Evolutionary algorithms and metaheuristics in civil engineering and construction management /

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Bibliographic Details
Imprint:Cham : Springer, 2015.
©2015
Description:1 online resource (x, 127 pages) : illustrations.
Language:English
Series:Computational methods in applied sciences, 1871-3033 ; volume 39
Computational methods in applied sciences (Springer (Firm)) ; volume 39.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11095146
Hidden Bibliographic Details
Other authors / contributors:Magalhães-Mendes, Jorge, editor.
Greiner, David, editor.
ISBN:9783319204062
3319204068
331920405X
9783319204055
9783319204055
Notes:Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed July 17, 2015).
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 form:Printed edition: 9783319204055
Standard no.:10.1007/978-3-319-20406-2

MARC

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505 0 |a 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. 
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