DocumentCode
2893030
Title
An Extension of the Consensus-Based Bundle Algorithm for Multi-agent Tasks with Task Based Requirements
Author
Hunt, Sarah ; Meng, Qinghu ; Hinde, C.J.
Author_Institution
Dept. of Comput. Sci., Loughborough Univ., Loughborough, UK
Volume
2
fYear
2012
fDate
12-15 Dec. 2012
Firstpage
451
Lastpage
456
Abstract
This paper addresses the problem of multi-agent, multi-task assignment with multiple agent requirements on tasks for unmanned aerial vehicles by presenting the Consensus Based Grouping Algorithm. The algorithm is an extension of the Consensus Based Bundle Algorithm that converges to a conflict free, feasible solution of which previous algorithms are unable to account for. Furthermore the algorithm creates a framework to take into account task based requirements, deadlocking and a method to store assignments for a dynamical environment.
Keywords
autonomous aerial vehicles; multi-agent systems; task analysis; consensus based grouping algorithm; consensus-based bundle algorithm; multiagent assignment; multiagent requirement; task based requirement; unmanned aerial vehicle; Algorithm design and analysis; Computer science; Educational institutions; Receivers; Resource management; Unmanned aerial vehicles; Vectors; CBAA; CBBA; CBGA; Consensus; Cooperation; Task Allocation; UAV;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications (ICMLA), 2012 11th International Conference on
Conference_Location
Boca Raton, FL
Print_ISBN
978-1-4673-4651-1
Type
conf
DOI
10.1109/ICMLA.2012.163
Filename
6406777
Link To Document