An Open Source .Net Constraint Programming Solver
Install using nuget for .Net Core 2.1
dotnet add package Decider
Create constrained integer variables
var s = new VariableInteger("s", 0, 9);
var e = new VariableInteger("e", 0, 9);
var n = new VariableInteger("n", 0, 9);
var d = new VariableInteger("d", 0, 9);
var m = new VariableInteger("m", 1, 9);
var o = new VariableInteger("o", 0, 9);
var r = new VariableInteger("r", 0, 9);
var y = new VariableInteger("y", 0, 9);
var c0 = new VariableInteger("c0", 0, 1);
var c1 = new VariableInteger("c1", 0, 1);
var c2 = new VariableInteger("c2", 0, 1);
var c3 = new VariableInteger("c3", 0, 1);
Define the constraints of your problem
var constraints = new List<IConstraint>
{
new AllDifferentInteger(new [] { s, e, n, d, m, o, r, y }),
new ConstraintInteger(d + e == (10 * c0) + y),
new ConstraintInteger(n + r + c0 == (10 * c1) + e),
new ConstraintInteger(e + o + c1 == (10 * c2) + n),
new ConstraintInteger(s + m + c2 == (10 * c3) + o),
new ConstraintInteger(c3 == m)
};
Find a solution using Decider's search routines
var variables = new [] { c0, c1, c2, c3, s, e, n, d, m, o, r, y };
IState<int> state = new StateInteger(variables, constraints);
state.StartSearch(out StateOperationResult searchResult);
Console.WriteLine(" {0} {1} {2} {3} ", s, e, n, d);
Console.WriteLine(" + {0} {1} {2} {3} ", m, o, r, e);
Console.WriteLine(" ---------");
Console.WriteLine(" {0} {1} {2} {3} {4} ", m, o, n, e, y);
Console.WriteLine("Runtime:\t{0}\nBacktracks:\t{1}\n", state.Runtime, state.Backtracks);
Which results in
9 5 6 7
+ 1 0 8 5
---------
1 0 6 5 2
Runtime: 00:00:00.0290211
Backtracks: 85
Display all solutions to the n-queens problem
state.StartSearch(out StateOperationResult searchResult,
out IList<IDictionary<string, IVariable<int>>> solutions);
foreach (var solution in solutions)
{
for (var i = 0; i < variables.Length; ++i)
{
for (var j = 0; j < variables.Length; ++j)
Console.Write(solution[i.ToString()].InstantiatedValue == j ? "Q" : ".");
Console.WriteLine();
}
Console.WriteLine();
}
Which results in
Q.......
....Q...
.......Q
.....Q..
..Q.....
......Q.
.Q......
...Q....
Q.......
.....Q..
.......Q
..Q.....
......Q.
...Q....
.Q......
....Q...
and a further ninety solutions.
Create an integer variable to optimise
new ConstraintInteger(optimise == a + b + c + d + e + f + g + h)
Specify an upper time bound on how long you search, say, five minutes
var timeout = 60 * 5;
var solution = default(IDictionary<string, IVariable<int>>);
state.StartSearch(out StateOperationResult searchResult, optimise, out solution, timeout);
Index integer arrays with constained integer variables
var a = new VariableInteger("a", 0, 9);
var array = new ConstrainedArray(new int[] { 0, 23, 52, 62, 75, 73, 47, 20, 87, 27 });
var constraint = new ConstraintInteger(array[a] < 40)
Fork the repo to see more examples, some toy and some real world, of Decider in action.
Released under the MIT licence, Decider is freely available for commercial use.
I have a PhD in Constraint Programming and love turning NP-complete problems into CSPs. Visit my blog at http://lifebeyondfife.com/.