iteration_num: 1
solve_status: OPTIMAL
objective_value= -349839.4005776133
End No. 1iteration
iteration_num: 2
solve_status: OPTIMAL
objective_value= -222623.32529645544
End No. 2iteration
iteration_num: 3
solve_status: OPTIMAL
objective_value= -200927.31374181685
End No. 3iteration
iteration_num: 4
solve_status: OPTIMAL
objective_value= -192546.55558703156
End No. 4iteration
iteration_num: 5
solve_status: OPTIMAL
objective_value= -192320.64147001438
End No. 5iteration
iteration_num: 6
solve_status: OPTIMAL
objective_value= -192250.76356657472
End No. 6iteration
iteration_num: 7
solve_status: OPTIMAL
objective_value= -192228.48585226727
End No. 7iteration
iteration_num: 8
solve_status: OPTIMAL
objective_value= -192223.73445773416
End No. 8iteration
iteration_num: 9
solve_status: OPTIMAL
objective_value= -192223.27925660857
End No. 9iteration
iteration_num: 10
solve_status: OPTIMAL
objective_value= -192222.95910955986
End No. 10iteration
iteration_num: 11
solve_status: OPTIMAL
objective_value= -192222.91313248314
End No. 11iteration
iteration_num: 12
solve_status: OPTIMAL
objective_value= -192222.91313248314
End No. 12iteration
iteration_num: 13
solve_status: OPTIMAL
objective_value= -192222.91313248314
End No. 13iteration
iteration_num: 14
solve_status: OPTIMAL
objective_value= -192222.91313248314
End No. 14iteration
iteration_num: 15
solve_status: OPTIMAL
objective_value= -192222.91313248314
End No. 15iteration
iteration_num: 16
solve_status: OPTIMAL
objective_value= -192222.91313248314
End No. 16iteration
iteration_num: 17
solve_status: OPTIMAL
objective_value= -192222.91313248314
End No. 17iteration
iteration_num: 18
solve_status: OPTIMAL
objective_value= -192222.91313248314
End No. 18iteration
END
