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Comparing Multi-Objective Approaches for Air Route Planning in Hostile Environments
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))
2015 (engelsk)Inngår i: CD-ROM Proceedings of The 12th International Conference on Modeling Decisions for Artificial Intelligence, 2015, s. 60-71Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Route planning for aircraft that should fly in hostile environmentscan be regarded as a multi-objective optimization problem, where the route should enable the aircraft to accomplish its mission tasks with a minimum risk exposure and minimum fuel consumption. This work compares different approaches for multi-objective route planning that have been suggested in the literature regarding their formulation of objectives as well as how they handle the decision maker’s preferences. It is concluded that most route planners minimize threat exposure and route length, but can also include altitude and flight dynamics constraints. Preferences regarding the objectives can be included in the route planning algorithms with weights or priorities. An alternative approach is that the route planner suggests a number of routes and thereafter lets the decision maker select the best one.

sted, utgiver, år, opplag, sider
2015. s. 60-71
Emneord [en]
Multi-objective optimization, route planning, path planning, aircraft, uav
HSV kategori
Forskningsprogram
Teknik; Skövde Artificial Intelligence Lab (SAIL)
Identifikatorer
URN: urn:nbn:se:his:diva-11616ISBN: 978-91-637-9363-9 (tryckt)OAI: oai:DiVA.org:his-11616DiVA, id: diva2:861569
Konferanse
The 12th International Conference on Modeling Decisions for Artificial Intelligence (MDAI), Skövde, Sweden, September 21-23, 2015
Forskningsfinansiär
VINNOVA, NFFP6Tilgjengelig fra: 2015-10-18 Laget: 2015-10-16 Sist oppdatert: 2018-03-28bibliografisk kontrollert

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