PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections-Reference-Cited by-同舟云学术

PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections

Published:2021 Issue: Volume: Page:15-26
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Ceniceros Julio Fernandez,Sanz-Garcia Andres^ORCID,Pernia-Espinoza Alpha^ORCID,Martinez-de-Pison Francisco Javier^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86271-8_2

Reference24 articles.

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2. Clerc, M.: Stagnation Analysis in Particle Swarm Optimisation or What Happens When Nothing Happens, p. 17, December 2006

3. Eberhart, R., Shi, Y.: Comparing inertia weights and constriction factors in particle swarm optimization. In: Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), vol. 1, pp. 84–88 (2000). https://doi.org/10.1109/CEC.2000.870279

4. Fernandez-Ceniceros, J., Sanz-Garcia, A., Antoñanzas-Torres, F., Martinez-de Pison, F.J.: A numerical-informational approach for characterising the ductile behaviour of the t-stub component. Part 1: Refined finite element model and test validation. Eng. Struct. 82, 236–248 (2015). https://doi.org/10.1016/j.engstruct.2014.06.048

5. Fernandez-Ceniceros, J., Sanz-Garcia, A., Antoñanzas-Torres, F., Martinez-de Pison, F.J.: A numerical-informational approach for characterising the ductile behaviour of the t-stub component. Part 2: Parsimonious soft-computing-based metamodel. Eng. Struct. 82, 249–260 (2015). https://doi.org/10.1016/j.engstruct.2014.06.047

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