[英]OR-Tools in python how to set power of a variable
here is a google OR-tool example to optimize a function:这是一个用于优化 function 的谷歌 OR 工具示例:
from ortools.linear_solver import pywraplp
def LinearProgrammingExample():
"""Linear programming sample."""
# Instantiate a Glop solver, naming it LinearExample.
solver = pywraplp.Solver.CreateSolver('GLOP')
if not solver:
return
# Create the two variables and let them take on any non-negative value.
x = solver.NumVar(0, solver.infinity(), 'x')
y = solver.NumVar(0, solver.infinity(), 'y')
print('Number of variables =', solver.NumVariables())
# Constraint 0: x + 2y <= 14.
solver.Add(x + 2 * y <= 14.0)
# Constraint 1: 3x - y >= 0.
solver.Add(3 * x - y >= 0.0)
# Constraint 2: x - y <= 2.
solver.Add(x - y <= 2.0)
print('Number of constraints =', solver.NumConstraints())
# Objective function: 3x + 4y.
solver.Maximize(3 * x + 4 * y)
# Solve the system.
status = solver.Solve()
if status == pywraplp.Solver.OPTIMAL:
print('Solution:')
print('Objective value =', solver.Objective().Value())
print('x =', x.solution_value())
print('y =', y.solution_value())
else:
print('The problem does not have an optimal solution.')
print('\nAdvanced usage:')
print('Problem solved in %f milliseconds' % solver.wall_time())
print('Problem solved in %d iterations' % solver.iterations())
LinearProgrammingExample()
but instead of optimizing 3 x+4y, I would like to optimize 3 x**2+4y.但我不想优化 3 x+4y,而是想优化 3 x**2+4y。 How to set the power of x?
如何设置x的幂? I tried x*x, ** or np.power but x is an object. it is not working.
我尝试了 x*x、** 或 np.power,但 x 是 object。它不工作。 any solution?
任何解决方案?
The current api does not support quadratic terms.目前api不支持二次项。
If you build a protobuf manually, (see linear_solver.proto), you can express it and solve it with scip or gurobi.如果您手动构建一个 protobuf,(请参阅 linear_solver.proto),您可以表达它并使用 scip 或 gurobi 解决它。
But the code is ugly.但是代码很丑。
Math_opt is built to support it, and much more. Math_opt 是为支持它而构建的,等等。 But it is c++, bezel only at the time being.
不过暂时是c++,bezel而已。
So you are out of luck.所以你运气不好。
PS: if your problem is purely integral (no continuous variables), you can solve it with CP-SAT own api. PS:如果你的问题是纯积分的(没有连续变量),可以用CP-SAT自己的api解决。
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