I have built up a MILP model for TSP in python. I would like to develop something resembles the Statistics plot in CPLEX Optimisation Studio and print out lower and upper bounds for each feasible solution found. My initial idea is to apply "model.solve_details.mip_relative_gap" but it only prints out the final gap of the optimal solution. I wish to find out how to call this result back DURING the optimisation process, which I haven't succeed for having little experience with Python. Any hint would be appreciated.

Answered on stackoverflow here: https://stackoverflow.com/questions/63138987/cplex-python-api-intermediate-lb-and-ub-printout

The solution is to use a progress listener