Sure thing, let’s treat the wasteland like a graph: each safe zone is a node, each passable route is an edge, and we assign weights that combine distance, hazard level and supply density. First we build a weighted adjacency matrix, then run Dijkstra’s algorithm to find the shortest path to the most valuable nodes. If we add a probability factor for supplies on each edge, we can turn it into a Markov decision process and compute the expected reward for each route. Just feed me the coordinates and risk scores and I’ll crunch the numbers for you.

Give me a list of the nodes, their coordinates, the hazard rating for each corridor, and the supply score you expect to find. Then I can put it into a weighted graph and run the optimization. If you prefer a spreadsheet, just send the rows and I’ll convert them for you.

Got it. I’ll treat each corridor weight as a combination of distance, hazard and supply. I’ll compute a “risk‑adjusted reward” for each edge, then run Dijkstra to find the path from A to E that maximizes expected supplies while minimizing total risk. Give me the start and end points you care about, and I’ll spit out the optimal route.