Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management [electronic resource] /
edited by Jorge Magalh�aes-Mendes, David Greiner.
- 1st ed. 2015.
- X, 127 p. 66 illus. online resource.
- Computational Methods in Applied Sciences, 39 1871-3033 ; .
- Computational Methods in Applied Sciences, 39 .
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.
9783319204062
10.1007/978-3-319-20406-2 doi
Engineering.
Computational intelligence.
Structural mechanics.
Civil engineering.
Engineering.
Civil Engineering.
Structural Mechanics.
Computational Intelligence.
TA1-2040
624
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.
9783319204062
10.1007/978-3-319-20406-2 doi
Engineering.
Computational intelligence.
Structural mechanics.
Civil engineering.
Engineering.
Civil Engineering.
Structural Mechanics.
Computational Intelligence.
TA1-2040
624