examples/mfasp.mod
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     1 /* MFASP, Minimum Feedback Arc Set Problem */
       
     2 
       
     3 /* Written in GNU MathProg by Andrew Makhorin <mao@gnu.org> */
       
     4 
       
     5 /* The Minimum Feedback Arc Set Problem for a given directed graph
       
     6    G = (V, E), where V is a set of vertices and E is a set of arcs, is
       
     7    to find a minimal subset of arcs, which being removed from the graph
       
     8    make it acyclic.
       
     9 
       
    10    Reference:
       
    11    Garey, M.R., and Johnson, D.S. (1979), Computers and Intractability:
       
    12    A guide to the theory of NP-completeness [Graph Theory, Covering and
       
    13    Partitioning, Minimum Feedback Arc Set, GT9]. */
       
    14 
       
    15 param n, integer, >= 0;
       
    16 /* number of vertices */
       
    17 
       
    18 set V, default 1..n;
       
    19 /* set of vertices */
       
    20 
       
    21 set E, within V cross V,
       
    22 default setof{i in V, j in V: i <> j and Uniform(0,1) <= 0.15} (i,j);
       
    23 /* set of arcs */
       
    24 
       
    25 printf "Graph has %d vertices and %d arcs\n", card(V), card(E);
       
    26 
       
    27 var x{(i,j) in E}, binary;
       
    28 /* x[i,j] = 1 means that (i->j) is a feedback arc */
       
    29 
       
    30 /* It is known that a digraph G = (V, E) is acyclic if and only if its
       
    31    vertices can be assigned numbers from 1 to |V| in such a way that
       
    32    k[i] + 1 <= k[j] for every arc (i->j) in E, where k[i] is a number
       
    33    assigned to vertex i. We may use this condition to require that the
       
    34    digraph G = (V, E \ E'), where E' is a subset of feedback arcs, is
       
    35    acyclic. */
       
    36 
       
    37 var k{i in V}, >= 1, <= card(V);
       
    38 /* k[i] is a number assigned to vertex i */
       
    39 
       
    40 s.t. r{(i,j) in E}: k[j] - k[i] >= 1 - card(V) * x[i,j];
       
    41 /* note that x[i,j] = 1 leads to a redundant constraint */
       
    42 
       
    43 minimize obj: sum{(i,j) in E} x[i,j];
       
    44 /* the objective is to minimize the cardinality of a subset of feedback
       
    45    arcs */
       
    46 
       
    47 solve;
       
    48 
       
    49 printf "Minimum feedback arc set:\n";
       
    50 printf{(i,j) in E: x[i,j]} "%d %d\n", i, j;
       
    51 
       
    52 data;
       
    53 
       
    54 /* The optimal solution is 3 */
       
    55 
       
    56 param n := 15;
       
    57 
       
    58 set E := 1 2, 2 3, 3 4, 3 8, 4 9, 5 1, 6 5, 7 5, 8 6, 8 7, 8 9, 9 10,
       
    59          10 11, 10 14, 11 15, 12 7, 12 8, 12 13, 13 8, 13 12, 13 14,
       
    60          14 9, 15 14;
       
    61 
       
    62 end;