Engineering Optimization: Theory and Practice

Sampul Depan
John Wiley & Sons, 12 Nov 2019 - 832 halaman

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. 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.

 

Halaman terpilih

Isi

5 3 Classification Based on the Physical Structure of the Problem 15
18
Classical Optimization Techniques
57
3
109
Problems
145
Additional Topics and Extensions
159
OneDimensional Minimization Methods
225
ELIMINATION METHODS
231
k k 5 8 Golden Section Method
243
Integer Programming
537
Review Questions
570
Stochastic Nonlinear Programming
594
Stochastic Geometric Programming
600
Optimal Control and Optimality Criteria Methods
609
References and Bibliography
628
4
656
References and Bibliography
667

529
253
Problems
268
INDIRECT SEARCH DESCENT METHODS
304
10 Conjugate Gradient FletcherReeves Method 310
310
Constrained Optimization Techniques
347
INDIRECT METHODS
392
Review Questions
437
Dynamic Programming
497
9
523
References and Bibliography
530
References and Bibliography
692
Multilevel and Multiobjective Optimization
721
Solution of Optimization Problems Using MATLAB
739
8 Solution of Constrained Optimization Problems 747
747
A Convex and Concave Functions
761
B Some Computational Aspects of Optimization
767
Introduction to MATLAB
773
Index
787
Hak Cipta

Edisi yang lain - Lihat semua

Engineering Optimization: Theory and Practice
Singiresu S. Rao
Pratinjau terbatas - 2019

Istilah dan frasa umum

algorithm Applications approximation Assume basic basic variables basis beam becomes called Chapter coefficients column compute considered constant constraints convergence convex corresponding cost defined definite derivatives design variables Determine direction dual Engineering equal equations Example experiments expressed feasible feasible solution Figure Formulate geometric given gives gradient hence indicated initial interval Introduction iteration known load LP problem machines matrix Maximize maximum Minimize Minimize f minimum negative nonlinear objective function obtain operations optimization problem optimum optimum point optimum solution original pivot positive possible present procedure quadratic reduce relation relative respectively satisfied seen shown in Figure simplex method solution solving stage starting step step length stochastic programming stress sufficient Table techniques Theorem Theory types unconstrained unit vector weight Wiley York zero 𝜆 дх

Tentang pengarang (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.

Informasi bibliografi

JudulEngineering Optimization: Theory and Practice
PengarangSingiresu S. Rao
Edisi5
PenerbitJohn Wiley & Sons, 2019
ISBN1119454719, 9781119454717
Tebal832 halaman
  
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