Title
Bridges Reinforcement Through Conversion of Tied-Arch Using Crow Search Algorithm
Date Issued
01 January 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
Valdivia S.
Crawford B.
Lemus-Romani J.
Astorga G.
Misra S.
Salas-Fernández A.
Rubio J.M.
Pontificia Universidad Católica de Valparaíso
Publisher(s)
Springer Verlag
Abstract
The bridges reinforcement is an expensive activity. In this line, new cheap ways to fix bridges have been developed. One of them is the bridges reinforcement through conversion of the cable-stayed arch. The main aim is minimizing the distances between the tensions of each lengthwise position between the original bridge and the bridge with the reinforcement by the cable-stayed arch. For that, it is necessary to know the order that the tension must be applied. In this paper, we resolve this problem by using a recent metaheuristic called Crow Search Algorithm which is based on the intelligent behavior of crows, this approach is inspired by the feature of crows to hide their excess food. The obtained results are compared other approximate techniques by using a well-known statistical test. Promising results reveal that this new algorithm is competitive to solve the proposed problem.
Start page
525
End page
535
Volume
11623 LNCS
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Ciencias de la computación
Subjects
Scopus EID
2-s2.0-85068957220
ISSN of the container
03029743
ISBN of the container
978-303024307-4
Conference
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 19th International Conference on Computational Science and Its Applications, ICCSA 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 Bene-ficiario 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