Title
Optimization of bridges reinforcement by conversion to tied arch using an animal migration algorithm
Date Issued
01 January 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
Morales A.
Crawford B.
Lemus-Romani J.
Astorga G.
Salas-Fernández A.
Rubio J.
Pontificia Universidad Católica de Valparaíso
Publisher(s)
Springer Verlag
Abstract
Nowadays there are studies that show that bridges collapse mainly by scour caused by hydraulic action which implies high reconstruction costs. We can avoid the collapse of the bridge, reinforcing it by means of a system of cable-stayed arches, which will make it possible to hold the deck and eliminate the damaged elements. To this end, it is necessary to optimize the order and the magnitudes of adjustment of the tension of the hangers. In this paper, the use of the Animal Migration Optimization algorithm is proposed for the search of an optimal solution in a gradual way, which consists of two processes: the simulation of how groups of animals move from a current position to a new, and how during migration some animals leave the group and join others. Finally, we present experimental results, where the performance of the Animal Migration Optimization algorithm can be observed.
Start page
827
End page
834
Volume
11606 LNAI
Language
English
OCDE Knowledge area
Ingeniería civil
Subjects
Scopus EID
2-s2.0-85068596256
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Resource of which it is part
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
ISBN of the container
978-303022998-6
Conference
32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019
Sponsor(s)
Acknowledgements. Broderick Crawford is supported by Grant CONICYT/ FONDECYT/REGULAR/1171243, Ricardo Soto is supported by Grant CONICYT /FONDECYT /REGULAR/1190129, Gino Astorga is supported by Postgraduate Grant Pontificia Universidad Católica de Valparáıso 2015, JoséLemus is Beneficia-rio Beca Postgrado PUCV 2018. This work was funded by the CONICYT PFCHA/ DOCTORADO BECAS NACIONAL/2019 - 21191692.
Sources of information:
Directorio de Producción Científica
Scopus