Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management / / edited by Jorge Magalhães-Mendes, David Greiner

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
• Edizione: 1st ed. 2015.
• Descrizione fisica: 1 online resource (132 p.)
• Disciplina: 620
• Soggetto topico: Civil engineering; Mechanics, Applied; Solids; Computational intelligence; Civil Engineering; Solid Mechanics; Computational Intelligence
• Persona (resp. second.): Magalhães-MendesJorge; GreinerDavid
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management
• ISBN: 3-319-20406-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299841303321
• Lo trovi qui: Univ. Federico II
• Serie: Computational Methods in Applied Sciences, . 2543-0203 ; ; 39