Improved dynamical particle swarm optimization method for structural dynamics
Data de publicació
2019ISSN
1024-123X
Resum
A methodology to the multiobjective structural design of buildings based on an improved particle swarm optimization algorithm is presented, which has proved to be very efficient and robust in nonlinear problems and when the optimization objectives are in conflict. In particular, the behaviour of the particle swarm optimization (PSO) classical algorithm is improved by dynamically adding autoadaptive mechanisms that enhance the exploration/exploitation trade-off and diversity of the proposed algorithm, avoiding getting trapped in local minima. A novel integrated optimization system was developed, called DI-PSO, to solve this problem which is able to control and even improve the structural behaviour under seismic excitations. In order to demonstrate the effectiveness of the proposed approach, the methodology is tested against some benchmark problems. Then a 3-story-building model is optimized under different objective cases, concluding that the improved multiobjective optimization methodology using DI-PSO is more efficient as compared with those designs obtained using single optimization.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
Anglès
Matèries (CDU)
51 - Matemàtiques
Paraules clau
Algoritmes
Algoritmos
Algorithms
Pàgines
12
Publicat per
Hindawi
Col·lecció
2019
Publicat a
Mathematical Problems in Engineering
Citació
Annicchiarico, William; Cerrolaza, Miguel. Improved dynamical particle swarm optimization method for structural dynamics. Mathematical Problems in Engineering, 2019, 2019, 8250185. Disponible en: <https://www.hindawi.com/journals/mpe/2019/8250185/>. Fecha de acceso: 21 mar. 2023. DOI: 10.1155/2019/8250185
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Drets
© 2019 W. D. Annicchiarico and M. Cerrolaza. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Excepte que s'indiqui una altra cosa, la llicència de l'ítem es descriu com https://creativecommons.org/licenses/by/4.0/