Signed graph coloring

Coloring a signed graph by signed colors, one has a chromatic polynomial with the same enumerative and algebraic properties as for ordinary graphs. New phenomena are the interpretability only of odd arguments and the existence of a second chromatic polynomial counting zero-free colorings. The generalization to voltage graphs is outlined.     

σ-polynomials and graph coloring

A new class of graph polynomials is defined. Tight bounds on the coefficients of the polynomials are given, and the exact polynomials for several classes of graphs are derived. The relationship of these polynomials to chromatic polynomials and graph coloring is discussed.     

Path-path Ramsey-type numbers for the complete bipartite graph

For a fixed pair of integers r, s ≥ 2, all positive integers m and n are determined which have the property that if the edges of K_m,n (a complete bipartite graph with parts n and m) are colored with two colors, then there will always exist a path with r vertices in the first color or a path with s vertices in the second color.     

Asymmetric graph coloring games

We introduce the (a,b)‐coloring game, an asymmetric version of the coloring game played by two players Alice and Bob on a finite graph, which differs from the standard version in that, in each turn, Alice colors a vertices and Bob colors b vertices. We also introduce a related game, the (a,b)‐marking game. We analyze these games and determine the (a,b)‐chromatic numbers and (a,b)‐coloring numbers for the class of forests and all values of a and b. © 2005 Wiley Periodicals, Inc. J Graph Theory 48: 169–185, 2005     

Randomized online graph coloring

We study the problem of coloring graphs in an online manner. The only known deterministic online graph coloring algorithm with a sublinear performance function was found by [9.], 319–325). Their algorithm colors graphs of chromatic number χ with no more than (2χn)/log^* n colors, where n is the number of vertices. They point out that the performance can be improved slightly for graphs with bounded chromatic number. For three-chromatic graphs the number of colors used, for example, is O(n log log log n/log log n). We show that randomization helps in coloring graphs online. We present a simple randomized online algorithm to color graphs with expected number of colors O(2^χχ²n^{(χ−2)/(χ−1)}(log n)^1/(χ−1)). For three-colorable graphs the expected number of colors our algorithm uses is . All our algorithms run in polynomial time. It is interesting to note that our algorithm compares well with the best known polynomial time offline algorithms. For instance, the best polynomial time algorithm known for three-colorable graphs, due to [4.] pp. 554–562). We also prove a lower bound of Ω((1/(χ − 1))((log n/(12(χ + 1))) − 1)^χ−1) for the randomized model. No lower bound for the randomized model was previously known. For bounded χ, our result improves even the best known lower bound for the deterministic case: Ω((log n/log log n)^χ−1), due to Noga Alon (personal communication, September 1989).     

Mixed graph edge coloring

We are interested in coloring the edges of a mixed graph, i.e., a graph containing unoriented and oriented edges. This problem is related to a communication problem in job-shop scheduling systems. In this paper we give general bounds on the number of required colors and analyze the complexity status of this problem. In particular, we provide NP-completeness results for the case of outerplanar graphs, as well as for 3-regular bipartite graphs (even when only 3 colors are allowed, or when 5 colors are allowed and the graph is fully oriented). Special cases admitting polynomial-time solutions are also discussed.     

Metaheuristics for robust graph coloring

This paper studies a robust graph coloring problem, which is a variant of the classical graph coloring problem, where penalties are charged for non-adjacent vertices that are assigned the same color. The problem can be formulated as an unconstrained quadratic programming problem, and has many applications in industry. Since the problem is known to be strongly NP-complete, we develop a number of metaheuristics for it, which are based on various encoding schemes, neighborhood structures, and search algorithms. Extensive experiments suggest that our metaheuristics with a partition based encoding scheme and an improvement graph based neighborhood outperform other methods tested in our study.     

Concepts of signed graph coloring

This paper surveys recent development of concepts related to coloring of signed graphs. Various approaches are presented and discussed.     

Asymmetric directed graph coloring games

This note generalizes the (a,b)-coloring game and the (a,b)-marking game which were introduced by Kierstead [H.A. Kierstead, Asymmetric graph coloring games, J. Graph Theory 48 (2005) 169-185] for undirected graphs to directed graphs. We prove that the (a,b)-chromatic and (a,b)-coloring number for the class of orientations of forests is b+2 if b≤a, and infinity otherwise. From these results we deduce upper bounds for the (a,b)-coloring number of oriented outerplanar graphs and of orientations of graphs embeddable in a surface with bounded girth.     

Genetic and hybrid algorithms for graph coloring

Some genetic algorithms are considered for the graph coloring problem. As is the case for other combinatorial optimization problems, pure genetic algorithms are outperformed by neighborhood search heuristic procedures such as tabu search. Nevertheless, we examine the performance of several hybrid schemes that can obtain solutions of excellent quality. For some graphs, we illustrate that genetic operators can fulfill long-term strategic functions for a tabu search implementation that is chiefly founded on short-term memory strategies.     

Decomposable polymatroids and connections with graph coloring

We introduce ideas that complement the many known connections between polymatroids and graph coloring. Given a hypergraph that satisfies certain conditions, we construct polymatroids, given as rank functions, that can be written as sums of rank functions of matroids, and for which the minimum number of matroids required in such sums is the chromatic number of the line graph of the hypergraph. This result motivates introducing chromatic numbers and chromatic polynomials for polymatroids. We show that the chromatic polynomial of any 2-polymatroid is a rational multiple of the chromatic polynomial of some graph. We also find the excluded minors for the minor-closed class of polymatroids that can be written as sums of rank functions of matroids that form a chain of quotients.     

Numerical experiences with graph coloring algorithms

We consider the problem to color the vertices of a graph with a minimal number of colors. Sequential vertex (Sv) algorithms are mostly used for approximate solutions. For the selection of the colors all the approximation Sv-algorithms proposed in literature use the Min rule. In this paper a look-ahead rule is applied to determine a most ‘suitable’ color. Furthermore, the influence of the vertex order at the beginning of the Sv algorithm (Lf or Sl) in investigated. The tests are made on a sample of 3000 random graphs with up to 300 vertices.     

A new kind of graph coloring

A proper k-coloring C¹,C²,…,C^k of a graph G is called strong if, for every vertex uV(G), there exists an index i{1,2,…,k} such that u is adjacent to every vertex of Cⁱ. We consider classes of strongly k-colorable graphs and show that the recognition problem of is NP-complete for every k4, but it is polynomial-time solvable for k=3. We give a characterization of in terms of forbidden induced subgraphs. Finally, we solve the problem of uniqueness of a strong 3-coloring.     

A Branch-and-Cut algorithm for graph coloring

In this paper a Branch-and-Cut algorithm, based on a formulation previously introduced by us, is proposed for the Graph Coloring Problem. Since colors are indistinguishable in graph coloring, there may typically exist many different symmetrical colorings associated with a same number of colors. If solutions to an integer programming model of the problem exhibit that property, the Branch-and-Cut method tends to behave poorly even for small size graph coloring instances. Our model avoids, to certain extent, that bottleneck. Computational experience indicates that the results we obtain improve, in most cases, on those given by the well-known exact solution graph coloring algorithm Dsatur.     

On coloring numbers of graph powers

The weak $r$-coloring numbers ${\mathrm{wcol}}_r\left(G\right)$ of a graph $G$ were introduced by the first two authors as a generalization of the usual coloring number $\mathrm{col}\left(G\right)$, and have since found interesting theoretical and algorithmic applications. This has motivated researchers to establish strong bounds on these parameters for various classes of graphs.Let $G^p$ denote the $p$th power of $G$. We show that, all integers $p>0$ and $\Delta \ge 3$ and graphs $G$ with $\Delta \left(G\right)\le \Delta$ satisfy $\mathrm{col}\left(G^p\right)\in O\left(p\cdot {\mathrm{wcol}}_{\lceil p∕2\rceil }\left(G\right){(\Delta -1)}^{\lfloor p∕2\rfloor }\right)$; for fixed tree width or fixed genus the ratio between this upper bound and worst case lower bounds is polynomial in $p$. For the square of graphs $G$, we also show that, if the maximum average degree $2k-2<\mathrm{mad}\left(G\right)\le 2k$, then $\mathrm{col}\left(G^2\right)\le (2k-1)\Delta \left(G\right)+2k+1$.     

Minimum total coloring of planar graph

Graph coloring is an important tool in the study of optimization, computer science, network design, e.g., file transferring in a computer network, pattern matching, computation of Hessians matrix and so on. In this paper, we consider one important coloring, vertex coloring of a total graph, which is familiar to us by the name of “total coloring”. Total coloring is a coloring of \(V\cup {E}\) such that no two adjacent or incident elements receive the same color. In other words, total chromatic number of \(G\) is the minimum number of disjoint vertex independent sets covering a total graph of \(G\) . Here, let \(G\) be a planar graph with \(\varDelta \ge 8\) . We proved that if for every vertex \(v\in V\) , there exists two integers \(i_{v},j_{v} \in \{3,4,5,6,7,8\}\) such that \(v\) is not incident with intersecting \(i_v\) -cycles and \(j_v\) -cycles, then the vertex chromatic number of total graph of \(G\) is \(\varDelta +1\) , i.e., the total chromatic number of \(G\) is \(\varDelta +1\) .     

Variable space search for graph coloring

Let G=(V,E) be a graph with vertex set V and edge set E. The k-coloring problem is to assign a color (a number chosen in {1,…,k}) to each vertex of G so that no edge has both endpoints with the same color. We propose a new local search methodology, called Variable Space Search, which we apply to the k-coloring problem. The main idea is to consider several search spaces, with various neighborhoods and objective functions, and to move from one to another when the search is blocked at a local optimum in a given search space. The k-coloring problem is thus solved by combining different formulations of the problem which are not equivalent, in the sense that some constraints are possibly relaxed in one search space and always satisfied in another. We show that the proposed algorithm improves on every local search used independently (i.e., with a unique search space), and is competitive with the currently best coloring methods, which are complex hybrid evolutionary algorithms.     

Directed defective asymmetric graph coloring games

We consider the following 2-person game which is played with an (initially uncolored) digraph D, a finite color set C, and nonnegative integers a, b, and d. Alternately, player I colors a vertices and player II colors b vertices with colors from C. Whenever a player colors a vertex v, all in-arcs (w,v) that do not come from a vertex w previously colored with the same color as v are deleted. For each color i the defect digraphD_i is the digraph induced by the vertices of color i at a certain state of the game. The main rule the players have to respect is that at every time for any color i the digraph D_i has maximum total degree of at most d. The game ends if no vertex can be colored any more according to this rule. Player I wins if D is completely colored at the end of the game, otherwise player II wins. The smallest cardinality of a color set C with which player I has a winning strategy for the game is called . This parameter generalizes several variants of Bodlaender’s game chromatic number. We determine the tight (resp., nearly tight) upper bound (resp., ) for the d-relaxed (a,b)-game chromatic number of orientations of forests (resp., undirected forests) for any d and a≥b≥1. Furthermore we prove that these numbers cannot be bounded in case a<b.     

A memetic algorithm for graph coloring

Given an undirected graph G=(V,E)$G=(V\text{,}E)$ with a set V of vertices and a set E of edges, the graph coloring problem consists of partitioning all vertices into k independent sets and the number of used colors k is minimized. This paper presents a memetic algorithm (denoted by MACOL) for solving the problem of graph coloring. The proposed MACOL algorithm integrates several distinguished features such as an adaptive multi-parent crossover (AMPaX) operator and a distance-and-quality based replacement criterion for pool updating. The proposed algorithm is evaluated on the DIMACS challenge benchmarks and computational results show that the proposed MACOL algorithm achieves highly competitive results, compared with 11 state-of-the-art algorithms. The influence of some ingredients of MACOL on its performance is also analyzed.     

Circular-arc graph coloring: On chords and circuits in the meeting graph

In compilers register allocation in loops is usually performed by coloring a corresponding circular-arc graph. Generally, the problem of finding the chromatic number of circular-arc graphs is known to be NP-complete. Thus, approximation algorithms should be considered. In this paper we propose heuristics based on decomposition of a so called meeting graph into a set of circuits. We explain the importance of the meeting graph for our solutions and prove properties of our decomposition of the graph into circuits. We derive inequalities relating the number of circuits in the decomposition to the size of the maximum stable set of chords, and present experimental results. Finally, we discuss the quality of our heuristics for circular-arc graph coloring.