Closed Ranash1375 closed 1 year ago
Potentially the same as https://github.com/ERGO-Code/HiGHS/issues/947.
HiGHS.jl just passes the settings to the solver, so any issue is in the upstream solver, not in HiGHS.jl.
I can confirm that HiGHS.jl can set a time limit and terminate appropriately, so if it isn't terminating, that's a bug in the upstream solver, and likely the same one that I linked above:
julia> using JuMP
julia> import HiGHS
julia> function main(N)
w, c = rand(N), rand(N)
model = Model(HiGHS.Optimizer)
@variable(model, x[1:N] >= 0, Int)
@constraint(model, w' * x <= 10)
@objective(model, Max, c' * x)
set_time_limit_sec(model, 0.001)
optimize!(model)
solution_summary(model)
end
main(1main (generic function with 1 method)
julia> main(100)
Presolving model
1 rows, 100 cols, 100 nonzeros
1 rows, 100 cols, 100 nonzeros
Solving report
Status Time limit reached
Primal bound -inf
Dual bound inf
Gap 0% (tolerance: 0.01%)
Solution status -
Timing 0.01 (total)
0.01 (presolve)
0.00 (postsolve)
Nodes 0
LP iterations 0 (total)
0 (strong br.)
0 (separation)
0 (heuristics)
* Solver : HiGHS
* Status
Termination status : TIME_LIMIT
Primal status : NO_SOLUTION
Dual status : NO_SOLUTION
Message from the solver:
"kHighsModelStatusTimeLimit"
* Candidate solution
Objective bound : Inf
Relative gap : NaN
* Work counters
Solve time (sec) : 1.18906e-02
Simplex iterations : -1
Barrier iterations : -1
Node count : 0
Closing because this isn't a bug in HiGHS.jl and it is already reported upstream.
Hi,
I wrote a linear MIP. No matter what I set for the time limit parameter, the solver doesn't stop before finding the optimal solution. I was wondering if it is just my problem.
Thanks