Rules parameters are presented with standard XML syntax.
Then, it goes back to improve the structure again to find a better structure and re-fine tune the rules' parameters.
Starting with an initial structure, the system first tries to improve the structure and, then, as soon as an improved structure is found, it fine tunes its rules' parameters.
Rosmarinic acid has a TPSA value more in excess of threshold Veber's rule parameter, whereas Bisbenzylisoquinoline showed considerable mutagenicity.
Therefore, there are two separate sets of rule parameters.
The rule parameters were optimized by means of a neuro-fuzzy approach.
Here, new rule parameters are also prepared for use of the VM successor once it is successfully deployed.
Finally, the optimization rule parameters are updated for the new environment resource provision, which ends the optimization cycle.
Parameters are set to and to either (in Section 6.2) or, (see [30] for setting Exp rule parameters; typically gives good performance).
A simulation model is developed and linked with BOBYQA, an efficient optimization algorithm, to determine the optimal rule parameters in a stage-wise manner.
