Bees algorithm for degree-constrained minimum spanning tree problem

The problem of identifying a minimum spanning tree (MST) of a connected, undirected graph is a classical combinatorial optimization problem which can be solved efficiently in polynomial time by greedy heuristics. But, there are several practically relevant variants of MST problem that have been shown to be NP-complete. One of the variants of MST considered in this work is degree-constrained spanning tree. Recently, most of the works on this problem focus on heuristics that can find good solutions in a reasonable amount of time. In this paper, we have proposed an approach based on bees algorithm procedure to handle the degree constrained problem. A travel salesman problem is considered and a set of 2-degree spanning trees are extracted from the graph and supplied to the proposed algorithm. A bees algorithm-based approach is carried out to optimize the spanning trees based on their cost values. The fitness function points the cost effective degree constrained spanning tree. Experimentation of the proposed approach is carried out on a traveling salesman problem. The results showed that the proposed approach has produces cost effective and time effective results.