinear optimization problem duality theory Taylor approximation

Authors and affiliations

  1. 1.Department of Integrated Systems EngineeringThe Ohio State UniversityColumbusUSA
  2. 2.Department of Integrated Systems Engineering and Department of Electrical and Computer EngineeringThe Ohio State UniversityColumbusUSA

About the authors

Ramteen Sioshansi is an associate professor in the Department of Integrated Systems Engineering at The Ohio State University. He holds a B.A., M.S., and Ph.D. from the University of California, Berkeley and an M.Sc. from the London School of Economics and Political Science. He has published over 50 peer-reviewed journals and has been the principal investigator of many research projects sponsored by public agencies and private industry. Antonio J. Conejo, professor at The Ohio State University, OH, US, received the B.S from Univ. P. Comillas, Spain, the M.S. from MIT, US and the Ph.D. from the Royal Institute of Technology, Sweden. He has published over 190 papers in SCI journals and is the author or coauthor of books published by Springer, John Wiley, McGraw-Hill and CRC. He has been the principal investigator of many research projects financed by public agencies and the power industry and has supervised 19 PhD theses. He is an IEEE Fellow.

Bibliographic information

  • Book Title Optimization in Engineering
  • Book Subtitle Models and Algorithms
  • Authors Ramteen Sioshansi
    Antonio J. Conejo
  • Series Title Springer Optimization and Its Applications
  • Series Abbreviated Title Springer Optimization
  • DOI https://doi.org/10.1007/978-3-319-56769-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
  • Hardcover ISBN 978-3-319-56767-9
  • Softcover ISBN 978-3-319-85996-5
  • eBook ISBN 978-3-319-56769-3
  • Series ISSN 1931-6828
  • Series E-ISSN 1931-6836
  • Edition Number 1
  • Number of Pages XV, 412
  • Number of Illustrations 45 b/w illustrations, 26 illustrations in colour
  • Topics Optimization
    Industrial and Production Engineering
  • Buy this book on publisher's site
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