Hi Todor,
On Tue, May 14, 2019 at 3:06 AM Todor Balabanov <todor.balabanov@xxxxxxxxx> wrote:
Hello!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:
MIN_FACTOR
MAX_FACTOR
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?
It sounds good to me. I don't think many developers have a great knowledge of nlpsolver so feel free to change that if it actually helps to iterate towards a solution faster. I'm sure since nlpsolver was written there were quite some advances in DE and PSO algorithms, which we could incorporate.
All the best,Todor
Best Regards,
Tomaž Vajngerl
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