Fault tolerant control using Cartesian genetic programming
Yoshikazu Hirayama, Tim Clarke, Julian Francis Miller · 2008
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.