<paragraph xml-lang="mk" id="par_id0503200917103780" role="tablecontent" l10n="NEW">Size of Swarm</paragraph>
</tablecell>
<tablecell>
<paragraph xml-lang="mk" id="par_id0503200917103723" role="tablecontent" l10n="NEW">… defines the number of individuals to participate in the learning process. Each individual finds its own solutions and contributes to the overall knowledge.</paragraph>
<paragraph xml-lang="mk" id="par_id0503200917103720" role="tablecontent" l10n="NEW">… defines the number of iterations, the algorithm should take. In each iteration, all individuals make a guess on the best solution and share their knowledge.</paragraph>
<paragraph xml-lang="mk" id="par_id050320091710378" role="tablecontent" l10n="NEW">If enabled (default), the algorithm tries to find variable bounds by looking at the starting values.</paragraph>
<paragraph xml-lang="mk" id="par_id0503200917103710" role="tablecontent" l10n="NEW">When guessing variable bounds, this threshold specifies, how the initial values are shifted to build the bounds. For an example how these values are calculated, please refer to the Manual in the Wiki.</paragraph>
<paragraph xml-lang="mk" id="par_id0503200917103766" role="tablecontent" l10n="NEW">If <emph>disabled</emph> (default), the BCH Comparator is used. It compares two individuals by first looking at their constraint violations and only if those are equal, it measures their current solution.</paragraph>
<paragraph xml-lang="mk" id="par_id0503200917103744" role="tablecontent" l10n="NEW">If <emph>enabled</emph>, the ACR Comparator is used. It compares two individuals dependent on the current iteration and measures their goodness with knowledge about the libraries worst known solutions (in regard to their constraint violations).</paragraph>
</tablecell>
</tablerow>
<tablerow>
<tablecell>
<paragraph xml-lang="mk" id="par_id0503200917103792" role="tablecontent" l10n="NEW">Use Random Starting Point</paragraph>
</tablecell>
<tablecell>
<paragraph xml-lang="mk" id="par_id0503200917103790" role="tablecontent" l10n="NEW">If <emph>enabled</emph>, the library is simply filled up with randomly chosen points.</paragraph>
<paragraph xml-lang="mk" id="par_id0503200917103765" role="tablecontent" l10n="NEW">If <emph>disabled</emph>, the currently present values (as given by the user) are inserted in the library as reference point.</paragraph>
<paragraph xml-lang="mk" id="par_id050320091710377" role="tablecontent" l10n="NEW">If this number of individuals found solutions within a close range, the iteration is stopped and the best of these values is chosen as optimal.</paragraph>
<paragraph xml-lang="mk" id="par_id0503200917103834" role="tablecontent" l10n="NEW">Defines in what range solutions are considered ΓÇ£similarΓÇ¥.</paragraph>
<paragraph xml-lang="mk" id="par_id0503200917103832" role="tablecontent" l10n="NEW">If <emph>enabled</emph>, an additional dialog is shown during the solving process which gives information about the current progress, the level of stagnation, the currently best known solution as well as the possibility, to stop or resume the solver.</paragraph>
<paragraph xml-lang="mk" id="par_id0603200910394248" role="tablecontent" l10n="NEW">Specifies the probability for an individual to choose the Differential Evolution strategy.</paragraph>
<paragraph xml-lang="mk" id="par_id0603200910394280" role="tablecontent" l10n="NEW">… defines the probability of the individual being combined with the globally best point. If crossover is not used, the point is assembled from the own memory of the individual.</paragraph>
<paragraph xml-lang="mk" id="par_id060320091039424" role="tablecontent" l10n="NEW">During crossover, the scaling factor decides about the ΓÇ£speedΓÇ¥ of movement.</paragraph>
<paragraph xml-lang="mk" id="par_id0603200910394225" role="tablecontent" l10n="NEW">… defines the speed at which the particles/individuals move towards each other.</paragraph>
<paragraph xml-lang="mk" id="par_id0603200910394212" role="tablecontent" l10n="NEW">… sets the importance of the own memory (in particular the best reached point so far).</paragraph>
</tablecell>
</tablerow>
<tablerow>
<tablecell>
<paragraph xml-lang="mk" id="par_id0603200910394292" role="tablecontent" l10n="NEW">PS: Social Constant</paragraph>
</tablecell>
<tablecell>
<paragraph xml-lang="mk" id="par_id0603200910394284" role="tablecontent" l10n="NEW">… sets the importance of the global best point between all particles/individuals.</paragraph>
<paragraph xml-lang="mk" id="par_id0603200910394272" role="tablecontent" l10n="NEW">… defines the probability, that instead of moving a component of the particle towards the best point, it randomly chooses a new value from the valid range for that variable.</paragraph>
<paragraph xml-lang="mk" id="par_id0603200910401382" role="tablecontent" l10n="NEW">Size of Library</paragraph>
</tablecell>
<tablecell>
<paragraph xml-lang="mk" id="par_id060320091040136" role="tablecontent" l10n="NEW">… defines the amount of information to store in the public library. Each individual stores knowledge there and asks for information.</paragraph>