Heuristics for the robust coloring problem
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| Autores: | , , , |
|---|---|
| 格式: | artículo original |
| 狀態: | Versión publicada |
| Fecha de Publicación: | 2011 |
| 實物特徵: | Let G and Ḡ be complementary graphs. Given a penalty function defined on the edges of Ḡ, we will say that the rigidity of a k-coloring of G is the sum of the penalties of the edges of Ḡ joining vertices of the same color. Based on the previous definition, the Robust Coloring Problem (RCP) is stated as the search of the minimum rigidity k-coloring. In this work a comparison of heuristics based on simulated annealing, GRASP and scatter search is presented. These are the best results for the RCP that have been obtained. |
| País: | Portal de Revistas UCR |
| 機構: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| 語言: | Español |
| OAI Identifier: | oai:archivo.portal.ucr.ac.cr:article/2119 |
| 在線閱讀: | https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/2119 |
| Palabra clave: | graph coloring robust coloring heuristics coloración de grafos coloración robusta heurísticas |