Abstract:Abstract. The b-chromatic number b(G) of a graph G = (V, E) is the largest integer k such that G admits a vertex partition into k independent sets Xi (i = 1, . . . , k) such that each Xi contains a vertex xi adjacent to at least one vertex of each Xj, j = i. We discuss on the tightness of some bounds on b(G) and on the complexity of determining b(G). We also determine the asymptotic behavior of b(Gn,p) for the random graph, within the accuracy of a multiplicative factor 2 + o(1) as n → ∞.
“…But since the coloring problem is NP-complete, χ(G) cannot always be reached. Irving and Manlove [10], interested in the worst case scenario, defined a b-coloring as a coloring of G that has at least one b-vertex in each of its color classes, and the b-chromatic number of G as the maximum number of colors b (G) used by a b-coloring of G. Finding b(G) is NP-complete [10], even if G is bipartite [13], chordal [9], or a line graph [5].…”
Section: Theorem 41 the Set Of Constraintsmentioning
confidence: 99%
“…It is known that K n,n minus a perfect matching only admits b-colorings with 2 and n colors, for n ∈ N [13]. Also, for every finite S ⊂ N − {1}, there exists a graph G that admits a b-coloring with k colors iff k ∈ S [2].…”
A new MILP formulation for the Green Vehicle Routing Problem is introduced where the visits to the Alternative Fuel Stations (AFSs) are only implicitly considered. The number of variables is also reduced by pre-computing for each couple of customers an efficient set of AFSs, only given by those that may be actually used in an optimal solution. Numerical experiments on benchmark instances show that our model outperforms the previous ones proposed in the literature
“…But since the coloring problem is NP-complete, χ(G) cannot always be reached. Irving and Manlove [10], interested in the worst case scenario, defined a b-coloring as a coloring of G that has at least one b-vertex in each of its color classes, and the b-chromatic number of G as the maximum number of colors b (G) used by a b-coloring of G. Finding b(G) is NP-complete [10], even if G is bipartite [13], chordal [9], or a line graph [5].…”
Section: Theorem 41 the Set Of Constraintsmentioning
confidence: 99%
“…It is known that K n,n minus a perfect matching only admits b-colorings with 2 and n colors, for n ∈ N [13]. Also, for every finite S ⊂ N − {1}, there exists a graph G that admits a b-coloring with k colors iff k ∈ S [2].…”
A new MILP formulation for the Green Vehicle Routing Problem is introduced where the visits to the Alternative Fuel Stations (AFSs) are only implicitly considered. The number of variables is also reduced by pre-computing for each couple of customers an efficient set of AFSs, only given by those that may be actually used in an optimal solution. Numerical experiments on benchmark instances show that our model outperforms the previous ones proposed in the literature
“…One of h, j is not equal to 0, say j = 0. So A j = ∅ and, by (20), x has no neighbor in that set; but then {a j , u g , u h , x, v i , v j } induces an F 10 . Now we may assume that the four integers g, h, i, j are different.…”
Section: T Is Complete Tomentioning
confidence: 99%
“…Now, by (20), x has a neighbor in A j , or in B h , but not in both. If x has a neighbor in B h , then {a j , u h , u g , x, v h , v j } induces an F 10 . If x has a neighbor in A j , then {b h , v j , v i , x, u h , u j } induces an F 10 .…”
A b-coloring is a coloring of the vertices of a graph such that each color class contains a vertex that has a neighbor in all other color classes, and the b-chromatic number of a graph G is the largest integer k such that G admits a b-coloring with k colors. A graph is b-perfect if the b-chromatic number is equal to the chromatic number for every induced subgraph of G. We prove that a graph is b-perfect if and only if it does not contain as an induced subgraph a member of a certain list of twenty-two graphs. This entails the existence of a polynomial-time recognition algorithm and of a polynomial-time algorithm for coloring exactly the vertices of every b-perfect graph.
“…Manlove ( [14,21]). They proved that determining b(G) is N P -hard for general graphs, even when it is restricted to the class of bipartite graphs ( [20]), but it is polynomial for trees ( [14,21]). The N P -completeness results have incited researchers to establish bounds on the b-chromatic number in general or to find its exact values for subclasses of graphs (see [2, 3, 6-8, 10, 12, 15, 18-20, 22, 23]).…”
Abstract. A b-coloring is a coloring of the vertices of a graph such that each color class contains a vertex that has a neighbor in all other color classes, and the b-chromatic number b(G) of a graph G is the largest integer k such that G admits a b-coloring with k colors. A simple graph G is called b + -vertex (edge) critical if the removal of any vertex (edge) of G increases its b-chromatic number. In this note, we explain some properties in b + -vertex (edge) critical graphs, and we conclude with two open problems.
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