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Advances in structural engineering--...

Nigdeli, Sinan Melih.

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Advances in structural engineering--optimization = emerging trends in structural optimization /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in structural engineering--optimization/ edited by Sinan Melih Nigdeli ... [et al.].
其他題名:	emerging trends in structural optimization /
其他作者:	Nigdeli, Sinan Melih.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	viii, 310 p. :ill., digital ;24 cm.
內容註:	Developments on Metaheuristic-Based Optimization in Structural Engineering -- Current Trends in the Optimization Approaches for Optimal Structural Control -- Statistical Evaluation of Metaheuristic Algorithm: An Optimum Reinforced Concrete T-Beam Problem.
Contained By:	Springer Nature eBook
標題:	Structural optimization - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-61848-3
ISBN:	9783030618483

Advances in structural engineering--optimization = emerging trends in structural optimization /
Advances in structural engineering--optimizationemerging trends in structural optimization /[electronic resource] :edited by Sinan Melih Nigdeli ... [et al.]. - Cham :Springer International Publishing :2021. - viii, 310 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.3262198-4182 ;. - Studies in systems, decision and control ;v.326..

Developments on Metaheuristic-Based Optimization in Structural Engineering -- Current Trends in the Optimization Approaches for Optimal Structural Control -- Statistical Evaluation of Metaheuristic Algorithm: An Optimum Reinforced Concrete T-Beam Problem.

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.

ISBN: 9783030618483

Standard No.: 10.1007/978-3-030-61848-3doiSubjects--Topical Terms:

3488681
Structural optimization
--Data processing.

LC Class. No.: TA658.8

Dewey Class. No.: 624.17713

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