2022
DOI: 10.3390/s22197389
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A Localization Method of Ant Colony Optimization in Nonuniform Space

Abstract: The purpose of geographic location selection is to make the best use of space. Geographic location selection contains a large amount of spatiotemporal data and constraints, resulting in too many solutions. Therefore, this paper adopts the ant colony algorithm in the meta-heuristic search method combined with the incomplete quadtree to improve the searchability of the space. This paper proposes an improved ant colony algorithm in nonuniform space to solve the P-center facility location problem. The geographic s… Show more

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Cited by 6 publications
(1 citation statement)
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“…By traversing the nodes of the tree, the data can be retrieved by quickly locating the node that contains or is closest to the target location [24]. Spatial division by quadtree indexing not only solves the purpose of uniformly dividing spatial elements, but also ensures the establishment of a spatial grid structure applicable to both old and new spatial data, as the overall spatial distribution of the old and new elements will not be changed too much by giving a grid range that contains all the old and new elements [25].…”
Section: Construction Of Unbalanced Quadtree Based On the Number Of L...mentioning
confidence: 99%
“…By traversing the nodes of the tree, the data can be retrieved by quickly locating the node that contains or is closest to the target location [24]. Spatial division by quadtree indexing not only solves the purpose of uniformly dividing spatial elements, but also ensures the establishment of a spatial grid structure applicable to both old and new spatial data, as the overall spatial distribution of the old and new elements will not be changed too much by giving a grid range that contains all the old and new elements [25].…”
Section: Construction Of Unbalanced Quadtree Based On the Number Of L...mentioning
confidence: 99%