Hybrid Metaheuristics In Structural Engineering PDF Download
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Author | : Gebrail Bekdaş |
Publisher | : Springer Nature |
Total Pages | : 306 |
Release | : 2023-06-15 |
Genre | : Technology & Engineering |
ISBN | : 3031347285 |
Download Hybrid Metaheuristics in Structural Engineering Book in PDF, ePub and Kindle
From the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence. This book is a timely book to summarize the latest developments in the optimization of structural engineering systems covering all classical approaches and new trends including hybrids metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. The main objective of this book is to introduce the fundamentals and current development of methods and their applications in structural engineering.
Author | : Yusuf Cengiz Toklu |
Publisher | : John Wiley & Sons |
Total Pages | : 258 |
Release | : 2021-06-25 |
Genre | : Technology & Engineering |
ISBN | : 1119849071 |
Download Metaheuristics for Structural Design and Analysis Book in PDF, ePub and Kindle
Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles of topology, shape and size optimization of structures, and applications of metaheuristic algorithms in solving structural design problems. Analysis of structures using metaheuristic algorithms is also discussed. Comparisons are made with classical methods and modern computational methods through metaheuristic algorithms. The book is designed for senior structural engineering students, graduate students, academicians and practitioners.
Author | : Yusuf Cengiz Toklu |
Publisher | : John Wiley & Sons |
Total Pages | : 258 |
Release | : 2021-07-21 |
Genre | : Technology & Engineering |
ISBN | : 1786302349 |
Download Metaheuristics for Structural Design and Analysis Book in PDF, ePub and Kindle
Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles of topology, shape and size optimization of structures, and applications of metaheuristic algorithms in solving structural design problems. Analysis of structures using metaheuristic algorithms is also discussed. Comparisons are made with classical methods and modern computational methods through metaheuristic algorithms. The book is designed for senior structural engineering students, graduate students, academicians and practitioners.
Author | : Xin-She Yang |
Publisher | : Newnes |
Total Pages | : 577 |
Release | : 2013-01-31 |
Genre | : Technology & Engineering |
ISBN | : 0123983797 |
Download Metaheuristic Applications in Structures and Infrastructures Book in PDF, ePub and Kindle
Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence. Review of the latest development of metaheuristics in engineering. Detailed algorithm descriptions with focus on practical implementation. Uses practical case studies as examples and applications.
Author | : Sinan Melih Nigdeli |
Publisher | : Springer Nature |
Total Pages | : 310 |
Release | : 2020-12-04 |
Genre | : Technology & Engineering |
ISBN | : 303061848X |
Download Advances in Structural Engineering—Optimization Book in PDF, ePub and Kindle
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.
Author | : Mohammed Ghasem Sahab |
Publisher | : Elsevier Inc. Chapters |
Total Pages | : 568 |
Release | : 2013-01-31 |
Genre | : Technology & Engineering |
ISBN | : 0128066253 |
Download Metaheuristic Applications in Structures and Infrastructures Book in PDF, ePub and Kindle
Author | : Amir Hossein Gandomi |
Publisher | : |
Total Pages | : 578 |
Release | : 2013-02-19 |
Genre | : |
ISBN | : 9780323282710 |
Download Metaheuristic Applications in Structures and Infrastructures Book in PDF, ePub and Kindle
Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence. Review of the latest development of metaheuristics in engineering. Detailed algorithm descriptions with focus on practical implementation. Uses practical case studies as examples and applications.
Author | : Xin-She Yang |
Publisher | : Springer |
Total Pages | : 302 |
Release | : 2015-12-10 |
Genre | : Technology & Engineering |
ISBN | : 3319262459 |
Download Metaheuristics and Optimization in Civil Engineering Book in PDF, ePub and Kindle
This timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization problems in civil engineering. The first chapter offers a concise overview of different kinds of metaheuristic algorithms, explaining their advantages in solving complex engineering problems that cannot be effectively tackled by traditional methods, and citing the most important works for further reading. The remaining chapters report on advanced studies on the applications of certain metaheuristic algorithms to specific engineering problems. Genetic algorithm, bat algorithm, cuckoo search, harmony search and simulated annealing are just some of the methods presented and discussed step by step in real-application contexts, in which they are often used in combination with each other. Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate students, researchers and professionals willing to applying metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering. It is also a valuable aid for both lectures and advanced engineering students.
Author | : Anand J. Kulkarni |
Publisher | : CRC Press |
Total Pages | : 419 |
Release | : 2021-09-01 |
Genre | : Computers |
ISBN | : 1000434249 |
Download Handbook of AI-based Metaheuristics Book in PDF, ePub and Kindle
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.
Author | : Serdar Carbas |
Publisher | : Springer Nature |
Total Pages | : 420 |
Release | : 2021-03-31 |
Genre | : Technology & Engineering |
ISBN | : 9813367733 |
Download Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications Book in PDF, ePub and Kindle
This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.