TY - GEN
T1 - The diagnostic dendritic cell algorithm for robotic systems
AU - Bi, Ran
AU - Timmis, Jon
AU - Tyrrell, Andy
PY - 2010
Y1 - 2010
N2 - This paper presents a lightweight, immune-inspired system for the diagnosis of faults. We adapt the dendritic cell algorithm, to develop the Diagnostic Dendritic Cell Algorithm (D-DCA) to afford on-line diagnosis of stuck-at-fault conditions. Our work shows that the D-DCA is capable of successfully diagnosing simple faults within an acceptable time frame, with an acceptable accuracy.
AB - This paper presents a lightweight, immune-inspired system for the diagnosis of faults. We adapt the dendritic cell algorithm, to develop the Diagnostic Dendritic Cell Algorithm (D-DCA) to afford on-line diagnosis of stuck-at-fault conditions. Our work shows that the D-DCA is capable of successfully diagnosing simple faults within an acceptable time frame, with an acceptable accuracy.
UR - http://www.scopus.com/inward/record.url?scp=79959455640&partnerID=8YFLogxK
U2 - 10.1109/CEC.2010.5586499
DO - 10.1109/CEC.2010.5586499
M3 - Conference Proceeding (Non-Journal item)
AN - SCOPUS:79959455640
SN - 9781424469109
T3 - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
T2 - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
Y2 - 18 July 2010 through 23 July 2010
ER -