Projects per year
This work is a study of the viability of using complex building blocks (termed molecules) within the evolutionary computation paradigm of COP; extending it to MolCGP. Increasing the complexity of the building blocks increases the design space that is to be explored to find a solution; thus, experiments were undertaken to find out whether this change affects the optimum parameter settings required. It was observed that the same degree of neutrality and (greedy) 1+4 evolution strategy gave optimum performance. The Computational Effort used to solve a series of benchmark problems was calculated, and compared with that used for the standard implementation of COP. Significantly less Computational Effort was exerted by MolCOP in 3 out of 4 of the benchmark problems tested. Additionally, one of the evolved solutions to the 2-bit multiplier problem was examined, and it was observed that functionality present in the molecules, was exploited by evolution in a way that would be highly unlikely if using standard design techniques.
|Number of pages||12|
|Journal||9th International Conference on Evolvable Systems|
|Publication status||Published - Sep 2010|
- 1 Finished
SABRE: Self-healing Cellular Architectures
Tyrrell, A., Liu, J., Qadir, O., Tempesti, G. & Timmis, J.
1/10/08 → 30/09/11
Project: Research project (funded) › Research