Overview
- Offers a problem-solving approach and a large number of illustrative examples leading to a step-by-step formulation and solving of optimization problems
- Discussions are based on real-world examples and case studies
- Clarity of presentation maintains mathematical rigor
- Optimization textbook with broad appeal expressly for engineering upper-undergraduates/graduate students
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 120)
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Table of contents (6 chapters)
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
About this book
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.
Authors and Affiliations
About the authors
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
DOI: https://doi.org/10.1007/978-3-319-56769-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-56767-9Published: 03 July 2017
Softcover ISBN: 978-3-319-85996-5Published: 10 August 2018
eBook ISBN: 978-3-319-56769-3Published: 24 June 2017
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