Swarm approaches for the patrolling problem, information propagation vs. pheromone evaporation

被引:35
作者
Chu, Hoang-Nam [1 ,2 ]
Glad, Arnaud [1 ]
Simonin, Olivier [1 ]
Sempe, Francois [2 ]
Drogoul, Alexis [2 ,3 ]
Charpillet, Francois [1 ]
机构
[1] Inst Natl Rech Informat & Automat Lorraine, MAIA, Campus Sci,BP 239, F-54506 Vandoeuvre Les Nancy, France
[2] Inst Francophonie Informat, Hanoi, Vietnam
[3] Inst Rech Dev, Bondy, France
来源
19TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL I, PROCEEDINGS | 2007年
关键词
multi-agent patrolling; reactive multi-agents system; digital pheromones;
D O I
10.1109/ICTAI.2007.80
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper deals with the multi-agent patrolling problem in unknown environment using two collective approaches exploiting environmental dynamics. After specifying criteria of performances, we define a first algorithm based only on the evaporation of a pheromone dropped by reactive agents (EVAP). Then we present the model CLInG [10] proposed in 2003 which introduces the diffusion of the idleness of areas to visit. We systematically compare by simulations the performances of these two models on growing-complexity environments. The analysis is supplemented by a comparison with the theoretical optimum performances, allowing to identify topologies for which methods are the most adapted.
引用
收藏
页码:442 / +
页数:2
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