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Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management [electronic resource] / edited by Jorge Magalh�aes-Mendes, David Greiner.

Contributor(s): Magalh�aes-Mendes, Jorge [editor.] | Greiner, David [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Computational Methods in Applied Sciences: 39Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015.Description: X, 127 p. 66 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319204062.Subject(s): Engineering | Computational intelligence | Structural mechanics | Civil engineering | Engineering | Civil Engineering | Structural Mechanics | Computational IntelligenceAdditional physical formats: Printed edition:: No titleDDC classification: 624 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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