nonlinear regression with constraints

sorry about that, let me explain,
1-objective function is OBJECTIVE2 in AY
2-as you said cell under SEE is sum of squared errors in column AZ
3-parameters are in BE4:BQ4
4-constraints requires that sum of Fk(L) (Function in AX) over L=1,2,3,...,35 to be equal to one
constraints are like this
exp(-b11*1)*(1-exp(-b21))+exp(-b11*2)*(1-exp(-b21))+........+exp(-b11*35)*(1-exp(-b21))=1
:
:
:
exp(-b16*1)*(1-exp(-b26))+exp(-b16*2)*(1-exp(-b26))+........+exp(-b16*35)*(1-exp(-b26))=1

I calculated those sums in columns BG-BL in cells from 19 to 54 (6 class and 35 lags)
sum if function there sums values in function(column AX) for every class over 35 lags

5- I uploaded newer version with solver values entered

6-my question is
how can I modify objective function so that I can have estimates for
class dummies (1,2,3,...6) in AM-AR
cited years 1963-1999 in E-L (grouped in 8 cohorts)
citing years 1975-1999 in M-AK

thanks a lot for all the help