Improved dynamical particle swarm optimization method for structural dynamics
Publication date
2019ISSN
1024-123X
Abstract
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.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
51 - Mathematics
Keywords
Algoritmes
Algoritmos
Algorithms
Pages
12
Publisher
Hindawi
Collection
2019
Is part of
Mathematical Problems in Engineering
Citation
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
Link to the related item
This item appears in the following Collection(s)
- Ciències Bàsiques [65]
Rights
© 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.
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/