文章基本信息

标题：Meta-Heuristic Ant Colony Algorithm for Multi-Tasking Assignment on Collaborative AUVs
本地全文：下载
作者：Jian Jun Li ; Ru Bo Zhang ; Yu Yang 等
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2015
卷号：8
期号：3
页码：135-144
DOI：10.14257/ijgdc.2015.8.3.14
出版社：SERSC
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.
关键词：Ant Colony Optimization; Multi-AUVs; Task Assignment; Meta-Heuristic ; Algorithm