Scipy differential_evolution initial guess x0 values?

How to pass some good x0 values to differential_evolution so that it does not have to start from "beginning" which is something 1.0435e+16 and then slowly decreasing ...

My simplified example. Scoring function func() returns the sum of (yestimate - y)^2 ... sum of error squares and DE is going to minimize it.

def func(parameters, *data):
    k1,k2,k3,v0 = parameters
    c,j,afff = data
    result = 0
    for i in range(len(c)):
        result += ( k1*c[i] + k2*j[i] + k3*(j[i]/c[i]) + v0 - (afff[i]) )**2
    return result

...

result = differential_evolution(func, bounds, args=(args), updating='immediate', workers=1, disp=True, tol=0)

...

$ python3 test.py

differential_evolution step 5: f(x)= 8.68165e+13
differential_evolution step 6: f(x)= 3.0159e+13
differential_evolution step 7: f(x)= 5.72267e+11
differential_evolution step 8: f(x)= 5.72267e+11
differential_evolution step 9: f(x)= 5.72267e+11
differential_evolution step 10: f(x)= 5.72267e+11
printing result.x
[-9.96712308e-04  1.31194421e-03 -9.99999813e+01  1.63032881e+02]
printing result.fun
229654.91015705158

How to pass these x0 values [-9.96712308e-04  1.31194421e-03 -9.99999813e+01  1.63032881e+02] to differential_evolution?

Br, MH
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