Greedy search vs BFS is a classic tradeoff. BFS guarantees optimality, but greedy can be *way* faster if you’re okay with suboptimal results.
Pro tip: If you’re using Python, `networkx` lets you implement both super easily.
But seriously, greedy search can fail *hard* if your heuristic’s misleading. Seen it happen in robotics—robot just spins in circles chasing a bad estimate.
Pro tip: If you’re using Python, `networkx` lets you implement both super easily.
But seriously, greedy search can fail *hard* if your heuristic’s misleading. Seen it happen in robotics—robot just spins in circles chasing a bad estimate.