Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

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Details

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.

Recent state of the art in evolutionary optimization methods for civil and structural engineering design Applications include civil engineering, structural engineering, acoustics, construction management, mechanics, and modeling with boundary and finite element methods Focused research of interest for the civil and structural engineer researcher and or practitioner Includes supplementary material: sn.pub/extras

Inhalt
On-line metamodel-assisted optimization with mixed variables.- Comparing the fully stressed design and the minimum constrained weight solutions in truss structures.- Multiobjective optimization of time-cost using a multi-mode genetic algorithm.- On efficiency increase of evoluationary algorithms for large non-linear constrained optimization problems with applications to mechanics.- Lightweight optimization for additive manufacturing parts based on genetic algorithms, metamodels and infinite element analysis.-Calibration of dynamic models of railway bridges based on genetic algorithms.- A procedure for improving the acoustic efficiency of top-edge devices on noise barriers: an application of genetic algorithms and boundary elements.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319373218
    • Anzahl Seiten 127
    • Lesemotiv Verstehen
    • Genre Environmental Technology
    • Auflage Softcover reprint of the original 1st ed. 2015
    • Editor Jorge Magalhães-Mendes, David Greiner
    • Herausgeber Springer, Berlin
    • Gewicht 2234g
    • Größe H235mm x B155mm
    • Jahr 2016
    • EAN 9783319373218
    • Format Kartonierter Einband
    • ISBN 978-3-319-37321-8
    • Veröffentlichung 17.10.2016
    • Titel Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management
    • Untertitel Computational Methods in Applied Sciences 39
    • Sprache Englisch

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