- author = "Amir H Gandomi and David Roke",
- journal = "IEEE Transactions on Industrial Informatics",
- title = "A Multi-Objective Evolutionary Framework for Formulation of Nonlinear Structural Systems",
- year = "2022",
- volume = "18",
- number = "9",
- pages = "5795--5803",
- keywords = "genetic algorithms, genetic programming, Evolutionary Computation, Feature Selection, Formulation, Self-centering concentrically braced frame, Multi-objective",
- ISSN = "1941-0050",
-
URL = "
https://www.human-competitive.org/sites/default/files/entryform.txt",
-
URL = "
https://www.human-competitive.org/sites/default/files/tii3126702.pdf",
-
DOI = "
doi:10.1109/TII.2021.3126702",
- size = "9 pages",
- abstract = "an evolutionary framework is proposed for seismic response formulation of self-centering concentrically braced frame (SC-CBF) systems. A total of 75 different SC-CBF systems were designed, and their responses were recorded under 170 earthquake records. To select the most important earthquake intensity measures, an evolutionary feature selection strategy is introduced, which tries to find the highest correlation. For the formulation of the SC-CBF response, a hybrid multi-objective genetic programming and regression analysis is implemented, considering both model accuracy and model complexity as objectives. In the hybrid approach, regression tries to connect multiple genes. Non-dominated models are presented, and the best model is selected based on the practical approach proposed here. The best model is compared with four other genetic programming models. The results show that the evolutionary procedure is highly effective for designing the SC-CBF system using a simple and accurate model for such a complex system.",
-
notes = "Entered 2022 HUMIES
Also known as \cite{9609645}
University of Technology Sydney, Australia",
