Introduction to Design Optimization Optimum Design Problem Formulation Graphical Optimization and Basic Concepts Optimum Design Concepts: Optimality Conditions More on Optimum Design Concepts: Optimality Conditions Optimum Design with Excel Solver Optimum Design with MATLAB Linear Programming Methods for Optimum Design More on Linear Programming Methods for Optimum Design Numerical Methods for Unconstrained Optimum Design More on Numerical Methods for Unconstrained Optimum Design Numerical Methods for Constrained Optimum Design More on Numerical Methods for Constrained Optimum Design Practical Applications of Optimization Discrete Variable Optimum Design Concepts and Methods Genetic Algorithms for Optimum Design Multi-Objective Optimum Design Concepts and Methods Global Optimization Concepts and Methods Nature-Inspired Search Methods Additional Topics on Optimum Design Appendices.

Summary: Introduction to Optimum Design 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 is to describe an organized approach to engineering design optimization in a rigorous yet simplified manner, illustrate various concepts and procedures with simple examples, and demonstrate 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 throughout as learning and teaching aids. The 3rd edition has been reorganized and enhanced with new material, making the book even more appealing to instructors regardless of the level they teach the course. Examples include moving the introductory chapter on Excel and MATLAB closer to the front of the book and adding an early chapter on practical design examples for the more introductory course, and including a final chapter on advanced topics for the purely graduate level course. Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable. Applications of the methods for structural, mechanical, aerospace and industrial engineering problems. Introduction to MATLAB Optimization Toolbox. Optimum design with Excel Solver has been expanded into a full chapter. Practical design examples introduce students to usage of optimization methods early in the book. New material on several advanced optimum design topics serves the needs of instructors teaching more advanced courses.

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Enhanced descriptions from Syndetics:

Introduction to Optimum Design, Third Edition describes an organized approach to engineering design optimization in a rigorous yet simplified manner. It illustrates various concepts and procedures with simple examples and demonstrates 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.

Machine generated contents note: Introduction to Design Optimization Optimum Design Problem Formulation Graphical Optimization and Basic Concepts Optimum Design Concepts: Optimality Conditions More on Optimum Design Concepts: Optimality Conditions Optimum Design with Excel Solver Optimum Design with MATLAB Linear Programming Methods for Optimum Design More on Linear Programming Methods for Optimum Design Numerical Methods for Unconstrained Optimum Design More on Numerical Methods for Unconstrained Optimum Design Numerical Methods for Constrained Optimum Design More on Numerical Methods for Constrained Optimum Design Practical Applications of Optimization Discrete Variable Optimum Design Concepts and Methods Genetic Algorithms for Optimum Design Multi-Objective Optimum Design Concepts and Methods Global Optimization Concepts and Methods Nature-Inspired Search Methods Additional Topics on Optimum Design Appendices.

Includes bibliographical references and index.

Introduction to Optimum Design 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 is to describe an organized approach to engineering design optimization in a rigorous yet simplified manner, illustrate various concepts and procedures with simple examples, and demonstrate 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 throughout as learning and teaching aids. The 3rd edition has been reorganized and enhanced with new material, making the book even more appealing to instructors regardless of the level they teach the course. Examples include moving the introductory chapter on Excel and MATLAB closer to the front of the book and adding an early chapter on practical design examples for the more introductory course, and including a final chapter on advanced topics for the purely graduate level course. Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable. Applications of the methods for structural, mechanical, aerospace and industrial engineering problems. Introduction to MATLAB Optimization Toolbox. Optimum design with Excel Solver has been expanded into a full chapter. Practical design examples introduce students to usage of optimization methods early in the book. New material on several advanced optimum design topics serves the needs of instructors teaching more advanced courses.

Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2011. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on Nov. 2, 2011). Access may be restricted to users at subscribing institutions.

Table of contents provided by Syndetics

Introduction to Design Optimization
Optimum Design Problem Formulation
Graphical Optimization and Basic Concepts
Optimum Design Concepts: Optimality Conditions
More on Optimum Design Concepts: Optimality Conditions
Optimum Design with Excel Solver
Optimum Design with MATLAB
Linear Programming Methods for Optimum Design
More on Linear Programming Methods for Optimum Design
Numerical Methods for Unconstrained Optimum Design
More on Numerical Methods for Unconstrained Optimum Design
Numerical Methods for Constrained Optimum Design
More on Numerical Methods for Constrained Optimum Design
Practical Applications of Optimization
Discrete Variable Optimum Design Concepts and Methods
Genetic Algorithms for Optimum Design
Multi-Objective Optimum Design Concepts and Methods
Global Optimization Concepts and Methods
Nature-Inspired Search Methods
Additional Topics on Optimum Design
Appendices

Author notes provided by Syndetics

Jasbir Singh Arora is an F. Wendell Miller Professor of Engineering, a Professor of Civil and Environmental Engineering, and a Professor of Mechanical and Industrial Engineering at the University of Iowa. He obtained his PhD in Mechanics and Hydraulics from the University of Iowa. Dr. Arora is the Associate Director of the Center for Computer Aided Design. He is a Senior Advisor for the International Journal of Structural and Multidisciplinary Optimization and he is on the Editorial Board of the International Journal for Numerical Methods in Engineering. He is a Fellow of the American Society of Civil Engineers and the American Society of Mechanical Engineers, and a Senior Member of the American Institute of Aeronautics and Astronautics. Dr. Arora is an internationally recognized researcher in the field of optimization and his book Introduction to Optimum Design, 3rd Edition (Academic Press, 2012, 978-0-12-381375-6) is used worldwide. Jasbir Singh Arora is an F. Wendell Miller Professor of Engineering, a Professor of Civil and Environmental Engineering, and a Professor of Mechanical and Industrial Engineering at the University of Iowa. He obtained his PhD in Mechanics and Hydraulics from the University of Iowa. Dr. Arora is the Associate Director of the Center for Computer Aided Design. He is a Senior Advisor for the International Journal of Structural and Multidisciplinary Optimization and he is on the Editorial Board of the International Journal for Numerical Methods in Engineering. He is a Fellow of the American Society of Civil Engineers and the American Society of Mechanical Engineers, and a Senior Member of the American Institute of Aeronautics and Astronautics. Dr. Arora is an internationally recognized researcher in the field of optimization and his book Introduction to Optimum Design, 3rd Edition (Academic Press, 2012, 978-0-12-381375-6) is used worldwide.