iteration_num: 1
solve_status: OPTIMAL
objective_value= -267249.32350137405
End No. 1iteration
iteration_num: 2
solve_status: OPTIMAL
objective_value= -267168.2997107596
End No. 2iteration
iteration_num: 3
solve_status: OPTIMAL
objective_value= -267166.7184772911
End No. 3iteration
iteration_num: 4
solve_status: OPTIMAL
objective_value= -267166.6433994747
End No. 4iteration
iteration_num: 5
solve_status: OPTIMAL
objective_value= -267166.5525886972
End No. 5iteration
iteration_num: 6
solve_status: OPTIMAL
objective_value= -267166.5525444705
End No. 6iteration
iteration_num: 7
solve_status: OPTIMAL
objective_value= -267166.5281836555
End No. 7iteration
iteration_num: 8
solve_status: OPTIMAL
objective_value= -267166.5281836555
End No. 8iteration
iteration_num: 9
solve_status: OPTIMAL
objective_value= -267166.5281836555
End No. 9iteration
iteration_num: 10
solve_status: OPTIMAL
objective_value= -267166.5281836555
End No. 10iteration
iteration_num: 11
solve_status: OPTIMAL
objective_value= -267166.5281836555
End No. 11iteration
iteration_num: 12
solve_status: OPTIMAL
objective_value= -267166.5281836555
End No. 12iteration
END
