Optimization of the Parameters of Smoothed Particle Hydrodynamics Method, Using Evolutionary Algorithms

Juan de Anda-Suárez, Martín Carpio, Solai Jeyakumar, Héctor José Puga Soberanes, Juan F. Mosiño, Laura Cruz Reyes. Optimization of the Parameters of Smoothed Particle Hydrodynamics Method, Using Evolutionary Algorithms. 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 153-167, Springer, 2018. [doi]

@incollection{Anda-SuarezCJSMR18,
  title = {Optimization of the Parameters of Smoothed Particle Hydrodynamics Method, Using Evolutionary Algorithms},
  author = {Juan de Anda-Suárez and Martín Carpio and Solai Jeyakumar and Héctor José Puga Soberanes and Juan F. Mosiño and Laura Cruz Reyes},
  year = {2018},
  doi = {10.1007/978-3-319-71008-2_13},
  url = {https://doi.org/10.1007/978-3-319-71008-2_13},
  researchr = {https://researchr.org/publication/Anda-SuarezCJSMR18},
  cites = {0},
  citedby = {0},
  pages = {153-167},
  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},
}