NLPSolver - range of FACTOR coefficient in Differential Evolution?
todor.balabanov at gmail.com
Mon May 13 18:06:36 UTC 2019
Currently DE implementation in NLPSover has a coefficient called FACTOR:
There are some researches about multiple values of the scaling factor:
My idea is FACTOR to be replaced with two coefficients:
We can keep default values for them 0.5, as it is in the source code now.
When we have MIN_FACTOR == MAX_FACTOR the algorithm will believe as it
behaves now. When we have MIN_FACTOR < MAX_FACTOR each time when FACTOR is
needed we can select random uniform value in the range.
What do you think?
All the best,
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