Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Javier Ruiz-Aranguren"'
Autor:
Humberto Bustince, Mária Minárová, Aranzazu Jurio, Zdenko Takáč, Daniel Paternain, Javier Ruiz-Aranguren
Publikováno v:
Information Sciences. :87-103
In this paper we replace the product of the masses in the Gravitational search algorithm introduced by [17] by other bivariate functions with specific properties. We analyze the properties of these functions to guarantee convergence in the algorithm
Autor:
Mária Minárová, Aranzazu Jurio, Daniel Paternain, Zdenko Takáč, Javier Ruiz-Aranguren, Humberto Bustince
Publikováno v:
Advances in Fuzzy Logic and Technology 2017 ISBN: 9783319668260
EUSFLAT/IWIFSGN (3)
EUSFLAT/IWIFSGN (3)
In this work we propose an image compression algorithm based on the fuzzy transform. The algorithm tries to find the best fuzzy partition of the functions domain in order to obtain the best compressed image (in terms of quality). To solve the optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b097462c289c4eeffa7f8e123d64f04c
https://doi.org/10.1007/978-3-319-66827-7_11
https://doi.org/10.1007/978-3-319-66827-7_11
Autor:
Mária Minárová, Javier Ruiz-Aranguren, Mikel Sesma-Sara, Humberto Bustince, Cedric Marco-Detchart, Javier Fernández
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319593050
AGOP
AGOP
In this work we propose a generalization of the gravitational search algorithm where the product in the expression of the gravitational attraction force is replaced by more general functions. We study some conditions which ensure convergence of our p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8616890d5be15b6e5b94276f6706553
https://doi.org/10.1007/978-3-319-59306-7_17
https://doi.org/10.1007/978-3-319-59306-7_17