Ipopt infeasibility on travis-ci

This could be for any number of reasons. I don’t have any good way of troubleshooting this.

  • You may want to try providing a starting solution using the start keyword in @variable. (See the docs Nonlinear Modeling — JuMP -- Julia for Mathematical Optimization 0.18 documentation)

  • I would also try changing the tolerances in Ipopt.

  • If you have any random inputs make sure you set the same seed.

  • Your problem might also be poorly scaled. It looks like your objective value is on the order of 10^9. If you have very large and very small coefficients / variable values, it can lead to numeric difficulties with the solvers.