Exact(14)
In this study, the grid partitioning method is employed for Fuzzy Inference System (FIS) generation (Ebtehaj and Bonakdari 2014a).
Ge et al. [22] proposed a methodology for electric vehicle charging locations, based on grid partitioning and genetic algorithm.
Because of large number of input variables, scatter partitioning was used to avoid "curse of dimensionality" problem instead of grid partitioning.
Moreover, three methods, namely grid partitioning (GP), sub-clustering (SC) and fuzzy c-means (FCM), were used to construct the fuzzy inference system (FIS).
To address the scalability problem, we propose two grid partitioning methods based on modularity, properly modified to take into account the power flow model.
The choice of the grid partitioning scheme plays an important role in the performance and memory consumption of the grid-based operations.
Similar(46)
a grid partition for trajectory.
Fig. 7 Computing overhead of grid partition.
They are grid partition and clustering methods.
In contrast, our work adopts grid partition with uniform grids.
b Impact of grid size on overhead in grid partition.
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