Advanced Optimization Applications in Engineering - Rilegato

Rilegato

ISBN 13: 9798369321614

Casa editrice: IGI Global, 2024

Riassunto

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.

Su questo libro

Informazioni sull?autore

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+.

Dettagli dell'edizione

• Editore: IGI Global
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 13: 9798369321614
• Rilegatura: Tapa dura
• Numero di pagine: 316
• Redattore: Ahmad Afaq, Camp Charles V.
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile