Open AccessComputer Application of Game Map Path Finding Based on Fuzzy Logic Dynamic Hierarchical Ant Colony Algorithm
Author(s) -
Yangyang Jiang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/3/032092
Subject(s) - ant colony optimization algorithms , path (computing) , computer science , ant colony , motion planning , fuzzy logic , artificial intelligence , algorithm , range (aeronautics) , robot , engineering , programming language , aerospace engineering
Ant colony algorithm has a wide range of application value in robot path planning. When the robot encounters obstacles, it can find the optimal path in the model space according to relevant performance indexes, and the collision times from the starting point to the target position are the least. In this paper, the research significance of ant colony algorithm in game map path finding is briefly discussed, and the application of ant colony algorithm in map path finding is explained for readers’ reference.