Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Αλγόριθμος Αναζήτησης A*× | Αλγόριθμος Bellman-Ford× | |
|---|---|---|
| Πεδίο | Επιχειρησιακή Έρευνα | Επιχειρησιακή Έρευνα |
| Οικογένεια | Machine learning | Machine learning |
| Έτος προέλευσης≠ | 1968 | 1956 |
| Δημιουργός≠ | Peter E. Hart, Nils J. Nilsson, and Bertram Raphael | Richard Bellman and Lester R. Ford |
| Τύπος | algorithm | algorithm |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες≠ | A* algorithm, A-star algorithm, A* search | Bellman-Ford method, Bellman algorithm |
| Συναφείς≠ | 2 | 3 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|