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Advances in Structural Engineering—Optimization

Sinan Melih Nigdeli
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      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.
      Format: Hardback CONTRIBUTORS: Sinan Melih Nigdeli EAN: 9783030618476 COUNTRY: Switzerland PAGES: WEIGHT: 647 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2020-12-05 CITY: GENRE: TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Civil / General WIDTH: 155 cm SPINE:

      Book Themes:

      Civil engineering, surveying and building, Artificial intelligence

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      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.
      Format: Hardback CONTRIBUTORS: Sinan Melih Nigdeli EAN: 9783030618476 COUNTRY: Switzerland PAGES: WEIGHT: 647 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2020-12-05 CITY: GENRE: TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Civil / General WIDTH: 155 cm SPINE:

      Book Themes:

      Civil engineering, surveying and building, Artificial intelligence

      Customer Reviews

      Be the first to write a review
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