Optimization Techniques in Engineering: Advances and Applications

The book discusses optimization techniques in engineering, including the components of an optimization problem, formulation as mathematical programming problems, and their relevance to optimal solutions. It covers soft computing, evolutionary-based optimization, decision science, and simulation-based optimization with application-based chapters. The audience includes researchers, industry professionals, academics, and doctoral scholars in engineering and related fields.

Format: Hardback
Length: 544 pages
Publication date: 23 May 2023
Publisher: John Wiley & Sons Inc

This comprehensive book delves into the realm of optimization techniques in engineering, providing a comprehensive overview of the fundamental components of optimization problems and their formulation as mathematical programming challenges. It explains how the objective function, representing the main aim of the model, is minimized or maximized to achieve an optimal solution. The book explores the concept of optimization and its immense relevance in engineering applications, highlighting its ability to solve complex problems and optimize systems.

The book is divided into two parts: Part I — Soft Computing and Evolutionary-Based Optimization, and Part II — Decision Science and Simulation-Based Optimization. Each part offers a rich tapestry of knowledge, covering topics such as soft computing, evolutionary algorithms, genetic algorithms, neural networks, and optimization in various engineering domains. The chapters in these parts are organized into application-based chapters, making it easier for readers to apply the optimization techniques to real-world problems.

With 30 chapters and an extensive bibliography, this book serves as a valuable resource for researchers, industry professionals, academics, and doctoral scholars in diverse engineering disciplines. It offers a thorough understanding of optimization methods, their applications, and their connections to other mathematical topics and disciplines. The problem-solving approach and numerous illustrative examples guide readers step by step through the formulation and solution of optimization problems, making it an essential tool for anyone seeking to enhance their skills in this field.

Whether you are a seasoned engineer or a student embarking on a research journey, this book will provide you with the knowledge and tools necessary to excel in optimization and contribute to the advancement of engineering systems.

Weight: 953g
ISBN-13: 9781119906278