Unmanned vehicle path planning using a novel ant colony algorithm

Unmanned vehicle path planning using a novel ant colony algorithm

Abstract The ant colony optimization algorithm is an effective way to solve the problem of unmanned vehicle path planning. First, establish the environment model of the unmanned vehicle path planning, process and describe the environmental information, and finally realize the division of the problem...

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Bibliographic Details
Main Authors: Longwang Yue, Hanning Chen
Format: Article
Language:English
Published: SpringerOpen 2019-05-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Path planning
Ant colony algorithm
Grid method
Penalty strategy
Online Access:http://link.springer.com/article/10.1186/s13638-019-1474-5

Internet

http://link.springer.com/article/10.1186/s13638-019-1474-5

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