TY - GEN
T1 - Galactic Swarm Optimization Applied to Reinforcement of Bridges by Conversion in Cable-Stayed Arch
AU - Vásquez, Camilo
AU - Crawford, Broderick
AU - Soto, Ricardo
AU - Lemus-Romani, José
AU - Astorga, Gino
AU - Misra, Sanjay
AU - Salas-Fernández, Agustín
AU - Rubio, José Miguel
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - The scouring of piers bridges, caused by hydraulic action, is one of the main risks that the structure suffer over the years. One of the methods in development is to change the structure of the bridge incorporating a upper cable-stayed arch, which allows to implement vertical and network hangers in charge of lifting the original bridge board. For this it is necessary to optimize the order and the adjustment magnitudes tension of the hangers. To solve this problem we implemented a software for optimization which uses Galactic Swarms Optimization, which is inspired by the movement of the stars, which is inspired by the movement of the stars, galaxies and superclusters under the influence of gravity. When comparing the results obtained with other approximate techniques, we can observe from the diagrams of distribution of instances that level two of the algorithm does not have the necessary and expected capacity to solve or leave from a local optimum.
AB - The scouring of piers bridges, caused by hydraulic action, is one of the main risks that the structure suffer over the years. One of the methods in development is to change the structure of the bridge incorporating a upper cable-stayed arch, which allows to implement vertical and network hangers in charge of lifting the original bridge board. For this it is necessary to optimize the order and the adjustment magnitudes tension of the hangers. To solve this problem we implemented a software for optimization which uses Galactic Swarms Optimization, which is inspired by the movement of the stars, which is inspired by the movement of the stars, galaxies and superclusters under the influence of gravity. When comparing the results obtained with other approximate techniques, we can observe from the diagrams of distribution of instances that level two of the algorithm does not have the necessary and expected capacity to solve or leave from a local optimum.
KW - Combinatorial optimization
KW - Galactic Swarm Optimization
KW - Metaheuristics
KW - Reinforcement of bridges
UR - http://www.scopus.com/inward/record.url?scp=85068966547&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-24308-1_10
DO - 10.1007/978-3-030-24308-1_10
M3 - Conference contribution
AN - SCOPUS:85068966547
SN - 9783030243074
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 108
EP - 119
BT - Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings
A2 - Misra, Sanjay
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Stankova, Elena
A2 - Korkhov, Vladimir
A2 - Torre, Carmelo
A2 - Tarantino, Eufemia
A2 - Rocha, Ana Maria A.C.
A2 - Taniar, David
A2 - Apduhan, Bernady O.
PB - Springer Verlag
Y2 - 1 July 2019 through 4 July 2019
ER -