Revista: | Journal of applied research and technology |
Base de datos: | PERIÓDICA |
Número de sistema: | 000384312 |
ISSN: | 1665-6423 |
Autores: | Wang, D.Z1 Lang, M.X1 Sun, Y1 |
Instituciones: | 1Beijing Jiaotong University, Department of Logistics Engineering, Beijing. China |
Año: | 2014 |
Periodo: | Abr |
Volumen: | 12 |
Número: | 2 |
Paginación: | 251-260 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Conferencia o discurso |
Enfoque: | Experimental, aplicado |
Resumen en inglés | The evolutionary game of co-opetition relationship between regional logistics nodes is studied in this paper. A replicator dynamic model is built to obtain the Evolutionary Stable Strategy (ESS) of the game. Then, according to the status and level of logistics nodes, the symmetric and asymmetric game models based on evolutionary game theory are proposed, respectively. The former is used to analyze the changing trends of co-opetition relationship between logistics nodes from a same layer of a logistics network. While the latter can be used to deal with the relationship forecasting problems between logistics nodes from different layers. The result of the case study reveals that the proposed models have good practicability and accuracy in dealing with the relationship forecasting problems within a regional logistics network |
Disciplinas: | Ciencias de la computación, Matemáticas |
Palabras clave: | Matemáticas aplicadas, Teoría de juegos, Redes logísticas regionales, Juego evolutivo |
Keyword: | Computer science, Mathematics, Applied mathematics, Game theory, Regional logistic networks, Evolutionary game |
Texto completo: | Texto completo (Ver HTML) |