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Mathematical Problems in Engineering
Volume 2013, Article ID 560614, 13 pages
http://dx.doi.org/10.1155/2013/560614
Research Article

CFSO3: A New Supervised Swarm-Based Optimization Algorithm

Department of Engineering, Roma Tre University, Via V. Volterra 62, 00146 Rome, Italy

Received 3 May 2013; Accepted 7 July 2013

Academic Editor: Orwa Jaber Housheya

Copyright © 2013 Antonino Laudani et al. 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.

Citations to this Article [17 citations]

The following is the list of published articles that have cited the current article.

  • Salvatore Coco, Gianluca Chisari, Patrizia Di Falco, Enza Iraci, Simona Militello, and Antonino Laudani, “Accurate Estimation of Vehicle Attitude for Satellite Tracking in Ka Band SOTM,” 2014 European Modelling Symposium, pp. 409–414, . View at Publisher · View at Google Scholar
  • Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei, and Alessandro Salvini, “FEM model identification for a vector hysteresis workbench,” 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), pp. 1–5, . View at Publisher · View at Google Scholar
  • Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei, and Alessandro Salvini, “ Identification of a FEM based model through CFSO 3 algorithm ,” 2016 AEIT International Annual Conference (AEIT), pp. 1–6, . View at Publisher · View at Google Scholar
  • Antonino Laudani, Gabriele-Maria Lozito, Francesco Riganti-Fulginei, Alessandro Salvini, Ermanno Cardelli, Antonio Faba, and Simone Quondam, “Generalization of the vector hysteron model through the dependence of moving functions on frequency,” 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES), pp. 1–2, . View at Publisher · View at Google Scholar
  • Antonino Laudani, Francesco Riganti Fulginei, Gabriele Maria Lozito, and Alessandro Salvini, “Swarm/flock optimization algorithms as continuous dynamic systems,” Applied Mathematics and Computation, vol. 243, pp. 670–683, 2014. View at Publisher · View at Google Scholar
  • Antonino Laudani, Francesco Riganti Fulginei, and Alessandro Salvini, “High performing extraction procedure for the one-diode model of a photovoltaic panel from experimental I-V curves by using reduced forms,” Solar Energy, vol. 103, pp. 316–326, 2014. View at Publisher · View at Google Scholar
  • Gabriele Maria Lozito, and Alessandro Salvini, “An empirical investigation on the static Jiles-Atherton model identification by using different set of measurements,” 2014 AEIT Annual Conference - From Research to Industry: The Need for a More Effective Technology Transfer, AEIT 2014, 2014. View at Publisher · View at Google Scholar
  • Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini, Gabriele Maria Lozito, and Salvatore Coco, “Very Fast and Accurate Procedure for the Characterization of Photovoltaic Panels from Datasheet Information,” International Journal of Photoenergy, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Gabriele-Maria Lozito, Antonino Laudani, Francesco Riganti-Fulginei, and Alessandro Salvini, “FPGA implementations of feed forward neural network by using floating point hardware accelerators,” Advances in Electrical and Electronic Engineering, vol. 12, no. 1, pp. 30–39, 2014. View at Publisher · View at Google Scholar
  • Giulio Cecchini, Gabriele Maria Lozito, Maurizio Schmid, Silvia Conforto, Francesco Riganti Fulginei, and Daniele Bibbo, “Neural Networks for muscle forces prediction in cycling,” Algorithms, vol. 7, no. 4, pp. 621–634, 2014. View at Publisher · View at Google Scholar
  • Michal Vozda, Frantisek Jurek, and Martin Cerny, “Individualization of a vectorcardiographic model by a particle swarm optimization,” Biomedical Signal Processing and Control, vol. 22, pp. 65–73, 2015. View at Publisher · View at Google Scholar
  • Antonino Laudani, Francesco Riganti Fulginei, and Alessandro Salvini, “TMS Array Coils Optimization by Means of CFSO,” Ieee Transactions On Magnetics, vol. 51, no. 3, 2015. View at Publisher · View at Google Scholar
  • Gabriele Maria Lozito, Francesco Riganti Fulginei, and Alessandro Salvini, “On the Generalization Capabilities of the Ten-Parameter Jiles-Atherton Model,” Mathematical Problems in Engineering, vol. 2015, pp. 1–13, 2015. View at Publisher · View at Google Scholar
  • Ermanno Cardelli, Antonio Faba, Antonino Laudani, Francesco Riganti Fulginei, and Alessandro Salvini, “A moving approach to magnetic modeling of electrical steels in 2-d,” International Journal Of Applied Electromagnetics And Mechanics, vol. 48, no. 2-3, pp. 263–270, 2015. View at Publisher · View at Google Scholar
  • Francesco Riganti Fulginei, Gabriele Maria Lozito, and Alessandro Salvini, “A ten-parameter model for the static hysteresis simulation of ferromagnetic materials,” 2015 AEIT International Annual Conference, AEIT 2015, 2016. View at Publisher · View at Google Scholar
  • Tiane Li, Xiaoying Sun, Zhengzheng Lu, and Yue Wu, “A Novel Multiobjective Optimization Method Based on Sensitivity Analysis,” Mathematical Problems in Engineering, vol. 2016, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • Ermanno Cardelli, Antonio Faba, Antonino Laudani, Francesco Riganti Fulginei, and Alessandro Salvini, “Continuous Flock-of-Starlings Optimization for a general magnetic hysteresis model,” International Journal of Applied Electromagnetics and Mechanics, vol. 53, no. 2, pp. S229–S238, 2017. View at Publisher · View at Google Scholar