I loved the JuMP package in Julia for being able to write models once, then swap in different solvers.
Most open-source solvers don't handle parallelization well, and they lack the latest research on techniques like branch-cutting and heuristics that can speed things up significantly.
In my experience, Gurobi is still leader for linear and MiP solving. But, it's really expensive and the licensing terms seem anachronistic.
SimpleRose.com was a startup working on a new solver, too - I'm curious if anybody has tried it yet?
Most open-source solvers don't handle parallelization well, and they lack the latest research on techniques like branch-cutting and heuristics that can speed things up significantly.
In my experience, Gurobi is still leader for linear and MiP solving. But, it's really expensive and the licensing terms seem anachronistic.
SimpleRose.com was a startup working on a new solver, too - I'm curious if anybody has tried it yet?