Immunology as a Metaphor for Computational ... - Napier University

of the antigen data is updated at each update for data sets in which S 2 and S Chapter 6. A Self-Organising SDM — SOSDM 172657¦ 06401¦ 061244¦ 06Number of Index of Average Lag Minimum Lag Maximum LagDefined Bits Update S=2 S=10 S=2 S=10 S=2 S=108 2 159.2 251.8 100 183 216 3653 276.6 613.4 187 309 364 13044 407.0 758.75 280 574 497 9415 611.0 372 657 846 65716 2 100.0 100 401 100 4013 138.2 100 1244 231 12444 128.2 ** 100 ** 165 **5 268.6 ** 143 ** 348 **32 2 146.8 187.0 100 132 206 2573 324.0 361.4 201 307 504 4804 121.6 300.4 100 248 208 3625 615.25 307.0 459 198 819 522* indicates that only one update was observed during 2000 iterations** indicates that no updates were observed during 2000 iterationsTable 6.6: The table compares the average lag between updates observed when 50%10. However, when S 2, this corresponds to replacing 1 cluster, when S 10 thiscorresponds to replacing 5 clusters.bits in each schema is 8 or 16, it is much more difficult for SOSDM to respond toreplacing 5 clusters. Indeed, in some experiments, the SOSDM never manages toreturn to within 1% of its previous best fitness before the limit of 2000 iterations isreached, and hence only one update is performed. Furthermore, the tables in appendixB shows that there is little observable difference in the average lag between updatesbetween experiments in which 1 out of a possible 10 clusters (and therefore 10% oftotal data) is updated and those in which 1 out of 2 clusters (and therefore 50% of totaldata) is replaced. Therefore, we can conclude that SOSDM seems much more sensitiveto changes in cluster position than changes in data.