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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.
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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.
The heuristic function is characterized by the distribution of heuristic values over the problem space.
Interesting examples are approximate algorithms where the heuristic function used is inflated by a weight (often referred to as weighted A∗).
The major functions of the algorithm are: (mathtt{Heuristic } u,v)): The heuristic function estimates the distance between two nodes (u) and (v).
In our protein design problem, the main bottleneck is the floating-point operations for the heuristic function evaluation.
Albeit rigorously formulated, the methodology was rather limited in performing aggressive optimizations because of the halo inherently inserted by the heuristic flexibility functions.
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.
It differs from the earlier algorithm by Aghdam et al. by including a heuristic function based on statistics and a local search.
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