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Cover Art
E-RESOURCE

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

Published Cham : Springer, 2015.
©2015

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (x, 127 pages) : illustrations.
Series Computational methods in applied sciences, 1871-3033 ; volume 39
Computational methods in applied sciences (Springer (Firm)) ; volume 39.
Springer English/International eBooks 2015 - Full Set
Notes Includes author index.
Contents 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.
Summary 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.
Other author Magalhães-Mendes, Jorge, editor.
Greiner, David, editor.
SpringerLink issuing body.
Subject Civil engineering -- Data processing.
Civil engineering -- Mathematical models.
Artificial intelligence -- Engineering applications.
Electronic books.
Electronic books.
ISBN 9783319204062
3319204068
9783319204055
331920405X (print)
9783319204055 (print)
Standard Number 10.1007/978-3-319-20406-2