Performance Evaluation of Multi-UAV Cooperative Mission Planning Models

被引:9
|
作者
Ramirez-Atencia, Cristian [1 ]
Bello-Orgaz, Gema [1 ]
R-Moreno, Maria D. [2 ]
Camacho, David [1 ]
机构
[1] Univ Autonoma Madrid, Dept Ingn Informat, E-28049 Madrid, Spain
[2] Univ Alcala, Dept Automat, Madrid 28871, Spain
关键词
Unmanned aircraft systems; Mission planning; Constraint satisfaction problems; Branch and bound; NAVIGATION;
D O I
10.1007/978-3-319-24306-1_20
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Multi-UAV Cooperative Mission Planning Problem (MCMPP) is a complex problem which can be represented with a lower or higher level of complexity. In this paper we present a MCMPP which is modelled as a Constraint Satisfaction Problem (CSP) with 5 increasing levels of complexity. Each level adds additional variables and constraints to the problem. Using previous models, we solve the problem using a Branch and Bound search designed to minimize the fuel consumption and number of UAVs employed in the mission, and the results show how runtime increases as the level of complexity increases in most cases, as expected, but there are some cases where the opposite happens.
引用
收藏
页码:203 / 212
页数:10
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