Advanced Optimization Applications in Engineering

ISBN 13: 9798369321614
Published by IGI Global, 2024
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In the ever-evolving landscape of engineering, a pressing challenge looms large―the need to navigate the complexities of modern problems with precision and efficiency. As industries grapple with an array of intricate issues, from sustainable materials to resilient infrastructure, the demand for optimal solutions has never been more pronounced. Traditional approaches are often inadequate, prompting the search for advanced optimization techniques capable of unraveling the intricacies inherent in engineering systems. The problem at hand is clear: how can engineers, researchers, and practitioners harness cutting-edge methodologies to address the multifaceted challenges shaping our technological future? Advanced Optimization Applications in Engineering, is a definitive guide poised to revolutionize problem-solving in civil engineering. This book offers a comprehensive exploration of state-of-the-art optimization algorithms and their transformative applications. By delving into genetic algorithms, particle swarm optimization, neural networks, and other metaheuristic strategies, this collection provides a roadmap for automating design processes, reducing costs, and unlocking innovative solutions. The chapters not only introduce these advanced techniques but also showcase their practical implementation across diverse engineering domains, making this book an indispensable resource for those seeking to stay at the forefront of technological advancements. This book is tailored for a discerning audience comprising engineers, academicians, researchers, practitioners, and students eager to leverage advanced optimization, artificial intelligence, and machine learning in civil engineering. While not a conventional textbook, it offers a rich tapestry of insights suitable for postgraduate courses focused on contemporary methods in civil engineering. Beyond academia, professionals in insurance, government, civil protection, and emergency management will find invaluable guidance for assessing and planning community resilience. As the global skills gap widens, this book is a solution-oriented guide for individuals and organizations to move toward a future where technology and engineering seamlessly converge for unparalleled problem-solving.

About the Author: Afaq Ahmad is a highly ambitious, innovative, and hardworking professional engineer with over 15 years of combined experience in design and research. Currently, he is working as a Visiting Research Fulbright Fellow, at the University of Memphis, TN USA. Founder of Scotant Engineer Consultant and member of Opti-Structure International. Currently, his research group is working on structural health monitoring through CNN and Image processing, and prediction of reinforced concrete and composite material through Artificial Neural Networks. His published research work contains 60 peer-reviewed journal papers and 30 papers in international and national conferences, with a cumulative impact factor of 90+.

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Title: Advanced Optimization Applications in ...
Publisher: IGI Global
Publication Date: 2024
Binding: Hardcover
Condition: New

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Venkata Rao, Ravipudi
Published by Cham, Springer., 2019
ISBN 10: 331978921X ISBN 13: 9783319789217
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Venkata Rao, Ravipudi:
ISBN 10: 331978921X ISBN 13: 9783319789217
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Book. 1st edition 2019. geb., ill.HC., 333 S., sehr guter Zustand. Die Lieferung erfolgt gegen Vorauskasse This book introduces readers to the "Jaya" algorithm, an advanced optimization technique that can be applied to many physical and engineering systems. It describes the algorithm, discusses its differences with other advanced optimization techniques, and examines the applications of versions of the algorithm in mechanical, thermal, manufacturing, electrical, computer, civil and structural engineering. (Deckeltext) Analytical or numerical methods for calculating the extreme values of a function have been applied to computational engineering for many years now. Although these methods may perform well in many practical cases, they may fail in more complex design-optimization situations. In real complex optimization problems, the number of parameters to be optimized can be very large and their influence on the value to be optimized (the goal function) can be very complicated and nonlinear in character. Such problems cannot be solved using classical methods and advanced optimization methods need to be applied. The Jaya algorithm is an algorithm-specific parameter-less algorithm that builds on other advanced optimization techniques, in particular the author's own teaching-learning-based optimization (TLBO) as discussed in his previous book, Rao, "Teaching Learning Based Optimization Algorithm and its Engineering Applications", Springer (2016). The application of Jaya in several engineering disciplines is critically assessed and its success compared with other complex optimization techniques such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), and other recently developed algorithms. Algorithms and computer codes for several versions of the Jaya algorithm are included in the book, which offer a valuable guide for all practicing engineers, technical managers and researchers interested in the state-of-the-art of optimization techniques in mechanical, thermal, manufacturing, electrical, computer, civil and structural engineering. (Deckeltext) V30382C4 ISBN 9783319789217 Gemäß §19 UStG weist dieser Verkäufer keine Mehrwertsteuer aus (Kleinunternehmerstatus). Aufgrund der EPR-Regelung kann in folgende Länder KEINE LIEFERUNG mehr erfolgen: Bulgarien, Finnland, Frankreich, Griechenland, Luxemburg, Österreich, Polen, Rumänien, Schweden, Slowakei, Spanien Sprache: Englisch Gewicht in Gramm: 694. Seller Inventory # 37807

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