Comparative of Effectiveness When Classifying Colors Using RGB Image Representation with PSO with Time Decreasing Inertial Coefficient and GA Algorithms as Classifiers

Martín Montes, Alejandro Padilla, Juana Canul-Reich, Julio Ponce, Alberto Ochoa-Zezzatti. Comparative of Effectiveness When Classifying Colors Using RGB Image Representation with PSO with Time Decreasing Inertial Coefficient and GA Algorithms as Classifiers. In Oscar Castillo, Patricia Melin, Janusz Kacprzyk, editors, Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Volume 749 of Studies in Computational Intelligence, pages 527-546, Springer, 2018. [doi]

@incollection{MontesPCPO18,
  title = {Comparative of Effectiveness When Classifying Colors Using RGB Image Representation with PSO with Time Decreasing Inertial Coefficient and GA Algorithms as Classifiers},
  author = {Martín Montes and Alejandro Padilla and Juana Canul-Reich and Julio Ponce and Alberto Ochoa-Zezzatti},
  year = {2018},
  doi = {10.1007/978-3-319-71008-2_38},
  url = {https://doi.org/10.1007/978-3-319-71008-2_38},
  researchr = {https://researchr.org/publication/MontesPCPO18},
  cites = {0},
  citedby = {0},
  pages = {527-546},
  booktitle = {Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications},
  editor = {Oscar Castillo and Patricia Melin and Janusz Kacprzyk},
  volume = {749},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-319-71008-2},
}