optguess parameter in SCEUA not working as expected

[ssheeder]

I'm attempting to use the SCEUA algorithm to calibrate a series of hydrologic models. Documentation suggests that the 'optguess' parameter can be used to indicate where the algorithm should start the search. But when I specify values for this parameter, output results indicate that it is not being used. Perhaps an issue, or perhaps a misunderstanding of the functionality. Can anyone help?

class spotpy_setup(object):
df_par_ranges = pd.read_excel(xl_wb, sheet_name="parameter_ranges",
dtype={"AWC":float, "Seepage":float,
"WinRCoeff":float, "SumRCoeff":float, "CNMulti":float, "WinStart":int,
"WinEnd":int, "StartGrowSeason":int, "EndGrowSeason":int, "GrowSeasonCoverFactor":float,
"DormSeasonCoverFactor":float, "WaterETFactor":float, "Infiltration Rate (Water)":float,
"mavel":float, "Recession Coeff":float})
awc = Uniform(df_par_ranges['AWC'][0], df_par_ranges['AWC'][1], optguess= df_par_ranges['AWC'][2])
seepage = Uniform(df_par_ranges['Seepage'][0], df_par_ranges['Seepage'][1], optguess= df_par_ranges['Seepage'][2])
etc...

[thouska]

Hi @ssheeder,
thank you for your message and for using spotpy for your research. Indeed the "optguess" setting is curreently used in the simulated annealing (sa) algorithm only. Implementation for all other algorithms still needs to be done.

[ssheeder]

@thouska, Thanks for the quick reply! I might take a quick look through the code to determine level of effort to implement. Will let you know if I can find the time.