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Finally, we keep a user-specified percentage of nodes with the lowest f(x) values and then reconstruct the priority queues evenly, in which nodes are stratified by their heuristic function values.
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As such, the criticism of war and sport metaphors does not concern their accuracy but their heuristic function: they promote an adversarial emphasis in the practice of argument.
A naïve idea is to pop a number of minimum elements from a single priority queue and then compute their heuristic function values.
In the final P ushing-B ack phase, GA* pushes all the expanded nodes with their heuristic function values back into the priority queues, using the classical insert procedure of a binary heap.
For the nodes that are allowed to expand, their children nodes are expanded and their heuristic functions are computed and compared with the bound score again until the search reaches the end node.
Then the state estimation fusion is guided by the heuristic function, in which the appropriate sensor tracks are selected and an optimal number of tracks are fused.
Theoretical analyses, however, suggest that in many cases minimaxing amplifies the noise introduced by the heuristic function used to evaluate the leaves of the game tree, leading to what is known as pathological behavior, where deeper searches produce worse results.
It differs from the earlier algorithm by Aghdam et al. by including a heuristic function based on statistics and a local search.
It can be viewed as an extension of Dijkstra algorithm [16] by adding a heuristic function h that guides the search [11].
Multiplying the heuristic function by a weight greater than one is a well-known technique in heuristic search.
Several modifications and extensions of the basic algorithm are also presented, including the approximation of the heuristic function by a small, dynamically changing set of favorable decisions.
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