dc.creator | Hernandez, G. | |
dc.creator | Bravo, F. | |
dc.creator | Montealegre, P. | |
dc.creator | Nuñez, F. | |
dc.creator | Salinas, L. | |
dc.date | 2010 | |
dc.date | 2010 | |
dc.date | 2023-05-10T16:51:11Z | |
dc.date.accessioned | 2023-07-15T10:26:15Z | |
dc.date.available | 2023-07-15T10:26:15Z | |
dc.identifier | http://sedici.unlp.edu.ar/handle/10915/152730 | |
dc.identifier | http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-hpc-07.pdf | |
dc.identifier | issn:1851-9326 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7491861 | |
dc.description | The Multilevel algorithm (ML) has been applied successfully as a metaheuristic for different combinatorial optimization problems: Graph Partitioning, Traveling Salesman, Graph Coloring, see refs. [6,7,18]. The main difficulty of ML are the convergence times needed to obtain solutions at a distance of 7% - 5% to the best known solution in large scale problems. In order to reduce these convergence times we studied numerically a Parallel Multilevel heuristic with Neural Network partitioning and uncoarsening + refinement phases (PML+PNN) for the Graph Bisection Problem on geometrically connected graphs. Our main result establish that for graphs with n∊[4000,12000] vertices, the performance of the parallel ML+NN heuristic increases linearly as n increases with respect to the parallel ML heuristic. For n∊{10000,12000} the distance to the best solution found is 0.32,0.25 respectively that is obtained with a quadratic computing time. This suggests improving the performance of the PML+PNN heuristic by means of a hill climbing improvement heuristic. | |
dc.description | Sociedad Argentina de Informática e Investigación Operativa | |
dc.format | application/pdf | |
dc.format | 3249-3257 | |
dc.language | en | |
dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
dc.subject | Ciencias Informáticas | |
dc.subject | Graph Bisection Problem | |
dc.subject | Multilevel + Neural Network Heuristic | |
dc.title | Multilevel + Neural Network Heuristic for the Graph Bisection Problem on Geometrically Connected Graphs | |
dc.type | Objeto de conferencia | |
dc.type | Objeto de conferencia | |