Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Murilo Zangari de Souza"'
Publikováno v:
Anais do 11. Congresso Brasileiro de Inteligência Computacional.
Autor:
Aurora Pozo, Murilo Zangari de Souza
Publikováno v:
BRACIS
The Unconstrained Binary Quadratic Programming (UBQP) is a NP-hard problem able to represent a wide range of combinatorial optimization problems. The problem has grown in importance due to its potential application and its computational challenge. Re
Autor:
Murilo Zangari de Souza, Aurora Pozo
Publikováno v:
BRACIS
Several Ant Colony Optimization (ACO) algorithms have been proposed to solve multiobjective problems. MOEA/D-ACO is a multiobjective algorithm based on ACO and the decomposition approach and presents best results when compared with MOEA/D and BiCrite
Autor:
Aurora Pozo, Murilo Zangari de Souza
Publikováno v:
Advances in Artificial Intelligence--IBERAMIA 2014 ISBN: 9783319120263
IBERAMIA
IBERAMIA
This paper describes the idea of MOEA/D-ACO (Multiobjective Evolutionary Algorithm based on Decomposition and Ant Colony Optimization) and proposes a Graphics Processing Unit (GPU) implementation of MOEA/D-ACO using NVIDIA CUDA (Compute Unified Devic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0fb10e4b558245bc14e022dcef85ce5
https://doi.org/10.1007/978-3-319-12027-0_33
https://doi.org/10.1007/978-3-319-12027-0_33
Publikováno v:
2015 Brazilian Conference on Intelligent Systems (BRACIS); 2015, p86-91, 6p
Publikováno v:
2015 Brazilian Conference on Intelligent Systems (BRACIS); 2015, pv-ix, 5p
Publikováno v:
2014 Brazilian Conference on Intelligent Systems; 2014, p324-329, 6p
Publikováno v:
2014 Brazilian Conference on Intelligent Systems; 2014, pv-xi, 7p
Publikováno v:
Advances in Artificial Intelligence -- IBERAMIA 2014; 2014, p405-417, 13p
Publikováno v:
Advances in Artificial Intelligence -- IBERAMIA 2014; 2014, pI-XXV, 25p