Coordinated Target Assignment and Route Planning for Air Team Mission Planning
2016 (English)In: Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference / [ed] Zdravko Markov and Ingrid Russell, Palo Alto, California: AAAI Press, 2016, 38-43 p.Conference paper (Refereed)
Planning air missions for a team flying in hostile environmentsis a complex task, since multiple interrelated goalsneed to be considered, e.g., performing the mission tasks andavoiding enemy fire. The target assignment and route planningfor the team should therefore be performed in a coordinatedway. The mission planner suggested in this work combinesgenetic algorithms and particle swarm optimization inorder to solve these two problems in an interconnected manner.Simulations are used for testing and analyzing the approach.It is concluded that the mission planner is able tosuggest suitable plans in complex scenarios with three interrelatedobjectives: low risk exposure, high mission effectivenessand short route length.
Place, publisher, year, edition, pages
Palo Alto, California: AAAI Press, 2016. 38-43 p.
Team mission planning, target assignment, route planning, path planning, particle swarm optimization, genetic algorithms
Research subject Technology
IdentifiersURN: urn:nbn:se:his:diva-13414ISBN: 978-1-57735-756-8 (print)OAI: oai:DiVA.org:his-13414DiVA: diva2:1078222
FLAIRS 2016, Key Largo, Florida. May 16–18, 2016
ProjectsHuman-machine interaction for distributed decision-making