Ant colony algorithm based on multiple state transition operators

2020 ◽  
Author(s):  
Wanrong Tan ◽  
Jun Rao ◽  
Jian Gao
Keyword(s):  
Ant Colony Algorithm ◽  
State Transition ◽  
Ant Colony ◽  
Multiple State ◽  
Transition Operators

Path planning of mobile robot based on adaptive ant colony algorithm

2020 ◽  
Vol 39 (4) ◽  
pp. 5329-5338
Author(s):  
Yan Zheng ◽  
Qiang Luo ◽  
Haibao Wang ◽  
Changhong Wang ◽  
Xin Chen
Keyword(s):  
Path Planning ◽  
Ant Colony Algorithm ◽  
State Transition ◽  
Ant Colony ◽  
Local Optimum ◽  
Heuristic Function ◽  
State Transfer ◽  
Transition Rules ◽  
Adaptive Heuristic ◽  
State Transition Rules

The traditional ant colony algorithm has some problems, such as low search efficiency, slow convergence speed and local optimum. To solve those problems, an adaptive heuristic function is proposed, heuristic information is updated by using the shortest actual distance, which ant passed. The reward and punishment rules are introduced to optimize the local pheromone updating strategy. The state transfer function is optimized by using pseudo-random state transition rules. By comparing with other algorithms’ simulation results in different simulation environments, the results show that it has effectiveness and superiority on path planning.

Data association method of SLAM based on ant colony algorithm

2009 ◽  
Vol 29 (1) ◽  
pp. 136-138 ◽  
Author(s):  
Wen-jing ZENG ◽  
Tie-dong ZHANG ◽  
Yu-ru XU ◽  
Da-peng JIANG
Keyword(s):  
Ant Colony Algorithm ◽  
Data Association ◽  
Ant Colony ◽  
Association Method
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