iteration_num: 1
solve_status: OPTIMAL
objective_value= -375906.05368260376
End No. 1iteration
iteration_num: 2
solve_status: OPTIMAL
objective_value= -375641.39846817154
End No. 2iteration
iteration_num: 3
solve_status: OPTIMAL
objective_value= -375632.18284200114
End No. 3iteration
iteration_num: 4
solve_status: OPTIMAL
objective_value= -375629.020653797
End No. 4iteration
iteration_num: 5
solve_status: OPTIMAL
objective_value= -375628.11501844286
End No. 5iteration
iteration_num: 6
solve_status: OPTIMAL
objective_value= -375627.87859038304
End No. 6iteration
iteration_num: 7
solve_status: OPTIMAL
objective_value= -375627.87859038304
End No. 7iteration
iteration_num: 8
solve_status: OPTIMAL
objective_value= -375627.74984195654
End No. 8iteration
END
