Excavation Balance Routing Algorithm Simulation Based on Fuzzy Ant Colony
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DOI: 10.25236/iceeecs.2018.052
Author(s)
Luo Xiaojuan, Yan Li
Corresponding Author
Luo Xiaojuan
Abstract
This paper proposes a new fuzzy ant colony routing strategy based on ant colony algorithm to realize the exploration-excavation capability balance. It uses the fuzzy control system based on likelihood inference to calculate the local heuristic information. At the same time, according to the traditional ant colony routing algorithm, it calculates the pheromone value of different paths, and finally makes a routing decision based on the proportion of both.
Keywords
Ant colony algorithm, Acfr routing algorithm, Exploration-excavation, Pheromone value.