> Is there somebody who can explain how "density" actually works for
> divide and conquer optimization algorithm?

The "density" setting for the D&C optimizer lets you control the trade-
off between the search speed and quality. The higher the density, the
longer it takes for the D&C optimizer to complete the search, and the
denser is the search space coverage. For simplicity, assume that a
strategy has only one parameter in the range of 0 to 10000. With the
low density setting, D&C optimizer may poke the search space at 100
increments: 0, 100, 200, etc. With the higher density setting, it
would poke more frequently, for example 0, 10, 20, 30, etc.

The way D&C works is that it covers the entire search space with
something like a fishing net, and the holes in the net get
progressively smaller with each iteration. This can be clearly seen on
the optimization map after the D&C is done. You can also pop up the
optimization map while the optimization is in progress to see how D&C
picks certain regions of the search space.
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