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Design of Autonomous Navigation Controllers for Unmanned Aerial Vehicles Using Multi-objective Genetic Programming

. North Carolina State University, Raleigh, NC, USA, (March 2004)

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Incremental Evolution of Autonomous Controllers for Unmanned Aerial Vehicles using Multi-objective Genetic Programming, , and . Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS), page 688--693. Singapore, IEEE, (1-3 December 2004)A colony of robots using vision sensing and evolved neural controllers., , , and . IROS, page 2273-2278. IEEE, (2003)Smart Urban Signal Networks: Initial Application of the SURTRAC Adaptive Traffic Signal Control System., , , and . ICAPS, AAAI, (2013)Using memory models to improve adaptive efficiency in dynamic problems., and . CISched, page 7-14. IEEE, (2009)Robustness analysis of genetic programming controllers for unmanned aerial vehicles., and . GECCO, page 135-142. ACM, (2006)Improving Memory for Optimizatioin and Learning in Dynamic Environments.. Carnegie Mellon University, USA, (2011)Real-time traffic control for sustainable urban living., , , and . ITSC, page 1863-1868. IEEE, (2014)Evolving cooperative control on sparsely distributed tasks for UAV teams without global communication., , and . GECCO, page 177-184. ACM, (2008)A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems., and . EvoWorkshops, volume 4974 of Lecture Notes in Computer Science, page 606-615. Springer, (2008)Dynamic Leadership Protocol for S-nets., , , and . ICRA, page 1091-1096. IEEE, (2004)