Engineering Optimization: Theory and Practice

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John Wiley & Sons, Nov 12, 2019 - Technology & Engineering - 832 pages

The revised and updated new edition of the popular optimization book for engineers

The thoroughly revised and updated fifth edition of Engineering Optimization: Theory and Practice offers engineers a guide to the important optimization methods that are commonly used in a wide range of industries. The author—a noted expert on the topic—presents both the classical and most recent optimizations approaches. The book introduces the basic methods and includes information on more advanced principles and applications.

The fifth edition presents four new chapters: Solution of Optimization Problems Using MATLAB; Metaheuristic Optimization Methods; Multi-Objective Optimization Methods; and Practical Implementation of Optimization. All of the book's topics are designed to be self-contained units with the concepts described in detail with derivations presented. The author puts the emphasis on computational aspects of optimization and includes design examples and problems representing different areas of engineering. Comprehensive in scope, the book contains solved examples, review questions and problems, and is accompanied by a website hosting a solutions manual. This important book:

  • Offers an updated edition of the classic work on optimization
  • Includes approaches that are appropriate for all branches of engineering
  • Contains numerous practical design and engineering examples
  • Offers more than 140 illustrative examples, 500 plus references in the literature of engineering optimization, and more than 500 review questions and answers
  • Demonstrates the use of MATLAB for solving different types of optimization problems using different techniques

Written for students across all engineering disciplines, the revised edition of Engineering Optimization: Theory and Practice is the comprehensive book that covers the new and recent methods of optimization and reviews the principles and applications.

 

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Contents

Classical Optimization Techniques
57
Review Questions
97
Simplex Method
109
Problems
145
Additional Topics and Extensions
159
Review Questions
215
OneDimensional Minimization Methods
225
ELIMINATION METHODS
231
References and Bibliography
530
Integer Programming
537
INTEGER NONLINEAR PROGRAMMING
553
Review Questions
570
Optimal Control and Optimality Criteria Methods
609
References and Bibliography
628
References and Bibliography
667
Metaheuristic Optimization Methods
673

8
233
INTERPOLATION METHODS
247
Problems
268
9
299
INDIRECT SEARCH DESCENT METHODS
304
10 Conjugate Gradient FletcherReeves Method
310
Constrained Optimization Techniques
347
10
352
Review Questions
437
12 Applications of Geometric Programming
481
Dynamic Programming
497
References and Bibliography
692
References and Bibliography
715
Multilevel and Multiobjective Optimization
721
Solution of Optimization Problems Using MATLAB
739
8 Solution of Constrained Optimization Problems
747
References and Bibliography
755
A Convex and Concave Functions
761
B Some Computational Aspects of Optimization
767
Introduction to MATLAB
773
Index
787
Copyright

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About the author (2019)

Singiresu S. Rao is a Professor in the Mechanical and Aerospace Engineering Department at the University of Miami. His main areas of research include multi objective optimization and uncertainty models in engineering analysis, design and optimization.

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