Excel Solver in Python [closed]

Answer 1

PuLP is a linear programming modeller in python. It can do everything that the excel solver can do.

PuLP is a free open source software written in Python. It is used to describe optimisation problems as mathematical models. PuLP can then call any of numerous external LP solvers (CBC, GLPK, CPLEX, Gurobi etc) to solve this model and then use python commands to manipulate and display the solution.

There is a detailed introduction about PuLP and a manual on how to model optimization problems with PuLP in python.

Modelling example

# Import PuLP modeler functions
from pulp import *

# Create the 'prob' variable to contain the problem data
prob = LpProblem("Example_Problem", LpMinimize)

# Declare decision variables
var_x = LpVariable(name="x", lowBound=0, cat="Continuous")
var_y = LpVariable(name="y", cat="Integer")

# The objective function is added to 'prob' first
prob += var_x + 2 * var_y

# The constraints are added to 'prob'
prob += var_x == (-1) * var_y
prob += var_x <= 15
prob += var_x > 0

# The problem is solved using PuLP's choice of Solver
prob.solve()

# The status of the solution is printed to the screen
print("Status:", LpStatus[prob.status])

# Each of the variables is printed with it's resolved optimum value
for v in prob.variables():
    print(v.name, "=", v.varValue)