Multi-factor of path planning based on an ant colony optimization algorithm
ABSTRACTWe propose an improved ant colony algorithm for avoiding obstacles in complex static environments that addresses the problems of a single evaluation factor and low path quality of the traditional ant colony algorithm in path planning. The improvements are: 1) a fuzzy planner is constructed a...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-04-01
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Series: | Annals of GIS |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/19475683.2020.1755725 |