Representation in the (Artificial) Immune System
McEwan, C., & Hart, E. (2009)
Representation in the (Artificial) Immune System. Journal of Mathematical Modelling and Algorithms, 8, 125-149. https://doi.org/10.1007/s10852-009-9104-6
Much of contemporary research in Artificial Immune Systems (AIS) has partitioned into either algorithmic machine learning and optimisation, or, modelling biologically plausibl...
Computing the State of Specknets: further analysis of an innate immune-inspired model.
Davoudani, D., Hart, E., & Paechter, B. (2008)
Computing the State of Specknets: further analysis of an innate immune-inspired model. In P. Bentley, D. Lee, & S. Jung (Eds.), Artificial Immune Systems, 7th International Conference, ICARIS 2008, Phuket, Thailand, August 2008, Proceedings, 95-106. https://doi.org/10.1007/978-3-540-85072-4
Specknets consist of hundreds of miniature devices, which are each capable of processing data and communicating wirelessly across short distances. Such networks, with their gr...
Dendritic cell trafficking: from Immunology to Engineering.
Hart, E., & Davoudani, D. (2009)
Dendritic cell trafficking: from Immunology to Engineering. In Artificial Immune Systems. , (11-13). https://doi.org/10.1007/978-3-642-03246-2_4
The field of Artificial Immune Systems (AIS) has derived inspiration from many different elements of the natural immune system in order to develop engineered systems that oper...
Structure versus function: a topological perspective on immune networks
Hart, E., Bersini, H., & Santos, F. (2009)
Structure versus function: a topological perspective on immune networks. Natural Computing, https://doi.org/10.1007/s11047-009-9138-8
Many recent advances have been made in understanding the functional implications of the global topological properties of biological networks through the application of complex...
A novel low power FSM partition approach and its implementation.
Xia, Y., Ye, X., Wang, L. Y., Tao, J. & Almaini, A. E. A. (2005)
A novel low power FSM partition approach and its implementation. NORCHIP Conference. , 102-105. doi:10.1109/NORCHP.2005.1596999
A new Finite State Machine (FSM) partioning approach is proposed in this paper. A genetic algorithm (GA) is employed to search the optimal or near optimal solution. A new cost...
Lattice-based modelling of thesauri.
Priss, U. & Old, L. J. (2007)
Lattice-based modelling of thesauri
This paper revisits ideas about the use of lattices as underlying conceptual structures in information retrieval and machine translation as suggested by researchers in the 195...
FPGA placement using genetic algorithm with simulated annealing.
Yang, M., Almaini, A. E. A., Wang, L. Y. & Wang, P. (2005)
FPGA placement using genetic algorithm with simulated annealing. ASICON. 2, 808-811. doi:10.1109/ICASIC.2005.1611450
A mixed Genetic Algorithm and Simulated Annealing (GASA) algorithm is used for the placement of symmetrical FPGA. The prpoposed algortithm includes 2 stage processes. In the f...