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Evolutionary algorithms and metaheur...

Greiner, David.

Evolutionary algorithms and metaheuristics in civil engineering and construction management

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolutionary algorithms and metaheuristics in civil engineering and construction managementedited by Jorge Magalhaes-Mendes, David Greiner.
other author:	Magalhaes-Mendes, Jorge.
Published:	Cham :Springer International Publishing :2015.
Description:	x,127 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Civil engineeringData processing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-20406-2
ISBN:	9783319204062 (electronic bk.)

Evolutionary algorithms and metaheuristics in civil engineering and construction management
Evolutionary algorithms and metaheuristics in civil engineering and construction management[electronic resource] /edited by Jorge Magalhaes-Mendes, David Greiner. - Cham :Springer International Publishing :2015. - x,127 p. :ill., digital ;24 cm. - Computational methods in applied sciences,v.391871-3033 ;. - Computational methods in applied sciences ;v.9..

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.

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.

ISBN: 9783319204062 (electronic bk.)

Standard No.: 10.1007/978-3-319-20406-2doiSubjects--Topical Terms:

199279
Civil engineering
--Data processing.

LC Class. No.: TA345

Dewey Class. No.: 624.0285

Evolutionary algorithms and metaheuristics in civil engineering and construction management
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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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