On AIRS and clonal selection for machine learning
Conference Proceeding
McEwan, C., & Hart, E. (2009)
On AIRS and clonal selection for machine learning. In Artificial Immune Systems. , (67-79). https://doi.org/10.1007/978-3-642-03246-2_11
Many recent advances have been made in understanding the functional implications of the global topological properties of biological networks through the application of complex...
Immuno-engineering
Conference Proceeding
Timmis, J., Hart, E., Hone, A., Neal, M., Robins, A., Stepney, S., & Tyrrell, A. (2008)
Immuno-engineering. In M. Hinchey, A. Pagnoni, F. J. Rammig, & H. Schmeck (Eds.), Biologically-inspired collaborative computing. , (3-18). https://doi.org/10.1007/978-0-387-09655-1_2
In this position paper, we outline a vision for a new type of engineering: immuno-engineering, that can be used for the development of biologically grounded and theoretically ...
Revisiting the Central and Peripheral Immune System
Conference Proceeding
McEwan, C., Hart, E., & Paechter, B. (2006)
Revisiting the Central and Peripheral Immune System. In Artificial Immune Systems. ICARIS 2007, 240-251. doi:10.1007/978-3-540-73922-7_21
The idiotypic network has a long and chequered history in both theoretical immunology and Artificial Immune Systems. In terms of the latter, the drive for engineering applicat...
An Immune-Inspired Approach to Speckled Computing
Conference Proceeding
Davoudani, D., Hart, E., & Paechter, B. (2006)
An Immune-Inspired Approach to Speckled Computing. In L. de Castro, F. Von Zuben, & H. Knidel (Eds.), Artificial Immune Systems. ICARIS 2007, 288-299. doi:10.1007/978-3-540-73922-7_25
Speckled Computing offers a radically new concept in information technology that has the potential to revolutionise the way we communicate and exchange information. Specks — m...
Clustering Moving Data with a Modified Immune Algorithm
Conference Proceeding
Hart, E., & Ross, P. (2001)
Clustering Moving Data with a Modified Immune Algorithm. In E. Boers (Ed.), Applications of Evolutionary Computing, 394-403. https://doi.org/10.1007/3-540-45365-2_41
In this paper we present a prototype of a new model for performing clustering in large, non-static databases. Although many machine learning algorithms for data clustering hav...
A comparison of dominance mechanisms and simple mutation on non-stationary problems.
Conference Proceeding
Lewis, J., Hart, E., & Ritchie, G. (1998)
A comparison of dominance mechanisms and simple mutation on non-stationary problems. In Parallel Problem Solving from Nature-PPSN V. , (139-148). https://doi.org/10.1007/BFb0056857
It is sometimes claimed that genetic algorithms using diploid representations will be more suitable for problems in which the environment changes from time to time, as the add...
Producing robust schedules via an artificial immune system.
Conference Proceeding
Hart, E., Ross, P., & Nelson, J. (1998)
Producing robust schedules via an artificial immune system. In Proceedings of International Conference on Evolutionary Computing, 464-469. https://doi.org/10.1109/ICEC.1998.699852
This paper describes an artificial immune system (AIS) approach
to producing robust schedules for a dynamic jobshop
scheduling problem in which jobs arrive continually,
and th...