Meta-Heuristic Ant Colony Algorithm for Multi-Tasking Assignment on Collaborative AUVs

被引：4
|
作者：
Li, Jian Jun [1 ,3 ]
Zhang, Ru Bo [1 ,2 ]
Yang, Yu [3 ]
机构：
[1] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Peoples R China
[2] Dalian Nationalities Univ, Coll Electromech & Informat Engn, Liaoning Dalian 116600, Peoples R China
[3] Harbin Univ Commerce, Sch Comp & Informat Engn, Harbin 150028, Peoples R China
来源：
INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING | 2015年 / 8卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Ant Colony Optimization; Multi-AUVs; Task Assignment; Meta-Heuristic Algorithm;
D O I：
10.14257/ijgdc.2015.8.3.14
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Multiple Unmanned Underwater Vehicles Is a typical combinatorial optimization problem, to achieve multiple AUV, coordinated, collaborative tasks to complete complex jobs subsea. Through analyzing the ant colony optimization algorithm, the paper proposed An Meta-heuristic ant colony optimization algorithm the Implementation to solve the multi AUVs to achieve the task allocation problem, and had simulation test based on the consolidated analyze the advantages of multiple unmanned underwater vehicle. results show that the ant colony optimization algorithms in solving multi-task allocation problem of multiple unmanned underwater vehicle showed a good performance.
引用
收藏
页码：135 / 143
页数：9
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