Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

by Jorge Magalhães-Mendes (Editor), David Greiner (Editor)

Overview

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.

Product Details

ISBN-13:	9783319373218
Publisher:	Springer International Publishing
Publication date:	07/21/2016
Series:	Computational Methods in Applied Sciences , #39
Edition description:	Softcover reprint of the original 1st ed. 2015
Pages:	127
Product dimensions:	6.10(w) x 9.25(h) x 0.01(d)

Table of 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.