Engineering Optimization Theory and Practice – Singiresu S. Rao – 4th Edition

Now in its , 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 .

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:

  • examples that show how each method is applied to solve real-world problems across a variety of industries
  • Review questions and problems at the end of each chapter to engage readers in applying their newfound skills and knowledge
  • Examples that demonstrate the use of MATLAB® for the solution of different types of practical optimization problems
  • References and bibliography at the end of each chapter for exploring topics in greater depth
  • 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 in almost any industry improved, more efficient systems at less .

1 to Optimization.
2 Classical Optimization Techniques.
3 Linear Programming I: Simplex Method.
4 Linear Programming II: Additional Topics and Extensions.
5 Nonlinear Programming I: One-Dimensional Minimization Methods.
6 Nonlinear Programming II: Unconstrained Optimization Techniques.
7 Nonlinear Programming III: Constrained Optimization Techniques.
8 Geometric Programming.
9 Dynamic Programming.
10 Integer Programming.
11 Stochastic Programming.
12 Optimal Control and Optimality Criteria Methods.
13 Modern Methods of Optimization.
14 Practical Aspects of Optimization.

A Convex and Concave Functions.
B Some Computational Aspects of Optimization.
C Introduction to MATLAB®.

Title: Engineering Optimization: Theory and Practice
Author: Singiresu S. Rao
Edition: 4th Edition
ISBN: 9780470183526
Type: eBook
Language: English
Operations Research

1 Comment

  • Can you please leave feedback and comments here

    Your opinions and comments would be greatly appreciated. If you have comments or questions we've added this section so that we might have a dialogue with you.

kamesh v v Reply

Optimization Techniques SS Rao – Textbook was available but solutions manual is not available. Please put download link

Complete all fields

eighteen + 16 =