Research on navigation of bidirectional A* algorithm based on ant colony algorithm.

Bibliographic Details
Title: Research on navigation of bidirectional A* algorithm based on ant colony algorithm.
Authors: Chen, Yu-qiang1 (AUTHOR) chenyuqiang@126.com, Guo, Jian-lan1 (AUTHOR), Yang, Huaide1 (AUTHOR), Wang, Zheng-qin2 (AUTHOR), Liu, Hong-ling2 (AUTHOR)
Source: Journal of Supercomputing. 2021, Vol. 77 Issue 2, p1958-1975. 18p.
Subject Terms: *ANT algorithms, *SEARCH algorithms, *HEURISTIC algorithms, *ANTS, *ALGORITHMS
Abstract: To overcome the lengthy search time, massive space occupation, and overlong planned path of the traditional A* algorithm, this paper integrates the bidirectional search with the intelligent ant colony algorithm to obtain the heuristic function selection factor, and uses the factor to improve the evaluation function of the algorithm. The simulation results show that the improved algorithm achieved better dynamic navigation than the traditional A* algorithm both in search time and distance, featuring shorter path searching time and the algorithm running time. Therefore, the result of this research has effectively reduced the search time and enhanced the dynamic search. [ABSTRACT FROM AUTHOR]
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Database: Academic Search Complete
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ISSN:09208542
DOI:10.1007/s11227-020-03303-0
Published in:Journal of Supercomputing
Language:English