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Optimization Techniques in Engineering
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Optimization Techniques in Engineering : Advances and Applications

Book Details

Format Hardback or Cased Book
Book Series Sustainable Computing and Optimization
ISBN-10 111990627X
ISBN-13 9781119906278
Publisher John Wiley & Sons Inc
Imprint Wiley-Scrivener
Country of Manufacture US
Country of Publication GB
Publication Date May 23rd, 2023
Print length 544 Pages
Weight 953 grams
Product Classification: Electronics & communications engineering Artificial intelligence
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OPTIMIZATION TECHNIQUES IN ENGINEERING The book describes the basic components of an optimization problem along with the formulation of design problems as mathematical programming problems using an objective function that expresses the main aim of the model, and how it is to be either minimized or maximized; subsequently, the concept of optimization and its relevance towards an optimal solution in engineering applications, is explained. This book aims to present some of the recent developments in the area of optimization theory, methods, and applications in engineering. It focuses on the metaphor of the inspired system and how to configure and apply the various algorithms. The book comprises 30 chapters and is organized into two parts: Part I — Soft Computing and Evolutionary-Based Optimization; and Part II — Decision Science and Simulation-Based Optimization, which contains application-based chapters. Readers and users will find in the book: An overview and brief background of optimization methods which are used very popularly in almost all applications of science, engineering, technology, and mathematics;An in-depth treatment of contributions to optimal learning and optimizing engineering systems;Maps out the relations between optimization and other mathematical topics and disciplines;A problem-solving approach and a large number of illustrative examples, leading to a step-by-step formulation and solving of optimization problems. Audience Researchers, industry professionals, academicians, and doctoral scholars in major domains of engineering, production, thermal, electrical, industrial, materials, design, computer engineering, and natural sciences. The book is also suitable for researchers and postgraduate students in mathematics, applied mathematics, and industrial mathematics.

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