ANA一LlKEAND/ORGRAPH0己ARCH ALGoRITHM——AO.A ZhangWei,YoRuizhaoandHeZhijun (z 4PUnlverHty) Ab.tractThesimilaritycorrespondencebetweentheconceptsofgraphandthese ofgeneralizedAnd/Orgraph(GAG,itincludesstandardAnd/Orgraph) areprese— nted Withthiscorrespondence,theperfecttheory,algorithmsandanalysismethods...
AND-OR graphs provide yet another dimension for searches. Till date only AO* algorithm is capable of dealing with such problem areas. Researches proposed MAO* algorithm using heuristic technique for handling such problems more efficiently.Dr. Mahesh Kumar...
A Linear and Exact Algorithm for Whole-Body Collision Evaluation via Scale Optimization,Qianhao Wang †, Zhepei Wang †, Liuao Pei, Chao Xu, and Fei Gao。采用了low dimensional 线性规划方式描述了col…
Traditional studies considered optimization objectives such as the shortest path, shortest travel time, or lowest fuel consumption, and utilized algorithms such as Dijkstra’s algorithm [8] or the A* algorithm [9]. Subsequent studies incorporated time-varying characteristics of the traffic system, ...
SS symmetry Article An Improved A* Algorithm Based on Hesitant Fuzzy Set Theory for Multi-Criteria Arctic Route Planning Yangjun Wang 1, Ren Zhang 1,* and Longxia Qian 2 1 College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China; wyjscholar@sina...
论文《A New Hardware-Efficient Algorithm and Reconfigurable Architecture for Image Contrast Enhancement》提到对对比度增强的图像进行客观评价,引用论文《Image Enhancement for Backlight-Scaled TFT-LCD Displays》中的边缘损耗率指标(The edge loss rate)。
The proposed clustering algorithm is based on two primary phases: (i) the Division phase and (ii) the Merging phase. In the initial phase of division, the data is divided into an optimized number of small sub-clusters. This division is carried out utilizing all the dimensions of the data....
basis of keyword co-occurrence analysis, where the log likelihood ratio algorithm was used for clustering keyword extraction in the clus tering analysis; then the co-citation analysis was performed on refer ences, co-cited authors, and co-ci...
In fact, it is among the simplest and most obvious of distributed algorithms... The last section explains the complete Paxos algorithm, which is obtained by the straightforward application of consensus to the state machine approach for building a distributed system—an approach that should be well...
0.8 and 0.3 are recommended for parameter estimation & evidence evalutaion respectively. tol: A value of 0.5 should give good enough accuracy. nCdims: If mmodal is T, MultiNest will attempt to separate out the modes. Mode separation is done through a clustering algorithm. Mode separation can...