2023AI 知识点76 EM Algorithm第43组 一起学AI 40 0 2023AI 知识点11 Local beam search、Stochastic beam search第47组 一起学AI 32 0 2023AI 知识点8 Local search methods、complete-state formulation第31组 一起学AI 31 0 2023AI 知识点4 Breadth-first、uniform-cost search第41组 一起学AI 57...
Unfortunately, iterative deepening only performs well when successive cost bounds visit a geometrically increasing number of nodes. While it happens to work acceptably for the classic sliding tile puzzle, IDA* fails for many other domains. In this paper, we present an algorithm that adaptively ...
Tcgd: A Time-Constrained Approximate Guided Depth-First Search Algorithm A*TCA*TCGDapproximate branch-and-bound algorithmbest-first search, guided depth-first searchiterative deepeningtime constraintsymmetric traveling-salesman problem... BW Wah,LC Chu - 《International Journal on Artificial Intelligence ...
I have implemented a version of Rush Hour (the puzzle board game) in Python as a demonstration of some AI algorithms. The game isn't important, because the AI is relatively independent of its details: I've attempted to implement a version of iterative deepening depth-first search in Pytho...
A New Approach of Iterative Deepening Bi-Directional Heuristic Front-to-Front Algorithm (IDBHFFA)Artificial Intelligence (AI) is a subject that studies techniques for making computers exhibit intelligent behavior. Searching still remains one of the problem in AI. Bi-directional search is perform...
Unfortunately, iterative deepening only performs well when successive cost bounds visit a geometrically increasing number of nodes. While it happens to work acceptably for the classic sliding tile puzzle, IDA* fails for many other domains. In this paper, we present an algorithm that adaptively ...
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...
In addition, estimating the node types introduces extra complexity to the search process. With the present work, we would like to move the stance further by presenting a novel refinement of the minimax algorithm, called the iterative optimal minimax (IOM) algorithm. The main idea is to improve...