Design Optimization using MATLAB and SOLIDWORKS

This textbook provides a hands-on approach to optimization techniques, emphasizing conceptual understanding and the importance of theorems. It demonstrates applications in error-free analytic examples, truss (size) optimization, 2D and 3D shape optimization, and discusses the principle of minimum potential energy. MATLAB code in every chapter illustrates key concepts and the coupling between MATLAB and SOLIDWORKS for design optimization.

Format: Hardback
Length: 394 pages
Publication date: 29 April 2021
Publisher: Cambridge University Press

This textbook offers a unique approach to learning optimization techniques by seamlessly integrating numerics, mathematics, and applications. It prioritizes conceptual understanding and the significance of theorems over extensive proofs, making it accessible to students with a mathematical background. The text enables students to develop fundamental optimization methods before exploring MATLAB's optimization toolbox, allowing them to connect MATLAB's results with their own code. The book adopts a practical approach, showcasing various applications ranging 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 emphasize the profound connection between engineering and optimization. MATLAB code is provided in each chapter to illustrate key concepts and demonstrate the integration between MATLAB and SOLIDWORKS® for design optimization. A comprehensive range of optimization problems, including constrained non-linear, linear programming, least-squares, multi-objective, and global optimization problems, are covered.

Introduction:
Optimization is a fundamental tool in engineering and science that plays a crucial role in designing efficient systems and solving complex problems. This textbook aims to provide a comprehensive and hands-on approach to optimization, focusing on conceptual understanding and practical applications.

Key Features:

• Mathematically Accessible: The text is designed to be accessible to students with a mathematical background, including those from fields such as engineering, mathematics, and computer science.


• Conceptual Understanding: Emphasizes conceptual understanding and the importance of theorems rather than elaborate proofs.


• Practical Approach: Follows a practical approach, demonstrating several applications from error-free analytic examples to truss (size) optimization and 2D and 3D shape optimization.


• MATLAB Integration: Includes MATLAB code in every chapter to illustrate key concepts and demonstrate the coupling between MATLAB and SOLIDWORKS® for design optimization.


• Wide Variety of Optimization Problems: Covers a wide variety of optimization problems, including constrained non-linear, linear programming, least-squares, multi-objective, and global optimization problems.

Benefits:

• Enhanced Problem-Solving Skills: By learning optimization techniques, students will develop the ability to solve complex problems efficiently and effectively.


• Improved Design Efficiency: Optimization can help engineers and scientists design systems that are optimized for performance, cost, and sustainability.


• Competitive Advantage: In today's competitive industry, having a strong understanding of optimization can give students a competitive advantage in their career.


• Broad Applications: Optimization techniques are applicable in a wide range of fields, including engineering, finance, operations research, and computer science.

Conclusion:
This textbook offers a valuable resource for students seeking to learn optimization techniques and apply them in their academic and professional endeavors. With its mathematical accessibility, practical approach, and MATLAB integration, it provides a solid foundation for developing fundamental optimization methods and applying them to real-world problems.

Weight: 952g
Dimension: 259 x 184 x 28 (mm)
ISBN-13: 9781108491600