The DMRTS method uses an insertion criterion based on similarity and a dynamic tournament size to preserve good, distinct solutions in the genetic algorithm population.
The proposed method automatically nucleates holes within the design domain during the optimisation process using a topological derivative based hole insertion criterion.
Using a similarity threshold-based and a local error-based insertion criterion, the system is able to grow incrementally and to accommodate input patterns of on-line non-stationary data distribution.
Two limitations of this study were not considered as exclusion criteria: the insertion of the lingual frenulum and the presence of hearing problems.
RFLP analysis using the IS6110 insertion sequence represents the standard criterion for differentiating M. tuberculosis, but it is insufficiently discriminating for M bovis due to the paucity of IS6110 elements in the genome of this bacterium.
Simulation results show how the described approach outperforms both the periodical SP insertion and the allocation criterion introduced in[10] for all the buffer sizes.
Objections to cluster analysis as an 'unsupervised' technique only to be used in abductive hypothesis generating – with the resulting clusters requiring 'validation' against some other criterion and insertion into a hypothesis testing framework [27] – are of little relevance to our approach.
