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I would like to apply the astar_search() algorithm to an implicit graph that generates over time. The initialization of a new vertex in the graph is thereby quite involved and requires an external lookup in another data structure.

I have looked into quite a few examples that use astar_search(), but could not find a lot with implicit graphs. From all the examples that use implicit graphs [1] looks the most promising. The problem with the proposed solution is, that astar_search() takes a const graph reference (const VertexListGraph &g) as a parameter in boost 1.66, thus prohibiting the modification and addition of new vertices and edges to the graph in the examine_vertex visitor.

Another proposed solution I saw was [2]. Although I'm not quite sure that I fully understand every bit of the code, I think the astar_search_no_init() function does not fit my problem either, since I already start with a partially computed graph and a simple default construction of a new vertex is problematic, due to the vertex creation with the external lookup described above.

I guess the easiest, yet not working, solution to my problem would be an examine_vertex visitor that is able to modify the graph. Do you guys have any idea what I could do instead or know a workaround solution?

[1] A* Graph Search Within the BGL Framework (p.12-19)

[2] Stack Overflow Question: boost implicit graph and astar_search_no_init

winbergs
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