Abstract
The problem of determining a maximum internally stable set in a weighted undirected graph belongs to the class of computationally intractable problems known as NP-hard. Furthermore it has a variety of many interesting applications. In this paper we develop a recursive backtracking algorithm to find a maximum internally stable set of a weighted undirected graph. Computational experience on more than 1500 randomly generated graphs ranging from 100 to 250 vertices and from 15% to 80%, densities has shown that the proposed algorithm is very effective.
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