Engineering Optimization: Theory and Practice / Edition 3

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Overview

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.

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Editorial Reviews

Booknews
A comprehensive professional reference or graduate-level textbook, presenting the theory, techniques, and applications of engineering optimization. Essential proofs and explanations of the various techniques are presented in a simple manner, and new concepts are illustrated with numerical examples. The coverage includes linear and nonlinear programming, integer programming, and stochastic programming techniques, as well as some recently developed methods such as genetic algorithms, simulated annealing, neural-network-based methods, and fuzzy optimization. Includes a large number of solved examples and review questions. Annotation c. Book News, Inc., Portland, OR (booknews.com)
From the Publisher
"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)
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Product Details

  • ISBN-13: 9780471550341
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 2/28/1996
  • Edition description: REV
  • Edition number: 3
  • Pages: 920
  • Product dimensions: 6.38 (w) x 9.33 (h) x 2.08 (d)

Meet the Author

SINGIRESU S. RAO, PhD, is a professor in the School of Mechanical Engineering at Purdue University. He earned his doctorate from Case Western Reserve University and has extensive teaching and research experience at Purdue, San Diego State University, Indian Institute of Technology (Kanpur), and NASA Langley Research Center. Dr. Rao has published more than 125 technical papers in internationally reputed journals and more than 100 papers in conference proceedings in the areas of engineering optimization, reliability-based design, fuzzy systems, active control of structures, concurrent design, and vibration engineering. His previous books include Optimization: Theory and Applications, The Finite Element Method in Engineering, Mechanical Vibrations, and Reliability-Based Design. Dr. Rao has edited several conference proceedings and served as the Conference Chairman and Papers Review Chairman for the ASME Design Automation Committee and as an Associate Editor for the ASME Journal of Mechanisms, Transmissions, and Automation in Design. Currently, he is on the editorial boards of Engineering Optimization, Reliability Engineering & System Safety, and Microelectronics and Reliability.
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Table of Contents

Introduction to Optimization.

Classical Optimization Techniques.

Linear Programming I: Simplex Method.

Linear Programming II: Additional Topics and Extensions.

Nonlinear Programming I: One-Dimensional Minimization Methods.

Nonlinear Programming II: Unconstrained Optimization Techniques.

Nonlinear Programming III: Constrained Optimization Techniques.

Geometric Programming.

Dynamic Programming.

Integer Programming.

Stochastic Programming.

Further Topics in Optimization.

Practical Aspects of Optimization.

Appendices.

Answers to Selected Problems.

Index.

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