iteration_num: 1
solve_status: OPTIMAL
objective_value= -364106.0246871662
End No. 1iteration
iteration_num: 2
solve_status: OPTIMAL
objective_value= -229112.34973964113
End No. 2iteration
iteration_num: 3
solve_status: OPTIMAL
objective_value= -205744.1253223695
End No. 3iteration
iteration_num: 4
solve_status: OPTIMAL
objective_value= -196659.26020326308
End No. 4iteration
iteration_num: 5
solve_status: OPTIMAL
objective_value= -196401.48158990144
End No. 5iteration
iteration_num: 6
solve_status: OPTIMAL
objective_value= -196312.45935729693
End No. 6iteration
iteration_num: 7
solve_status: OPTIMAL
objective_value= -196290.39950068865
End No. 7iteration
iteration_num: 8
solve_status: OPTIMAL
objective_value= -196285.87989608338
End No. 8iteration
iteration_num: 9
solve_status: OPTIMAL
objective_value= -196284.48092520348
End No. 9iteration
iteration_num: 10
solve_status: OPTIMAL
objective_value= -196284.48091393063
End No. 10iteration
iteration_num: 11
solve_status: OPTIMAL
objective_value= -196284.48091393063
End No. 11iteration
iteration_num: 12
solve_status: OPTIMAL
objective_value= -196284.48091393063
End No. 12iteration
iteration_num: 13
solve_status: OPTIMAL
objective_value= -196284.48091393063
End No. 13iteration
iteration_num: 14
solve_status: OPTIMAL
objective_value= -196284.48091393063
End No. 14iteration
iteration_num: 15
solve_status: OPTIMAL
objective_value= -196284.48091393063
End No. 15iteration
iteration_num: 16
solve_status: OPTIMAL
objective_value= -196284.48091393063
End No. 16iteration
iteration_num: 17
solve_status: OPTIMAL
objective_value= -196284.48091393063
End No. 17iteration
iteration_num: 18
solve_status: OPTIMAL
objective_value= -196284.48091393063
End No. 18iteration
END
