Exception: @error: Max Equation Length

[krishnapriya-18]

df1 = df_opt.head(100000).copy()

initialize model

m= GEKKO() m.options.SOLVER=1

initialize variable

x = np.array([m.Var(lb=0,ub=100,integer=True) for i in range(len(df1))])

constraints

m.Equation(m.sum(x)<=30000)

objective

responsiveness = np.array([m.Const(i) for i in df1['responsivness'].values]) affinity_score = np.array([m.Const(i) for i in df1['affinity'].values]) cost = np.array([m.Const(i) for i in df1['cost'].values])

expr = np.array([m.log(i) - k j for i,j,k in zip((1+responsiveness affinity_score * x),x,cost)])

m.Obj(-(m.sum(expr)))

optimization

m.solve(disp=False)

[krishnapriya-18]

Hi, I need to run an optimization for 100k to 500k variables, but it gives me max equation length reached an error. Can anyone help me out to set up this problem? Time is not a constraint as long as it takes 3-4 hours to run, it's fine.

Instead of
m.Obj(-(m.sum(expr))) ,

I even tried for i in range(len(expr)): m.Maximize(expr[i])

But it didnot help

[APMonitor]

Could you create a new question on StackOverflow with tag [gekko]?

https://stackoverflow.com/questions/tagged/gekko

We use that forum for supporting user questions. Thanks!