iteration_num: 1
solve_status: OPTIMAL
objective_value= -276225.62225097674
End No. 1iteration
iteration_num: 2
solve_status: OPTIMAL
objective_value= -273227.4905170873
End No. 2iteration
iteration_num: 3
solve_status: OPTIMAL
objective_value= -271187.9520977772
End No. 3iteration
iteration_num: 4
solve_status: OPTIMAL
objective_value= -271185.5279571961
End No. 4iteration
iteration_num: 5
solve_status: OPTIMAL
objective_value= -271185.11731758644
End No. 5iteration
iteration_num: 6
solve_status: OPTIMAL
objective_value= -271185.0500363171
End No. 6iteration
iteration_num: 7
solve_status: OPTIMAL
objective_value= -271185.050036317
End No. 7iteration
iteration_num: 8
solve_status: OPTIMAL
objective_value= -271185.050036317
End No. 8iteration
iteration_num: 9
solve_status: OPTIMAL
objective_value= -271185.050036317
End No. 9iteration
iteration_num: 10
solve_status: OPTIMAL
objective_value= -271185.050036317
End No. 10iteration
iteration_num: 11
solve_status: OPTIMAL
objective_value= -271185.050036317
End No. 11iteration
iteration_num: 12
solve_status: OPTIMAL
objective_value= -271185.050036317
End No. 12iteration
iteration_num: 13
solve_status: OPTIMAL
objective_value= -271185.050036317
End No. 13iteration
END
