Sciweavers

Share
GECCO
2005
Springer

Evolving cooperative strategies for UAV teams

10 years 4 months ago
Evolving cooperative strategies for UAV teams
We present a Genetic Programming approach to evolve cooperative controllers for teams of UAVs. Our focus is a collaborative search mission in an uncertain and/or hostile environment. The controllers are decision trees constructed from a set of low-level functions. Evolved decision trees are robust to changes in initial mission parameters and approach the optimal bound for time-to-completion. We compare results between steady-state and generational approaches, and examine the effects of two common selection operators. Categories and Subject Descriptors I.2.2 [Automatic Programming]: [Program Synthesis]; I.2.11 [Distributed Artificial Intelligence]: [Multiagent Systems] General Terms Experimentation, Performance Keywords Autonomous control, cooperative agents, genetic programming, simulated robotics
Marc D. Richards, L. Darrell Whitley, J. Ross Beve
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Marc D. Richards, L. Darrell Whitley, J. Ross Beveridge, Todd Mytkowicz, Duong Nguyen, David Rome
Comments (0)
books