# N-Queens

**Originally Contributed by**: Matthew Helm (with help from @mtanneau on Julia Discourse)

The N-Queens problem involves placing N queens on an N x N chessboard such that none of the queens attacks another. In chess, a queen can move vertically, horizontally, and diagonally so there cannot be more than one queen on any given row, column, or diagonal.

*Note that none of the queens above are able to attack any other as a result of their careful placement.*

```
using JuMP
import HiGHS
import LinearAlgebra
```

N-Queens

```
N = 8
model = Model(HiGHS.Optimizer)
set_silent(model)
```

Next, let's create an N x N chessboard of binary values. 0 will represent an empty space on the board and 1 will represent a space occupied by one of our queens:

`@variable(model, x[1:N, 1:N], Bin);`

Now we can add our constraints:

There must be exactly one queen in a given row/column

```
for i in 1:N
@constraint(model, sum(x[i, :]) == 1)
@constraint(model, sum(x[:, i]) == 1)
end
```

There can only be one queen on any given diagonal

```
for i in -(N - 1):(N-1)
@constraint(model, sum(LinearAlgebra.diag(x, i)) <= 1)
@constraint(model, sum(LinearAlgebra.diag(reverse(x; dims = 1), i)) <= 1)
end
```

That's it! We are ready to put our model to work and see if it is able to find a feasible solution:

`optimize!(model)`

We can now review the solution that our model found:

`solution = round.(Int, value.(x))`

```
8×8 Matrix{Int64}:
0 1 0 0 0 0 0 0
0 0 0 0 1 0 0 0
0 0 0 0 0 0 1 0
1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1
0 0 0 0 0 1 0 0
0 0 0 1 0 0 0 0
```

This tutorial was generated using Literate.jl. View the source `.jl`

file on GitHub.