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Title Evolutionary algorithms and metaheuristics in civil engineering and construction management / Jorge Magalhães-Mendes, David Greiner, editors
Published Cham : Springer, 2015
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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
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
Notes Includes author index
Online resource; title from PDF title page (SpringerLink, viewed July 17, 2015)
Subject Civil engineering -- Data processing.
Civil engineering -- Mathematical models.
Artificial intelligence -- Engineering applications.
Form Electronic book
Author Magalhães-Mendes, Jorge, editor
Greiner, David, editor
ISBN 331920405X (print)
3319204068 (electronic bk.)
9783319204055 (print)
9783319204062 (electronic bk.)