Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management (eBook) von Jorge Magalhães-Mendes
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ISBN-13:
9783319204062
Veröffentl:
2015
Einband:
eBook
Seiten:
127
Autor:
Jorge Magalhães-Mendes
Serie:
39, Computational Methods in Applied Sciences
eBook Format:
PDF
eBook-Typ:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Inhaltsverzeichnis
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.
Beschreibung
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.
Schlagwörter zu:
Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management von Jorge Magalhães-Mendes - mit der ISBN: 9783319204062
Civil Engineering Optimum Design; Construction Management Optimum Design; ECCOMAS ECCM 2014; ECCOMAS Evolutionary PDEs; ECFD VI; Evolutionary Algorithms Civil Engineering Applications; HONOM-2015; Metaheuristics Civil Engineering Applications; WCCM XI; B; Civil Engineering; Computational Intelligence; Solid Mechanics; Engineering, Online-Buchhandlung
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