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Evolutionary algorithms and metaheuristics in civil engineering and construction management / edited by Jorge Magalhães-Mendes, David Greiner.

Colaborador(es): Tipo de material: TextoTextoSeries Computational Methods in Applied Sciences ; 39Editor: Cham : Springer International Publishing : Springer, 2015Edición: 1st ed. 2015Descripción: x, 127 páginas : 66 ilustracionesTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783319204062
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • TA1-2040
Recursos en línea:
Contenidos:
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.
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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.

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