I-CMOMMT: A multiagent approach for patrolling and observation of mobile targets with a continuous environment representation

Authors / Editors

Research Areas

No matching items found.

Publication Details

Output type: Conference proceeding

UM6P affiliated Publication?: Yes

Author list: Chahal J., Belbachir A., Seghrouchni A.E.F.

Editor list: Chahal J.,Belbachir A.,Seghrouchni A.E.F.

Publication year: 2021

Volume number: 2021-July

Start page: 21

End page: 24

ISBN: 1891706527

ISSN: 2325-9000

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114283618&doi=10.18293%2fSEKE2021-135&partnerID=40&md5=d469f120f58c3c27f3cebbc3cc943fd2

Languages: English (EN-GB)

View on publisher site


Agent-based modelling has been widely studied for observing moving targets and patrolling. However, in general, the studies are interested either in observation in a continuous environment or patrolling in a graph representation. In order to deal jointly with observation and patrolling, a common representation of the environment is required. In this paper, we firstly proposed a new environment representation's formalism, merging both agent-based distributed patrol and observation method. Secondly, we implemented a new approach called I-CMOMMT to cope with a trade-off between observation and patrolling using our new formalism. The obtained results are compared with other methods to show the efficiency of our approach. © 2021 Knowledge Systems Institute Graduate School. All rights reserved.


No matching items found.


No matching items found.

Last updated on 2021-26-11 at 23:16