Sure, here are some other heuristics that work well with A* and their expected time complexity:

* **Dijkstra's heuristic:** This heuristic simply estimates the distance to the goal as the number of edges in the shortest path from the current node to the goal. The time complexity of A* with Dijkstra's heuristic is O(n log n).
* **Chebyshev's heuristic:** This heuristic estimates the distance to the goal as the maximum distance between the current node and the goal. The time complexity of A* with Chebyshev's heuristic is O(n^1.5).
* **Linear conflict heuristic:** This heuristic estimates the distance to the goal as the number of obstacles that must be crossed in the shortest path from the current node to the goal. The time complexity of A* with linear conflict heuristic is O(n^2).

In addition to these heuristics, there are many other heuristics that can be used with A*. The choice of heuristic depends on the specific problem being solved. For example, if the problem involves finding the shortest path in a maze, a good heuristic would be to estimate the distance to the goal as the number of walls that must be crossed in the shortest path.

I hope this helps! Let me know if you have any other questions.
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