In this paper we consider a combinatorial optimisation problem that takes as input a graph in which some of the vertices have been preassigned to colours. The aim is to then identify the largest induced subgraph in which all remaining vertices are able to assume the same colour as all of their neighbours. This problem shares similarities with the graph colouring problem, vertex cut problems, and the maximum happy vertices problem. It is NP-hard in general. In this paper we derive a number of upper and lower bounds and also show how certain problem instances can be broken up into smaller subproblems. We also propose one exact and two heuristic algorithms for this problem and use these to investigate the factors that make some problem instanc...
International audienceA strong edge-colouring of a graph G is a proper edge-colouring such that ever...
Consider a graph G=(V,E) and a coloring c of vertices with colors from [ℓ]. A vertex v is said to be...
Abstract: In this paper two best known at the moment algorithms for finding the maximum clique is co...
In this paper we consider a combinatorial optimisation problem that takes as input a graph in which ...
The maximum happy vertices problem involves determining a vertex colouring of a graph such that the ...
Abstract In this paper we consider a variant of graph colouring known as the maximum happy vertic...
For a given graph, the Maximum k-Colorable Subgraph Problem is the problem of determining the larges...
The maximum happy vertices problem involves taking a simple graph in which several vertices are prec...
AbstractGiven an undirected node-weighted graph and a positive integer k, the maximum k-colorable su...
In a vertex-colored graph, an edge is happy if its endpoints have the same color. Similarly, a verte...
Graph TheoryInternational audienceWe introduce a binary parameter on optimisation problems called se...
International audienceIn this paper we study the problem of finding a maximum colorful clique in ver...
We introduce a binary parameter on optimisation problems called separation. The parameter is used to...
The maximum $k$-colorable subgraph (M$k$CS) problem is to find an induced $k$-colorable subgraph wit...
Given an undirected graph G=(V,E) with |V|=n and a vertex coloring, a vertex v is happy if v and all...
International audienceA strong edge-colouring of a graph G is a proper edge-colouring such that ever...
Consider a graph G=(V,E) and a coloring c of vertices with colors from [ℓ]. A vertex v is said to be...
Abstract: In this paper two best known at the moment algorithms for finding the maximum clique is co...
In this paper we consider a combinatorial optimisation problem that takes as input a graph in which ...
The maximum happy vertices problem involves determining a vertex colouring of a graph such that the ...
Abstract In this paper we consider a variant of graph colouring known as the maximum happy vertic...
For a given graph, the Maximum k-Colorable Subgraph Problem is the problem of determining the larges...
The maximum happy vertices problem involves taking a simple graph in which several vertices are prec...
AbstractGiven an undirected node-weighted graph and a positive integer k, the maximum k-colorable su...
In a vertex-colored graph, an edge is happy if its endpoints have the same color. Similarly, a verte...
Graph TheoryInternational audienceWe introduce a binary parameter on optimisation problems called se...
International audienceIn this paper we study the problem of finding a maximum colorful clique in ver...
We introduce a binary parameter on optimisation problems called separation. The parameter is used to...
The maximum $k$-colorable subgraph (M$k$CS) problem is to find an induced $k$-colorable subgraph wit...
Given an undirected graph G=(V,E) with |V|=n and a vertex coloring, a vertex v is happy if v and all...
International audienceA strong edge-colouring of a graph G is a proper edge-colouring such that ever...
Consider a graph G=(V,E) and a coloring c of vertices with colors from [ℓ]. A vertex v is said to be...
Abstract: In this paper two best known at the moment algorithms for finding the maximum clique is co...