alpar@1: /* MFVSP, Minimum Feedback Vertex Set Problem */ alpar@1: alpar@1: /* Written in GNU MathProg by Andrew Makhorin */ alpar@1: alpar@1: /* The Minimum Feedback Vertex Set Problem for a given directed graph alpar@1: G = (V, E), where V is a set of vertices and E is a set of arcs, is alpar@1: to find a minimal subset of vertices, which being removed from the alpar@1: graph make it acyclic. alpar@1: alpar@1: Reference: alpar@1: Garey, M.R., and Johnson, D.S. (1979), Computers and Intractability: alpar@1: A guide to the theory of NP-completeness [Graph Theory, Covering and alpar@1: Partitioning, Minimum Feedback Vertex Set, GT8]. */ alpar@1: alpar@1: param n, integer, >= 0; alpar@1: /* number of vertices */ alpar@1: alpar@1: set V, default 1..n; alpar@1: /* set of vertices */ alpar@1: alpar@1: set E, within V cross V, alpar@1: default setof{i in V, j in V: i <> j and Uniform(0,1) <= 0.15} (i,j); alpar@1: /* set of arcs */ alpar@1: alpar@1: printf "Graph has %d vertices and %d arcs\n", card(V), card(E); alpar@1: alpar@1: var x{i in V}, binary; alpar@1: /* x[i] = 1 means that i is a feedback vertex */ alpar@1: alpar@1: /* It is known that a digraph G = (V, E) is acyclic if and only if its alpar@1: vertices can be assigned numbers from 1 to |V| in such a way that alpar@1: k[i] + 1 <= k[j] for every arc (i->j) in E, where k[i] is a number alpar@1: assigned to vertex i. We may use this condition to require that the alpar@1: digraph G = (V, E \ E'), where E' is a subset of feedback arcs, is alpar@1: acyclic. */ alpar@1: alpar@1: var k{i in V}, >= 1, <= card(V); alpar@1: /* k[i] is a number assigned to vertex i */ alpar@1: alpar@1: s.t. r{(i,j) in E}: k[j] - k[i] >= 1 - card(V) * (x[i] + x[j]); alpar@1: /* note that x[i] = 1 or x[j] = 1 leads to a redundant constraint */ alpar@1: alpar@1: minimize obj: sum{i in V} x[i]; alpar@1: /* the objective is to minimize the cardinality of a subset of feedback alpar@1: vertices */ alpar@1: alpar@1: solve; alpar@1: alpar@1: printf "Minimum feedback vertex set:\n"; alpar@1: printf{i in V: x[i]} "%d\n", i; alpar@1: alpar@1: data; alpar@1: alpar@1: /* The optimal solution is 3 */ alpar@1: alpar@1: param n := 15; alpar@1: alpar@1: 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, alpar@1: 10 11, 10 14, 11 15, 12 7, 12 8, 12 13, 13 8, 13 12, 13 14, alpar@1: 14 9, 15 14; alpar@1: alpar@1: end;