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Comparing Multi-Objective Approaches for Air Route Planning in Hostile Environments
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))
2015 (English)In: CD-ROM Proceedings of The 12th International Conference on Modeling Decisions for Artificial Intelligence, 2015, 60-71 p.Conference paper (Refereed)
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.

Place, publisher, year, edition, pages
2015. 60-71 p.
Keyword [en]
Multi-objective optimization, route planning, path planning, aircraft, uav
National Category
Computer and Information Science
Research subject
URN: urn:nbn:se:his:diva-11616ISBN: 978-91-637-9363-9OAI: diva2:861569
The 12th International Conference on Modeling Decisions for Artificial Intelligence (MDAI), Skövde, Sweden, September 21-23, 2015
Available from: 2015-10-18 Created: 2015-10-16 Last updated: 2016-01-26Bibliographically approved

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Erlandsson, Tina
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