Designing Engineering Structures using Stochastic Optimization Methods

Design is the most important step in engineering, and mathematical optimization methods are necessary to manage design issues. Stochastic optimization methods such as differential evolution, simulated annealing, and genetic algorithms are preferable for finding solutions in design optimization problems. This book reviews mechanical engineering design optimization using stochastic methods, introducing students and design engineers to practical aspects of complicated mathematical optimization procedures and outlining steps for a wide range of selected engineering design problems. It also covers new engineering design applications based on stochastic optimization techniques in automotive, energy, military, naval, manufacturing process, and fluids-heat transfer.

Format: Paperback / softback
Length: 236 pages
Publication date: 29 April 2022
Publisher: Taylor & Francis Ltd

Design is the most crucial phase in the engineering process when creating a new product. A systematic approach to managing design challenges can only be achieved by employing mathematical optimization techniques. However, due to the practical complexities inherent in engineering problems, traditional methods have certain limitations. As a result, stochastic optimization methods, such as differential evolution, simulated annealing, and genetic algorithms, are preferred for finding solutions in design optimization problems. This book provides a comprehensive review of mechanical engineering design optimization using stochastic methods. It aims to introduce students and design engineers to practical aspects of complex mathematical optimization procedures and guide them through the solution of a wide range of selected engineering design problems. The book demonstrates how engineering structures are meticulously designed. Furthermore, it showcases numerous innovative engineering design applications based on stochastic optimization techniques in automotive, energy, military, naval, manufacturing processes, and fluids-heat transfer. For each design optimization problem described, background information is provided to facilitate understanding of the solutions.

Unfortunately, there are limited books available on optimization that encompass engineering applications. These books primarily cover well-known design problems of advanced and niche nature, with limited coverage of common problems. As a result, the subject has remained relatively theoretical, lacking practical applications. To address this issue, each chapter in this book is contributed by at least one academic and one industrial expert researcher. This collaboration ensures that the content is both academically rigorous and relevant to industry practices. By combining the expertise of these researchers, the book provides a comprehensive and practical guide to mechanical engineering design optimization using stochastic methods. It is an invaluable resource for students, design engineers, and professionals seeking to enhance their understanding and expertise in this field.

Weight: 435g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367510022