Title
Coordinated dynamic mission planning scheme for intelligent multi-agent systems
Abbreviated Journal Title
J. Cent. South Univ.
Keywords
weighted AND/OR tree; multiple intelligent agent; coordinated dynamic; mission planning; AOE-Network; TASK DECOMPOSITION; MULTIPROCESSOR; ENVIRONMENTS; SPEED; Metallurgy & Metallurgical Engineering
Abstract
Mission planning was thoroughly studied in the areas of multiple intelligent agent systems, such as multiple unmanned air vehicles, and multiple processor systems. However, it still faces challenges due to the system complexity, the execution order constraints, and the dynamic environment uncertainty. To address it, a coordinated dynamic mission planning scheme is proposed utilizing the method of the weighted AND/OR tree and the AOE-Network. In the scheme, the mission is decomposed into a time-constraint weighted AND/OR tree, which is converted into an AOE-Network for mission planning. Then, a dynamic planning algorithm is designed which uses task subcontracting and dynamic re-decomposition to coordinate conflicts. The scheme can reduce the task complexity and its execution time by implementing real-time dynamic re-planning. The simulation proves the effectiveness of this approach.
Journal Title
Journal of Central South University
Volume
19
Issue/Number
11
Publication Date
1-1-2012
Document Type
Article
Language
English
First Page
3170
Last Page
3179
WOS Identifier
ISSN
2095-2899
Recommended Citation
"Coordinated dynamic mission planning scheme for intelligent multi-agent systems" (2012). Faculty Bibliography 2010s. 3133.
https://stars.library.ucf.edu/facultybib2010/3133
Comments
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