JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2016, Vol. 40 ›› Issue (01): 142-146.doi: 10.3969/j.issn.1000-2006.2016.01.023

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Three-stage ant colony algorithm for land use inspection routing and objects navigation

WANG Zhijie, SHAN Wenlong   

  1. College of Civil Engineering, Nanjing Forestry University,Nanjing 210037, China
  • Online:2016-02-18 Published:2016-02-18

Abstract: In view of the problem that it was difficult for land management staffs to fast and accurately find and reach all land parcels need to be inspected in land use inspection work, the technique of land use inspection routing plan and object navigation was studied. A three-stage ant colony algorithm for land inspection routing plan and target navigation was presented, i.e. “first, clustering targets, then searching local optimal path, at last realizing global optimum path”. The three-stage ant colony algorithm simplified multiple vehicle routing and targets navigation in a large area to sole vehicle routing and targets navigation in a small area, and searched the land supervision global optimal routing and navigation information based on improved ant colony algorithm. The experiment showed that, through surveying 580 pattern spots in 6 600 km2, the method improved vehicle-miles of travel from 2 250 km to 1 683.3 km, shorten by 25.2%. At the same time this accurate object navigation enhanced work efficiency and veracity if compared to exacting commercial navigator method.

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