I\'ve been trying all day to get this algorithm up and running, but I cant for the life of me. I\'ve read many tutorials on the net, and source code in AS3, javascript, and C++; but I cannot adapt wha
im doing the 8 puzzle solver with the a st开发者_如何学Goar algorithm. I implement Manhattan and misplaced heuristic functions in this solver. In some cases, the solver works fine. But in some cases,
I notice that some of the \"hard\" combinatorial problems I come across can be cast in terms of some type of tree search like alpha-beta pruning, or beam search, or a similar algorithm. However, progr
I\'m fa开发者_如何转开发cing an optimization problem: I\'ve a graph with a lot of nodes (10^5) that represents points on a plane surface.
This question a开发者_JS百科lready has answers here: Closed 11 years ago. Possible Duplicate: Using A* to solve Travelling Salesman Problem
I am currently working on A* pathfinding, but I am having some problems. It does the wrong path before taking the best path to the end.
I have a set data which is a collection of node - node - associated cost. This cost is represented as a开发者_C百科 distance in feet.
If I have a set of nodes with coordinates (x, y) and I have a set of node - node - cost, in this case the cost is in minute. How do I calculate the Euclidean distance assuming the 开发者_如何学运维spe
In A* usually the result that you get is only one path. Is it possible though for a given origin and destination to have 3 recommended path according to A*? So the second returned is the second best p
Here is my scenario. I wa开发者_开发知识库nt to implement A* (in Python) without having to resort to linear-time min or in operations. I need a heap to be able to efficiently get the lowest weight ite
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