Using Cellular Ant Colony Algorithm for Path-Planning of Robots

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To overcome some shortcoming existed in the conventional ant colony algorithms, e.g. slow converging and trend for falling into local convergences, a novel method for robot path planning is introduced based on cellular ant colony. Firstly, two ant colonies were set to run with different strategies. Secondly, the existing ant colony paths were evolved by following the cellular rules, so that the ants could jump from the current region into the region with a solution. Experiment results showed that the proposed algorithm proved to be stable, and that the global optimal path was found in a short time in a number of iterations.

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Periodical:

Edited by:

Huang Xianghong, Huang Xinyou, Mao Hongkui and Yin Zhixi

Pages:

1776-1780

DOI:

10.4028/www.scientific.net/AMM.182-183.1776

Citation:

Y. F. Wu et al., "Using Cellular Ant Colony Algorithm for Path-Planning of Robots", Applied Mechanics and Materials, Vols. 182-183, pp. 1776-1780, 2012

Online since:

June 2012

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$35.00

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