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Advanced Optimization Applications in Engineering

معرفی کتاب «Advanced Optimization Applications in Engineering» نوشتهٔ Afaq Ahmad; Charles V. Camp، منتشرشده توسط نشر IGI Global در سال 2024. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است. «Advanced Optimization Applications in Engineering» در دستهٔ بدون دسته‌بندی قرار دارد.

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. Title Page Copyright Page Book Series Table of Contents Detailed Table of Contents Preface Chapter 1: Estimating the In-Plane Lateral Resistance of Reinforced Log Wall Employing Soft Modelling Techniques Chapter 2: Finding Width, Angle, Endpoint Length, and Actual Path Length of Cracks in Concrete Structures Using CNN and Image Processing Chapter 3: Teaching-Learning-Based Optimization for Ground Motion Selection Chapter 4: Rapid Analysis of CFRP-Reinforced Concrete Structures Using Artificial Neural Networks Chapter 5: Evaluating Cost-Optimality of High-Rise Buildings by Considering Outdoor Air Rates in TS825 Standard Chapter 6: A Review of Metaheuristic-Based Optimum Design of Reinforced Concrete Structures Chapter 7: A Review of Optimization of Structural Control Systems Chapter 8: Predicting the Characteristics of Defects in Wood Structures Using Image Processing and CNN Chapter 9: Automating the Seismic Design of Reinforced Concrete Rectangular Columns Employing Multi-Expression Programming Compilation of References Related References About the Contributors Index
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