Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Algoritmo de Búsqueda A*× | Algoritmo de Bellman-Ford× | |
|---|---|---|
| Campo | Investigación operativa | Investigación operativa |
| Familia | Machine learning | Machine learning |
| Año de origen≠ | 1968 | 1956 |
| Autor original≠ | Peter E. Hart, Nils J. Nilsson, and Bertram Raphael | Richard Bellman and Lester R. Ford |
| Tipo | algorithm | algorithm |
| Fuente seminal≠ | Hart, P. E., Nilsson, N. J., & Raphael, B. (1968). A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics, 4(2), 100-107. DOI ↗ | Bellman, R. (1958). On a routing problem. Quarterly of Applied Mathematics, 16(1), 87-90. DOI ↗ |
| Alias≠ | A* algorithm, A-star algorithm, A* search | Bellman-Ford method, Bellman algorithm |
| Relacionados≠ | 2 | 3 |
| Resumen≠ | The A* Search Algorithm, developed by Peter E. Hart, Nils J. Nilsson, and Bertram Raphael in 1968, is an optimal path-finding algorithm that combines the benefits of Dijkstra's algorithm with heuristic guidance. It efficiently finds the shortest path by balancing actual distance from the start with estimated distance to the goal. | The Bellman-Ford Algorithm, developed by Richard Bellman and Lester R. Ford in the 1950s, is a fundamental algorithm for computing shortest paths in weighted graphs that may contain negative edge weights. Unlike Dijkstra's algorithm, it correctly handles negative weights and can detect the presence of negative-weight cycles. |
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