Proposed architecture for the combinatorial problems resolution based on BDI agents in ubiquitous environments

Guillermo Cabrera G., José Miguel Rubio L.

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The objective of global optimality versus the cost that this implies is an unresolved issue by researchers. Classical problems such as Travel Salesman Problem (TSP) or Vehicle Routing Problem (VRP) and it's derivatives, relate to combinatorial optimization problems that arise on an everyday basis for a group of people that would like to have the solution to such problems as soon as possible. Thus, the idea that such problems purely operational, would be solved by heuristics in devices makes sense, due to the interest of normal use for sellers or car's drivers. Within the framework of what we may call ubiquitous distributed computing, this paper proposes an BDI architecture that supports the resolution of problems in complex combinatorial mobile devices across heuristics or metaheuristics embedded in the devices themselves and working from a set of data from a central server using agents for coordination and collaboration.

Idioma originalInglés
Título de la publicación alojadaICCIT 2009 - 4th International Conference on Computer Sciences and Convergence Information Technology
Páginas1284-1289
Número de páginas6
DOI
EstadoPublicada - 2009
Publicado de forma externa
Evento4th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2009 - Seoul, República de Corea
Duración: 24 nov 200926 nov 2009

Serie de la publicación

NombreICCIT 2009 - 4th International Conference on Computer Sciences and Convergence Information Technology

Conferencia

Conferencia4th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2009
País/TerritorioRepública de Corea
CiudadSeoul
Período24/11/0926/11/09

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