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Engineering Optimization: Theory and Practice, by Singiresu S. Rao
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Technology/Engineering/Mechanical
Helps you move from theory to optimizing engineering systems in almost any industry
Now in its Fourth Edition, Professor Singiresu Rao's acclaimed text Engineering Optimization enables readers to quickly master and apply all the important optimization methods in use today across a broad range of industries. Covering both the latest and classical optimization methods, the text starts off with the basics and then progressively builds to advanced principles and applications.
This comprehensive text covers nonlinear, linear, geometric, dynamic, and stochastic programming techniques as well as more specialized methods such as multiobjective, genetic algorithms, simulated annealing, neural networks, particle swarm optimization, ant colony optimization, and fuzzy optimization. Each method is presented in clear, straightforward language, making even the more sophisticated techniques easy to grasp. Moreover, the author provides:
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Case examples that show how each method is applied to solve real-world problems across a variety of industries
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Review questions and problems at the end of each chapter to engage readers in applying their newfound skills and knowledge
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Examples that demonstrate the use of MATLAB� for the solution of different types of practical optimization problems
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References and bibliography at the end of each chapter for exploring topics in greater depth
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Answers to Review Questions available on the author's Web site to help readers to test their understanding of the basic concepts
With its emphasis on problem-solving and applications, Engineering Optimization is ideal for upper-level undergraduates and graduate students in mechanical, civil, electrical, chemical, and aerospace engineering. In addition, the text helps practicing engineers in almost any industry design improved, more efficient systems at less cost.
- Sales Rank: #794447 in Books
- Published on: 2009-07-20
- Original language: English
- Number of items: 1
- Dimensions: 9.57" h x 1.80" w x 11.82" l, 3.45 pounds
- Binding: Hardcover
- 840 pages
Review
"He presents an updated textbook addressing the techniques and applications of engineering optimization for the efficient and economical design and production of products and systems. The material has been used extensively by the author to teach optimum design and engineering optimization courses at the advanced-undergraduate and graduate levels at a number of universities." (Book News, August 2009)
From the Publisher
Contains linear, nonlinear, integer, dynamic and stochastic programming. Every technique is illustrated with examples from authentic engineering designs to demonstrate how it is possible to maximize the desired benefit and minimize negative aspects of project design. This edition includes increased emphasis on applications for mechanical and aerospace industries as well as new computer programs to solve both linear and nonlinear problems.
From the Back Cover
A rigorous mathematical approach to identifying a set of design alternatives and selecting the best candidate from within that set, engineering optimization was developed as a means of helping engineers to design systems that are both more efficient and less expensive and to develop new ways of improving the performance of existing systems. Thanks to the breathtaking growth in computer technology that has occurred over the past decade, optimization techniques can now be used to find creative solutions to larger, more complex problems than ever before. As a consequence, optimization is now viewed as an indispensable tool of the trade for engineers working in many different industries, especially the aerospace, automotive, chemical, electrical, and manufacturing industries.
In Engineering Optimization, Professor Singiresu S. Rao provides an application-oriented presentation of the full array of classical and newly developed optimization techniques now being used by engineers in a wide range of industries. Essential proofs and explanations of the various techniques are given in a straightforward, user-friendly manner, and each method is copiously illustrated with real-world examples that demonstrate how to maximize desired benefits while minimizing negative aspects of project design.
Comprehensive, authoritative, up-to-date, Engineering Optimization provides in-depth coverage of linear and nonlinear programming, dynamic programming, integer programming, and stochastic programming techniques as well as several breakthrough methods, including genetic algorithms, simulated annealing, and neural network-based and fuzzy optimization techniques.
Designed to function equally well as either a professional reference or a graduate-level text, Engineering Optimization features many solved problems taken from several engineering fields, as well as review questions, important figures, and helpful references.
An indispensable working resource for practicing engineers
Engineering Optimization
Providing engineers with a rigorous, systematic method for rapidly zeroing in on the most innovative, cost-effective solutions to some of today's most challenging engineering design problems, optimization is a powerful tool of the trade for engineers in virtually every discipline. Now, in his latest book, Engineering Optimization, Singiresu S. Rao provides you with the most practical, up-to-date, and comprehensive coverage of new and classical optimization techniques currently in use throughout a wide range of industries. Designed to serve as both a daily working resource and an excellent graduate-level text, Engineering Optimization gives you:
- In-depth coverage of linear and nonlinear programming, dynamic programming, integer programming, and stochastic programming techniques
- New or recently developed methods, including genetic algorithms, simulated annealing, neural network-based and fuzzy optimization techniques
- Dozens of real-world design optimization examples taken from a wide range of industries
- Numerous solved problems and review questions
- An extensive bibliography
Engineering Optimization is a valuable working resource for engineers employed in practically all technological industries. It is also a superior didactic tool for graduate students of mechanical, civil, electrical, chemical, and aerospace engineering.
Most helpful customer reviews
13 of 14 people found the following review helpful.
A most valued addition to my bookshelf.
By Rajkumar Vedam
I am a sucker for books on applied mathematics. This book ranks among my most valued ones, and is always within constant reach for reference on optimization algorithms. The book covers linear programming, nonlinear programming, geometric programming, dynamic programming, integer programming, and stochastic programming. A wide array of methods which seem impressively complete are covered in this 903-page book. The addressing of the topics is geared more towards making the reader understand how the algorithms were derived (which is welcome, in contrast to chasing up the original research papers), and using them. Just about every method is illustrated clearly with examples - a welcome feature of the book. One minor drawback is that all examples and exercises that are applied to engineering, are drawn from mechanical and civil areas (note: there are also many examples that are mathematical toy problems). Having said that, I must hasten to add that I am an electrical engineer, and I have no problem at all in using this book. Strongly recommended for people who work with optimization algorithms!
5 of 5 people found the following review helpful.
Great introductory text for engineers!
By kelly londry
This work is one of my favorite all-around optimization books. It covers a lot of ground and it is very well written from a pedegogical point of view. Covered are a full range of linear and nonlinear methods, and for both constrained and unconstrained problem types. Also treated are geometric, dynamic, and integer programming techniques. Many of the algorithms within the book are presented with step-by-step examples which greatly assist the reader.
One downside is that I found the explanations of SQP and GRG methods to be confusing and insufficient. As these two techniques are among the more efficient and robust for many NLP problems (which are essential for engineering applications), this was disappointing. I hope Professor Rao will write a fourth edition with improvements in these particular areas. Otherwise, this book stands out as a useful and practical reference for both students and practicing engineers. If I had to have only one general book on optimization, this would be it. Other useful favorites are "Numerical Optimization" by Nocedal and Wright, "Practical Methods of Optimization" by Fletcher, and "Numerical Methods for Unconstrained Optimization and Nonlinear Equations" by Dennis and Schnabel.
4 of 5 people found the following review helpful.
An update to the review above
By Rajkumar Vedam
Since writing the above review in 1999, I have become familiar with some of the more recent methods for linear optimization. If you are interested in linear/integer optimization, you may be interested to know that this book discusses the simplex method and its derivatives, and describes Gomory cutting plane method for integer programming. Lest you get carried away by the unbridled optimism expressed in the previous review , please note - this book does not cover iterative linear programming methods such as interior point methods, EXCEPT for a rather good, detailed description of Karmarkar's 1984 method (projective transformation), with a numerical example. Another omission is trust-region methods; however line-search methods are discussed. So if 0/1 optimization, interior point methods, semi-definite programming, trust-region methods is your cup of tea, shop elsewhere. I'm rolling back my previous rating from 5-stars to 4-stars on this count.
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