The greedy algorithm function takes in a vector of candidates and aims to find the solution set. The best candidate is chosen as the maximum element (for demonstration) within the function. If feasible (in this example, it always is), the best candidate is added to the solution set. The ...
I have this problem that I am working on that has to do with the greedy best first search algorithm. However I am bit stuck on computing the length of the traverse when it comes to points (x, y). For example lets say I have these points: (0, 1), (0, 2), (1, 2), (1, ...
For example, if HST is the optimal expert, the updated vector would be (1/2BRT + 1/2HST) × 2 = BRT + HST. In the subsequent iteration, the algorithm augments the previous vector, BRT + HST, by combining it with each expert while assigning a weight of 1/3 to each. Thus, for ...
The idea of the algorithm is to first choose some facilities to open at random from among those that can handle the most weight of the patient demands. After that, patients are assigned to the closest opened facility with the capacity to serve them. Finally, drones are assigned to patients ...