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UAV Swarm Mission Planning and Routing using Multi-Objective Evolutionary Algorithms

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3 Author(s)
Lamont, G.B. ; Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH ; Slear, J.N. ; Melendez, K.

The purpose of this research is to design and implement a comprehensive mission planning system for swarms of autonomous aerial vehicles (UAV). The system integrates several problem domains including path planning, vehicle routing, and swarm behavior as based upon a hierarchical architecture. The developed system consists of a parallel, multi-objective evolutionary algorithm-based terrain-following parallel path planner and an evolutionary algorithm-based vehicle router. Objectives include minimizing cost and risk generally associated with a three dimensional vehicle routing problem (VRP). The culmination of this effort is the development of an extensible developmental path planning model integrated with swarm behavior and tested with a parallel UAV simulation. Discussions on the system's capabilities are presented along with recommendations for further development.

Published in:

Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on

Date of Conference:

1-5 April 2007

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