Introduction to Optimum Design. Edition No. 5

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Book
April 2024
Elsevier Science and Technology
ID: 5850178

Introduction to Optimum Design, Fifth Edition is the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level within engineering departments of all disciplines, but primarily within mechanical, aerospace and civil engineering. The basic approach of the text presents an organized approach to engineering design optimization in a rigorous yet simplified manner, illustrating various concepts and procedures with simple examples and demonstrating their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB are featured as learning and teaching aids. This new edition has been enhanced with new or expanded content in such areas as reliability-based optimization, metamodeling, design of experiments, robust design, nature-inspired metaheuristic search methods, and combinatorial optimizaton.

THE BASIC CONCEPTS
1. Introduction to Design Optimization
2. Optimum Design Problem Formulation
3. Graphical Solution Method and Basic Optimization Concepts
4. Optimum Design Concepts: Optimality Conditions
5. More on Optimum Design Concepts: Optimality Conditions

NUMERICAL METHODS FOR CONTINUOUS VARIABLE OPTIMIZATION
6. Optimum Design: Numerical Solution Process and Excel Solver
7. Optimum Design with MATLAB�
8. Linear Programming Methods for Optimum Design
9. More on Linear Programming Methods for Optimum Design
10. Numerical Methods for Unconstrained Optimum Design
11. More on Numerical Methods for Unconstrained Optimum Design
12. Numerical Methods for Constrained Optimum Design
13. More on Numerical Methods for Constrained Optimum Design
14. Practical Applications of Optimization

ADVANCED AND MODERN TOPICS ON OPTIMUM DESIGN
15. Discrete Variable Optimum Design Concepts and Methods
16. Global Optimization: Concepts and Methods
17. Nature-inspired Metaheuristic Search Methods
18. Multi-Objective Optimum Design Concepts and Methods
19. Introduction to Design Under Uncertainty: Reliability-Based Design Optimization
20. Metamodels for Design Optimization: Response Surface Method
21. Robust Design and Optimization�- An Introduction
22. Design of Experiments�- An Introduction

Appendix A. Vector and Matrix Algebra
Appendix B. Sample Computer Programs

Authors

Jasbir Singh Arora Department of Civil and Environmental Engineering & Department of Mechanical Engineering, University of Iowa. Dr. Arora is the F. Wendell Miller Distinguished Professor, Emeritus, of Civil, Environmental and Mechanical Engineering at the University of Iowa. He was also Director of the Optimal Design Laboratory and Associate Director of the Center for Computer Aided Design. He is an internationally recognized expert in the fields of optimization, numerical analysis, and real-time implementation. His research interests include optimization-based digital human modeling, dynamic response optimization, optimal control of systems, design sensitivity analysis and optimization of nonlinear systems, and parallel optimization algorithms. Dr. Arora has authored two books, co-authored or edited five others, written 160 journal articles, 27 book chapters, 130 conference papers, and more than 300 technical reports.

Table of Contents

Authors

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