An Adaptive Improved Ant Colony System Based on Population Information Entropy for Path Planning of Mobile Robot

An Adaptive Improved Ant Colony System Based on Population Information Entropy for Path Planning of Mobile Robot

In this paper, an adaptive improved ant colony algorithm based on population information entropy(AIACSE) is proposed to improve the optimization ability of the algorithm. The diversity of the population in the iterative process is described by the information entropy. The non-uniform distribution in...

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Bibliographic Details
Main Authors: Songcan Zhang, Jiexin Pu, Yanna Si
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Ant colony optimization
path planning
mobile robot
grid map
pheromone diffusion model
parameter adjusting strategy
Online Access:https://ieeexplore.ieee.org/document/9345799/

Internet

https://ieeexplore.ieee.org/document/9345799/

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