iteration_num: 1
solve_status: OPTIMAL
objective_value= -314079.0927943807
End No. 1iteration
iteration_num: 2
solve_status: OPTIMAL
objective_value= -208190.79700882745
End No. 2iteration
iteration_num: 3
solve_status: OPTIMAL
objective_value= -190504.0020784535
End No. 3iteration
iteration_num: 4
solve_status: OPTIMAL
objective_value= -183374.294215878
End No. 4iteration
iteration_num: 5
solve_status: OPTIMAL
objective_value= -183180.918067385
End No. 5iteration
iteration_num: 6
solve_status: OPTIMAL
objective_value= -183110.6351235348
End No. 6iteration
iteration_num: 7
solve_status: OPTIMAL
objective_value= -183091.20267547946
End No. 7iteration
iteration_num: 8
solve_status: OPTIMAL
objective_value= -183088.98924468493
End No. 8iteration
iteration_num: 9
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 9iteration
iteration_num: 10
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 10iteration
iteration_num: 11
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 11iteration
iteration_num: 12
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 12iteration
iteration_num: 13
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 13iteration
iteration_num: 14
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 14iteration
iteration_num: 15
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 15iteration
iteration_num: 16
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 16iteration
iteration_num: 17
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 17iteration
iteration_num: 18
solve_status: OPTIMAL
objective_value= -183088.03246365985
End No. 18iteration
END
