Exploring the Suitability of a Genetic Algorithm as Tool for Boosting Efficiency in Monte Carlo Estimation of Leaf Area of Eelgrass

Cecilia Leal Ramírez, Héctor Echavarría-Heras, Oscar Castillo. Exploring the Suitability of a Genetic Algorithm as Tool for Boosting Efficiency in Monte Carlo Estimation of Leaf Area of Eelgrass. In Patricia Melin, Oscar Castillo, Janusz Kacprzyk, editors, Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Volume 601 of Studies in Computational Intelligence, pages 291-303, Springer, 2015. [doi]

@incollection{RamirezEC15,
  title = {Exploring the Suitability of a Genetic Algorithm as Tool for Boosting Efficiency in Monte Carlo Estimation of Leaf Area of Eelgrass},
  author = {Cecilia Leal Ramírez and Héctor Echavarría-Heras and Oscar Castillo},
  year = {2015},
  doi = {10.1007/978-3-319-17747-2_23},
  url = {http://dx.doi.org/10.1007/978-3-319-17747-2_23},
  researchr = {https://researchr.org/publication/RamirezEC15},
  cites = {0},
  citedby = {0},
  pages = {291-303},
  booktitle = {Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization},
  editor = {Patricia Melin and Oscar Castillo and Janusz Kacprzyk},
  volume = {601},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-319-17746-5},
}