| 書目名稱 | Structural Optimization Using Shuffled Shepherd Meta-Heuristic Algorithm | | 副標(biāo)題 | Extensions and Appli | | 編輯 | Ali Kaveh,Ataollah Zaerreza | | 視頻video | http://file.papertrans.cn/881/880006/880006.mp4 | | 概述 | Presents a recently developed meta-heuristic algorithm, Shuffled Shepherd Optimization Algorithm.Explores applications of SSOA for various optimization problems in structures.Uses graph theoretical fo | | 叢書名稱 | Studies in Systems, Decision and Control | | 圖書封面 |  | | 描述 | .This book presents the so-called Shuffled Shepherd Optimization Algorithm (SSOA), a recently developed meta-heuristic algorithm by authors. There is always limitations on the resources to be used in the construction. Some of the resources used in the buildings are also detrimental to the environment. For example, the cement utilized in making concrete emits carbon dioxide, which contributes to the global warming. Hence, the engineers should employ resources efficiently and avoid the waste. In the traditional optimal design methods, the number of trials and errors used by the designer is limited, so there is no guarantee that the optimal design can be found for?structures. Hence, the deigning method should be changed, and the computational algorithms should be employed in the optimum design problems...The gradient-based method and meta-heuristic algorithms are the two different types of methods used to find the optimal solution. The gradient-based methods require gradientinformation. Also, these can easily be trapped in the local optima in the nonlinear and complex problems. Therefore, to overcome these issues, meta-heuristic algorithms are developed. These algorithms are simple an | | 出版日期 | Book 2023 | | 關(guān)鍵詞 | Civil Engineering; Meta-heuristic algorithms; Plasma Generation; Shuffled shepherd optimization algorit | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-25573-1 | | isbn_softcover | 978-3-031-25575-5 | | isbn_ebook | 978-3-031-25573-1Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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