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Titlebook: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management; Jorge Magalh?es-Mendes,David Greiner Book 201

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書目名稱Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management
編輯Jorge Magalh?es-Mendes,David Greiner
視頻videohttp://file.papertrans.cn/318/317810/317810.mp4
概述Recent state of the art in evolutionary optimization methods for civil and structural engineering design.Applications include civil engineering, structural engineering, acoustics, construction managem
叢書名稱Computational Methods in Applied Sciences
圖書封面Titlebook: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management;  Jorge Magalh?es-Mendes,David Greiner Book 201
描述This book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented?at the? minisymposium organized by the editors at the ECCOMAS conference on this topic in Barcelona 2014.
出版日期Book 2015
關(guān)鍵詞Civil Engineering Optimum Design; Construction Management Optimum Design; ECCOMAS ECCM 2014; ECCOMAS Ev
版次1
doihttps://doi.org/10.1007/978-3-319-20406-2
isbn_softcover978-3-319-37321-8
isbn_ebook978-3-319-20406-2Series ISSN 1871-3033 Series E-ISSN 2543-0203
issn_series 1871-3033
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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沙發(fā)
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1871-3033 ing, structural engineering, acoustics, construction managemThis book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented?at the? minisymposium organized by the editors at th
地板
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,Computergestützte Lernumgebung,ating the formulation and on the basis of simulations on noise barriers with complex diffuser-type tops by using a 2D Dual BEM code. Results obtained show the suitability of idealizing complex barrier configurations as models featuring thickness and non-thickness boundaries.
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On Efficiency Increase of Evolutionary Algorithms for Large Non-linear Constrained Optimization Prolysis of chosen speed-up techniques using several simple but demanding benchmark problems, including residual stress analysis in elastic-plastic bodies under cyclic loadings. Preliminary results obtained for numerical tests are encouraging and show a clear possibility of practical application of the improved EA to large optimization problems.
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Lightweight Optimization for Additive Manufacturing Parts Based on Genetic Algorithms, Metamodels a) simulations is proposed to optimize the cellular structure design and minimize the weight for AM parts. New optimization strategies based on GAs combined with surrogate models are evaluated and compared to reduce as much as possible the number of FEM simulations.
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