Hello,
I'm using yalmip+lpsolve to solve an MILP problem (scheduling problem with N tasks ), but the model is too large (with almost 600+constraints and 200+ variables).
so lpsolve can not solve it within an acceptable time. (the same problem with smaller N can be solved since constraints is around 300).
so i am wondering if there is a way to set the maximum iteration for lpsolve? or any other ways such as set a timeout? set to stop calculation when object value is better than a certain value? I know there are some lpsolve API such as "set_break_at_value", "set_timeout", but i don't know how to call them with yalmip.
taken from lpsolve API manual "I am only interested for a solution that has an object value which is at least a given value, but not necessarily (and most probably) the most optimal solution"
many thanks!