iteration_num: 1
solve_status: OPTIMAL
objective_value= -376868.7653894706
End No. 1iteration
iteration_num: 2
solve_status: OPTIMAL
objective_value= -376596.7852359854
End No. 2iteration
iteration_num: 3
solve_status: OPTIMAL
objective_value= -376587.6885217889
End No. 3iteration
iteration_num: 4
solve_status: OPTIMAL
objective_value= -376584.658979137
End No. 4iteration
iteration_num: 5
solve_status: OPTIMAL
objective_value= -376584.07285099337
End No. 5iteration
iteration_num: 6
solve_status: OPTIMAL
objective_value= -376583.8719029225
End No. 6iteration
iteration_num: 7
solve_status: OPTIMAL
objective_value= -376583.6904742162
End No. 7iteration
END
