“Progress in Mathematical Programming Solvers 2001^–₁₉2020”, Thorsten Koch, Timo Berthold, Jaap Pedersen, Charlie Vanaret2022-06-20 (algorithms, experience curves)⁠:

This study investigates the progress made in LP and MILP solver performance during the last two decades by comparing the solver software from the beginning of the millennium with the codes available today.

On average, we found out that for solving LP/MILP, computer hardware got about 20× faster, and the algorithms improved by a factor of about 9× for LP and around 50× for MILP, which gives a total speed-up of about 180× and 1,000×, respectively.

However, these numbers have a very high variance and they considerably underestimate the progress made on the algorithmic side: many problem instances can nowadays be solved within seconds, which the old codes are not able to solve within any reasonable time.