Evolution of UAV controllers using genetic programming
Abstract: Autonomous navigation controllers were developed for fixed wing unmanned aerial vehicle (UAV) applications using multi-objective genetic programming (GP). Four fitness functions derived from flight simulations were designed and multi-objective GP was used to evolve controllers able to locate a radar source, navigate the UAV to the source efficiently using on-board sensor measurements, and circle around the emitter. Controllers were evolved for three different kinds of radars: stationary,... (Update)
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BibTeX entry: (Update)
Oh, C.K., Barlow, G.J.: Autonomous controller design for unmanned aerial vehicles using multi-objective genetic programming. In: Proceedings of the Congress on Evolutionary Computation, Portland, OR (2004) http://citeseer.ist.psu.edu/article/barlow04utonomous.html More
@inproceedings{ barlow2004-geccogsw,
author = {Gregory J. Barlow},
title = {Autonomous Controller Design for Unmanned Aerial Vehicles using Multi-objective Genetic Programming},
booktitle = {Proceedings of the Graduate Student Workshop at the 2004 Genetic and Evolutionary Computation Conference ({GECCO}-2004)},
month = {June},
year = {2004},
address = {Seattle, WA},
note = {Winner of Best Paper award at the Graduate Student Workshop at the 2004 Genetic and Evolutionary Computation Conference ({GECCO}-2004)},
url = {citeseer.ist.psu.edu/article/barlow04utonomous.html} }
Citations (may not include all citations):
471
Genetic Programming
- Koza - 1992
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A fast and elitist multiobjective genetic algorithm: NSGA-II
- Deb, Agrawal et al. - 2002
20
Evolutionary Robotics (context) - Nolfi, Floreano - 2000
1
Design of autonomous navigation controllers for unmanned aer.. (context) - Barlow - 2004
1
Autonomous controller design for unmanned aerial vehicles us..
- Oh, Barlow - 2004
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