iteration_num: 1
solve_status: OPTIMAL
objective_value= -360597.320422018
End No. 1iteration
iteration_num: 2
solve_status: OPTIMAL
objective_value= -360356.491520776
End No. 2iteration
iteration_num: 3
solve_status: OPTIMAL
objective_value= -360350.2618825898
End No. 3iteration
iteration_num: 4
solve_status: OPTIMAL
objective_value= -360349.8305488508
End No. 4iteration
iteration_num: 5
solve_status: OPTIMAL
objective_value= -360348.56482540077
End No. 5iteration
iteration_num: 6
solve_status: OPTIMAL
objective_value= -360348.3895085586
End No. 6iteration
iteration_num: 7
solve_status: OPTIMAL
objective_value= -360348.26077030523
End No. 7iteration
iteration_num: 8
solve_status: OPTIMAL
objective_value= -360348.26077030523
End No. 8iteration
iteration_num: 9
solve_status: OPTIMAL
objective_value= -360348.26077030523
End No. 9iteration
iteration_num: 10
solve_status: OPTIMAL
objective_value= -360348.26077030523
End No. 10iteration
iteration_num: 11
solve_status: OPTIMAL
objective_value= -360348.26077030523
End No. 11iteration
iteration_num: 12
solve_status: OPTIMAL
objective_value= -360348.26077030523
End No. 12iteration
iteration_num: 13
solve_status: OPTIMAL
objective_value= -360348.26077030523
End No. 13iteration
END
