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An Improvement to the Coordination Method of Ant Colony Algorithm

Authors: Xiangping Meng; Zhongyu Shen; Ye Yue; Yuzhen Pi; Wanyu Tan;

An Improvement to the Coordination Method of Ant Colony Algorithm

Abstract

The ant colony algorithm has two disadvantages: slow convergence and precocity. Aiming at the disadvantage of slow convergence speed, this paper proposed a new kind of pheromone named Directed Pheromone. Using the Directed Pheromone to enhance the pheromone trails on the shorter arcs in order to speed the algorithm's convergence. Besides, a new parameter is proposed to select arcs with low pheromone trails. Examples of TSP are used to compare the improved ant colony algorithm with basic ones. The simulation experiments show that the improved algorithm has faster convergence speed and more precise calculation results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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