Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Magalhães-Mendes, Jorge (Επιμελητής έκδοσης), Greiner, David (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Computational Methods in Applied Sciences, 39
• Θέματα: Engineering.; Computational intelligence.; Structural mechanics.; Civil engineering.; Civil Engineering.; Structural Mechanics.; Computational Intelligence.

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.

Πίνακας περιεχομένων:

• 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.