NLPSolver - range of FACTOR coefficient in Differential Evolution?

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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?

All the best,
Todor

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