Problem with
my seeding approach: All the good solutions are clustered in local optima.
The
feature-rich seed has 5704 selected features. Subsequent good solutions are only slightly different.
What to do:
·
Make a cluster of good solutions, with a variety of
“richness”…
·
OR, better yet: let the user introduce reference
points. Instead of seeking to minimize the objective, minimize the difference (desired
point – actual point)
o
Desired number of features
o
Desired number of defects
o
Desired number of used before
o
Desired cost
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