Fault tolerant control using Cartesian genetic programming

Yoshikazu Hirayama, Tim Clarke, Julian Francis Miller
2008 Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08  
The paper focuses on the evolution of algorithms for control of a machine in the presence of sensor faults, using Cartesian Genetic Programming. The key challenges in creating training sets and a fitness function that encourage a general solution are discussed. The evolved algorithms are analysed and discussed. It was found that highly novel, mathematically elegant and hitherto unknown solutions were found.
doi:10.1145/1389095.1389389 dblp:conf/gecco/HirayamaCM08 fatcat:j7hpyu447zdl5pgbcgaveqppsu