Moreover, in large problem spaces the computational overhead for the selection of the next node to be expanded increases significantly. This paper presents a modification to the BHFFA called Iterative Deepening Bi-directional Heuristic Front-to-Front Algorithm (IDBHFFA) that has been analyzed...
Iterative deepening depth-first search (IDDFS) is an algorithm that is an important part of an Uninformed search strategy just like BFS and DFS. We can define IDDFS as an algorithm of an amalgam of BFS and DFS searching techniques. In IDDFS, We have found certain limitations in BFS and DF...
Statistic heuristic functions will be used to evaluate the state values of the nodes of depth d, while the values of other nodes of depths less than d are computed in accordance with the minimax rule. Refinements to this algorithm have been developed to address various concerns, in particular ...
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The algorithm is evaluated over a set of random tree search problems, and is found to be more efficient than IDMOA~*, a previous extension of IDA~* to the multiobjective case.J. CoegoL. MandowJ. L. Perez de la CruzAI*IA 2009: Artificial Intelligence and Human-Oriented Computing: X...