Soft Computing Approach for Mathematical Modeling of Engineering Problems

This book provides an overview of mathematical modeling and soft computing techniques used to solve practical engineering problems. It highlights the advantages of soft computing over traditional hard computing methods, and demonstrates how these techniques can be applied to various applications, such as bioengineering, drug delivery, inventory management, Industry 4.0, augmented reality, and weather forecasting. The authors discuss error approximation and common types of errors, and explain numerical methods and their convergence and consistency properties. The book is intended for system specialists, engineering students, researchers, and professionals in control and finite element fields.

Format: Paperback / softback
Length: 204 pages
Publication date: 25 September 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into diverse mathematical modeling and soft computing techniques, empowering engineers to solve practical engineering challenges effectively. Providing a comprehensive overview of the current landscape of soft computing, it highlights the advantages and disadvantages of these methods in comparison to traditional hard computing techniques. Through illustrative examples and case studies, the editors elucidate and demonstrate how numerical models and methodologies can address problems characterized by inherent uncertainty, ultimately leading to their resolution.

The chapters encompass a wide range of applications and scenarios, spanning bioengineering science, drug delivery, inventory management, Industry 4.0, augmented reality, and weather forecasting. Additional examples include the resolution of fuzzy-shortest-path problems through the introduction of novel distance and ranking functions. Recognizing the reality of problems arising with uncertain data in practice, the primary objective of this book is to develop models that deliver solutions through numerical methods. This drives the investigation of soft numerical computing in dynamic systems.

In the spirit of this, the authors and editors have carefully considered the issue of approximation error, discussing various common types of errors and their propagation. Moreover, they have expounded on numerical methods, emphasizing their convergence and consistency properties, as well as their unique characteristics within the context of soft computing.

At the core of this book lies the exploration of dynamic models, recognizing the pivotal role of time in shaping the structure of models, data, and the comprehension of process dynamics. By examining these models, engineers gain insights into the intricate interplay between time and the underlying phenomena, enabling them to develop more accurate and efficient solutions to complex engineering problems.

In summary, this book serves as a valuable resource for engineers, researchers, and students seeking to leverage mathematical modeling and soft computing to address real-world engineering challenges. It provides a comprehensive understanding of these techniques, their applications, and their potential for driving innovation and progress in various industries.

Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367686345