abstract = "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.",
notes = "GECCO-2008 A joint meeting of the seventeenth
international conference on genetic algorithms
(ICGA-2008) and the thirteenth annual genetic
programming conference (GP-2008).
ACM Order Number 910081. Also known as \cite{1389389}",