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.
Key Features
- Describes basic concepts of optimality conditions and numerical methods with simple and practical examples, making the material highly teachable and learnable
- Includes applications of optimization methods for structural, mechanical, aerospace, and industrial engineering problems
- Covers practical design examples and introduces students to the use of optimization methods
- Serves the needs of instructors who teach more advanced courses
- Features new or expanded contents in such areas as design under uncertainty - reliability-based design optimization, metamodeling - response surface method, design of experiments, nature-inspired metaheuristic search methods, and robust design
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
- Excel_Files
- MATLAB_Files
- Sample_Exams.pdf
- Sample_Projects.pdf
- Solution_Manual
- FrontPages.docx
- IOD_App-A-sol.docx
- IOD_Ch01-sol.docx
- IOD_Ch016-sol.docx
- IOD_Ch02-sol.docx
- IOD_Ch03(3.1to3.20)-sol.docx
- IOD_Ch03(3.21to3.54)-sol.docx
- IOD_Ch04-(1 to 99)-sol.docx
- IOD_Ch04-(100 to end)-sol.docx
- IOD_Ch05-sol.docx
- IOD_Ch06-sol.docx
- IOD_Ch07-sol.docx
- IOD_Ch08-sol.docx
- IOD_Ch09-sol.docx
- IOD_Ch10-sol.docx
- IOD_Ch11-sol.docx
- IOD_Ch12-sol.docx
- IOD_Ch13-sol.docx
- IOD_Ch14-sol.docx
- IOD_Ch18-sol.docx
- IOD_Sample-Exams.docx
- IOD_Sample-Projects.docx