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A genetic mission planner for solving temporal multi-agent problems with concurrent tasks
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-5224-8302
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-5832-5452
2017 (engelsk)Inngår i: Lecture Notes in Computer Science, vol. 10386, Springer Verlag , 2017, s. 481-493Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In this paper, a centralized mission planner is presented. The planner employs a genetic algorithm for the optimization of the temporal planning problem. With the knowledge of agents’ specification and capabilities, as well as constraints and parameters for each task, the planner can produce plans that utilize multi-agent tasks, concurrency on agent level, and heterogeneous agents. Numerous optimization criteria that can be of use to the mission operator are tested on the same mission data set. Promising results and effectiveness of this approach are presented in the case study section. 

sted, utgiver, år, opplag, sider
Springer Verlag , 2017. s. 481-493
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10386
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-36246DOI: 10.1007/978-3-319-61833-3_51ISI: 000439782400051Scopus ID: 2-s2.0-85026782436ISBN: 9783319618326 (tryckt)OAI: oai:DiVA.org:mdh-36246DiVA, id: diva2:1133935
Konferanse
8th International Conference on Swarm Intelligence, ICSI 2017; Fukuoka; Japan; 27 July 2017 through 1 August 2017
Tilgjengelig fra: 2017-08-17 Laget: 2017-08-17 Sist oppdatert: 2018-08-17bibliografisk kontrollert

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Çürüklü, BaranEkström, Mikael

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