Research on the Application of Ant Colony Algorithm in Underwater Path Planning

Autor: Zhong Wang, Zhe Rao, Wei Feng
Rok vydání: 2016
Předmět:
Zdroj: Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering.
DOI: 10.2991/isaeece-16.2016.10
Popis: Keywords: Underwater terrain-aided navigation;Path planning;Ant colony algorithm;Particle filter Abstract. In order to ensure sufficient terrain information for the underwater terrain-aided navigation, a global path planning method based on Ant Colony Algorithm (ACA) is proposed. The concept of feasible region is firstly defined, and then pheromone representation, heuristic functions and pheromone updating rules are discussed in detail. Thirdly, ACA considering comprehensively navigation tasks and terrain information is studied on the basis of real terrain data. Finally, Simulative verification with Particle Filter (PF) navigational algorithm on the given path is conducted. The results show that the proposed path planning method can achieve good performance in underwater terrain-aided navigation.
Databáze: OpenAIRE