Design Optimization using MATLAB and SOLIDWORKS
Krishnan Suresh, University of Wisconsin
Cambridge University Press, 2021
ISBN: 9781108491600;
Language: English
Design Optimization using MATLAB and SOLIDWORKS emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into the Optimization Toolbox, and to link results from MATLAB with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates MATLAB for design optimization. A wide variety of optimization problems are covered including constrained non-linear, linear-programming, least-squares, multi-objective, and global optimization problems.
Features
- A practical and broad-ranging textbook, covering topics including truss optimization and shape optimization
- Starts with error-free analytic examples and builds up to real-world design problems, allowing students to understand practical numerical challenges, and solve them
- MATLAB code accompanies each chapter illustrating implementation of optimization algorithms, with students learning to extend these codes through exercises
Resources related to the book are also available for download.
