Python Gekko: Increasing value of objective_convergence_tolerance for Solver=2 (BPOPT)
There are 4 parts that are checked for convergence including:

max(abs(g + a^T * lam - zL + zU))/s_d
max(abs(c))
max(abs(diag[x-xL s-sL]*zL - mu))/s_c
max(abs(diag[xU-x sU-s]*zU - mu))/s_c

The maximum of these 4 parts must be less than the convergence tolerance. Right now there is no separate objective function convergence criterion. Gekko has 3 solvers that are included with the publicly available version including:

APOPT
BPOPT
IPOPT

The BPOPT solver isn't typically one one of the best solvers if you'd like to try m.options.SOLVER=1 (APOPT) or m.options.SOLVER=3 (IPOPT).
Is there a way to increase the value of objective_convergence_tolerance  for Solver=2 (BPOPT)?
It seems to be working only for Solver = 1 and 2.
Thanks.