Heurísticas para o problema do caixeiro viajante branco e preto
This work describes a generalization of the Traveling Salesman Problem - TSP called Black and White Traveling Salesman Problem - BWTSP. The BWTSP is defined in a graph G (oriented or not), in a such way that the associated vertex set is partitioned into black and white vertices. The objective is to...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2005 |
| País: | Brasil |
| Institución: | Universidade Federal Fluminense (UFF) |
| Repositorio: | Repositório Institucional da Universidade Federal Fluminense (RIUFF) |
| Idioma: | portugués |
| OAI Identifier: | oai:app.uff.br:1/17815 |
| Acceso en línea: | https://app.uff.br/riuff/handle/1/17815 |
| Access Level: | acceso abierto |
| Palabra clave: | Metaheurística GRASP Heurística Caixeiro-viajante GRASP Regras de Redução V ND V NS Heuristics Metaheuristics The traveling salesman problem Reduction rules CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO::COMPUTABILIDADE E MODELOS DE COMPUTACAO |
| Sumario: | This work describes a generalization of the Traveling Salesman Problem - TSP called Black and White Traveling Salesman Problem - BWTSP. The BWTSP is defined in a graph G (oriented or not), in a such way that the associated vertex set is partitioned into black and white vertices. The objective is to find a shortest hamiltonian tour subject to Cardinality and Length constraints. These constraints are related to the number of white vertices (cardinality) and the total distance (length) between two consecutive black vertices in a feasible solution. The main applications of this problem are found in the telecomunication area and the scheduling of airline operations that incorporate maintenance conections. In this work we introduce mathematical formulations for asymmetrical and symmetrical BWTSP, we propose news construction and local search algorithms that are used in the metaheuristics GRASP, V NS and V ND. Computational results show the viability of the proposed methods. |
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