All Outputs (3)

Further Exploration of Necrotic Control of Evolved Art (2020)
Conference Proceeding
Ashlock, D., & Greensmith, J. (2020). Further Exploration of Necrotic Control of Evolved Art. In Proceedings - 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (2957-2964). https://doi.org/10.1109/SSCI47803.2020.9308363

This study is the second in investigating the use of necrosis based filtration as a method of steering evolutionary algorithms to create evolved art. We use a technique inspired by the danger theory of immune system activation - a method employed in... Read More about Further Exploration of Necrotic Control of Evolved Art.

Necrotic Control of the Aesthetics of Evolved Art (2020)
Conference Proceeding
Ashlock, D., & Greensmith, J. (2020). Necrotic Control of the Aesthetics of Evolved Art. In 2020 IEEE Congress on Evolutionary Computation (CEC): conference proceedings (1-8). https://doi.org/10.1109/CEC48606.2020.9185654

This study uses necrosis, a technique from the domain of artificial immune systems, to control the evolution of apoptotic cellular automata. These automata generate complex images that require a very small amount of initial data. The genes that yield... Read More about Necrotic Control of the Aesthetics of Evolved Art.

Migration threshold tuning in the deterministic dendritic cell algorithm (2019)
Book Chapter
Greensmith, J. (2019). Migration threshold tuning in the deterministic dendritic cell algorithm. In C. Martín-Vide, G. Pond, & M. A. Vega-Rodríguez (Eds.), Theory and Practice of Natural Computing: 8th International Conference, TPNC 2019, Kingston, ON, Canada, December 9–11, 2019: proceedings (122-133). Springer. https://doi.org/10.1007/978-3-030-34500-6_8

In this paper we explore the sensitivity of the migration threshold parameter in the Deterministic Dendritic Cell Algorithm (dDCA), one of the four main types of Artificial Immune System. This is with a view to the future construction of a DCA augmen... Read More about Migration threshold tuning in the deterministic dendritic cell algorithm.