Solver

Solver list is shown in Solvers.

flopt.Solver(algo='auto')[source]

Obtain Solver object.

Parameters

algo (str) – algorithm name

Returns

return Solver

Return type

Solver object

flopt.Solver_list()[source]

Obtain useable solver list

Returns

return list of algorithm names

Return type

list

flopt.allAvailableSolvers(prob)[source]

Obtain all available solvers to solve the problem

Parameters

prob (Problem) – problem

Returns

algorithm names that can solve the problem

Return type

list of str

Examples

import flopt
from flopt import Variable, Problem, CustomExpression

# Linear problem without constraint
a = Variable("a", 0, 1, "Integer")
b = Variable("b", 1, 2, "Continuous")
c = Variable("c", 1, 3, "Continuous")
prob_linear = Problem(name="Only objective")
prob_linear += a + b + c

# Problem with constraint
prob_with_const = Problem(name="With constraint")
prob_with_const += a + b + c
prob_with_const += a + b >= 2

# Non-Linear problem
prob_nonlinear = Problem("Non Linear")
prob_nonlinear += a*b*c
prob_nonlinear += a + b >= 2

# Permutation Problem
p = Variable("p", 0, 4, "Permutation")
prob_perm = Problem("TestP")
def obj(p):
    return p[-1] - p[0]
prob_perm +=  CustomExpression(obj, [p])

# display solvers can solve prob_linear
print(flopt.allAvailableSolvers(prob_linear)

# display solvers can solve prob_with_const
print(flopt.allAvailableSolvers(prob_with_const))

# display solvers can solve prob_nonlinear
print(flopt.allAvailableSolvers(prob_nonlinear))

# display solvers can solve prob_perm
print(flopt.allAvailableSolvers(prob_perm))