Automatically Produced Algorithms for the Generalized Minimum Spanning Tree Problem

作者：Contreras Bolton Carlos^*; Rey Carlos; Ramos Cossio Sergio; Rodriguez Claudio; Gatica Felipe; Parada Victor

来源：Scientific Programming, 2016, 2016: UNSP 1682925.

DOI：10.1155/2016/1682925

The generalized minimum spanning tree problem consists of finding a minimum cost spanning tree in an undirected graph for which the vertices are divided into clusters. Such spanning tree includes only one vertex from each cluster. Despite the diverse practical applications for this problem, the NP-hardness continues to be a computational challenge. Good quality solutions for some instances of the problem have been found by combining specific heuristics or by including them within a metaheuristic. However studied combinations correspond to a subset of all possible combinations. In this study a technique based on a genotype-phenotype genetic algorithm to automatically construct new algorithms for the problem, which contain combinations of heuristics, is presented. The produced algorithms are competitive in terms of the quality of the solution obtained. This emerges from the comparison of the performance with problem-specific heuristics and with metaheuristic approaches.

• 出版日期2016