Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The notion of resolving sets in a graph was introduced by Slater (1975) and Harary and Melter (1976) as a way of uniquely identifying every vertex in a graph. A set of vertices in a graph is a resolving set if for any pair of vertices x and y there is a vertex in the set which has distinct distances to x and y. A smallest resolving set in a graph is called a metric basis and its size, the metric dimension of the graph. The problem of computing the metric dimension of a graph is a ll-known NP-hard problem and while it was known to be polynomial time solvable on trees, it is only recently that efforts have been made to understand its computational complexity on various restricted graph classes. In recent work, Foucaud et al. (2015) shod that this problem is NP-complete even on interval graphs. They complemented this result by also showing that it is fixed-parameter tractable (FPT) parameterized by the metric dimension of the graph. In this work,  show that this FPT result can in fact be extended to all graphs of bounded tree-length. This includes ll-known classes like chordal graphs, AT-free graphs and permutation graphs.  also show that this problem is FPT parameterized by the modular-width of the input graph.
['Rémy Belmonte', 'Fedor V. Fomin', 'Petr A. Golovach', 'M. S. Ramanujan']
I am writing a research paper on a idea Metric Dimension of Bounded Tree-length Graphs
[{"from": "human", "value": "I am writing a research paper on a idea Metric Dimension of Bounded Tree-length Graphs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The notion of resolving sets in a graph was introduced by Slater (1975) and Harary and Melter (1976) as a way of uniquely identifying every vertex in a graph. A set of vertices in a graph is a resolving set if for any pair of vertices x and y there is a vertex in the set which has distinct distances to x and y. A smallest resolving set in a graph is called a metric basis and its size, the metric dimension of the graph. The problem of computing the metric dimension of a graph is a ll-known NP-hard problem and while it was known to be polynomial time solvable on trees, it is only recently that efforts have been made to understand its computational complexity on various restricted graph classes. In recent work, Foucaud et al. (2015) shod that this problem is NP-complete even on interval graphs. They complemented this result by also showing that it is fixed-parameter tractable (FPT) parameterized by the metric dimension of the graph. In this work,  show that this FPT result can in fact be extended to all graphs of bounded tree-length. This includes ll-known classes like chordal graphs, AT-free graphs and permutation graphs.  also show that this problem is FPT parameterized by the modular-width of the input graph."}]