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Advances in Structural Engineering-Optimization - Emerging Trends in Structural Optimization (Hardcover, 1st ed. 2021): Sinan... Advances in Structural Engineering-Optimization - Emerging Trends in Structural Optimization (Hardcover, 1st ed. 2021)
Sinan Melih Nigdeli, Gebrail Bekdas, Aylin Ece Kayabekir, Melda Yucel
R5,236 Discovery Miles 52 360 Ships in 10 - 15 working days

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.

Advances in Structural Engineering-Optimization - Emerging Trends in Structural Optimization (Paperback, 1st ed. 2021): Sinan... Advances in Structural Engineering-Optimization - Emerging Trends in Structural Optimization (Paperback, 1st ed. 2021)
Sinan Melih Nigdeli, Gebrail Bekdas, Aylin Ece Kayabekir, Melda Yucel
R5,205 Discovery Miles 52 050 Ships in 10 - 15 working days

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.

Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures - Emerging Research and Opportunities... Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures - Emerging Research and Opportunities (Hardcover)
Aylin Ece Kayabekir, Gebrail Bekdas, Sinan Melih Nigdeli
R5,826 R3,437 Discovery Miles 34 370 Save R2,389 (41%) Ships in 9 - 15 working days

Reinforced concrete structures are one of the major structural types and must adhere to design regulation codes. It is ideal to find the best design (section dimension, material type, and amount of reinforcement) with the minimum cost providing the design constraints (design formulation considering loading of structure). Metaheuristic methods inspired by natural phenomena can consider design constraints by combining the analyses of formulation of reinforced concrete structures with an iterative numerical algorithm using several convergence options of random generation of candidate design solutions. Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities is a pivotal reference source that focuses on several metaheuristic algorithms and the design of several types of structural members. Additionally, retrofit applications and seismic design issues are considered for readers in earthquake zones. Highlighting a wide range of topics including algorithms, design variables, and retrofit design, this book is ideally designed for architects, engineers, urban designers, government officials, policymakers, researchers, academicians, and students.

Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures - Emerging Research and Opportunities... Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures - Emerging Research and Opportunities (Paperback)
Aylin Ece Kayabekir, Gebrail Bekda?, Sinan Melih Nigdeli
R4,290 Discovery Miles 42 900 Ships in 10 - 15 working days

Reinforced concrete structures are one of the major structural types and must adhere to design regulation codes. It is ideal to find the best design (section dimension, material type, and amount of reinforcement) with the minimum cost providing the design constraints (design formulation considering loading of structure). Metaheuristic methods inspired by natural phenomena can consider design constraints by combining the analyses of formulation of reinforced concrete structures with an iterative numerical algorithm using several convergence options of random generation of candidate design solutions. Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities is a pivotal reference source that focuses on several metaheuristic algorithms and the design of several types of structural members. Additionally, retrofit applications and seismic design issues are considered for readers in earthquake zones. Highlighting a wide range of topics including algorithms, design variables, and retrofit design, this book is ideally designed for architects, engineers, urban designers, government officials, policymakers, researchers, academicians, and students.

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