iteration_num: 1
solve_status: OPTIMAL
objective_value= -269342.0360506051
End No. 1iteration
iteration_num: 2
solve_status: OPTIMAL
objective_value= -187606.2385136262
End No. 2iteration
iteration_num: 3
solve_status: OPTIMAL
objective_value= -172706.2033641995
End No. 3iteration
iteration_num: 4
solve_status: OPTIMAL
objective_value= -166360.23710787485
End No. 4iteration
iteration_num: 5
solve_status: OPTIMAL
objective_value= -166138.08404428032
End No. 5iteration
iteration_num: 6
solve_status: OPTIMAL
objective_value= -166037.67559747468
End No. 6iteration
iteration_num: 7
solve_status: OPTIMAL
objective_value= -165991.031808418
End No. 7iteration
iteration_num: 8
solve_status: OPTIMAL
objective_value= -165986.5061588628
End No. 8iteration
iteration_num: 9
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 9iteration
iteration_num: 10
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 10iteration
iteration_num: 11
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 11iteration
iteration_num: 12
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 12iteration
iteration_num: 13
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 13iteration
iteration_num: 14
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 14iteration
iteration_num: 15
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 15iteration
iteration_num: 16
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 16iteration
iteration_num: 17
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 17iteration
iteration_num: 18
solve_status: OPTIMAL
objective_value= -165985.55843471916
End No. 18iteration
END
