Given a graph G whose edges are labeled with one or more labels, the Generalized Minimum Label Spanning Tree problem seeks the spanning tree
over this graph that uses the least number of labels. We provide a mathematical model for this problem and propose effective
greedy heuristics and metaheuristics. We finally compare the results of these algorithms with benchmark heuristics for the
related Minimum Label Spanning Tree problem.
Keywords Combinatorial optimization - computational comparison - genetic algorithm - greedy heuristic - metaheuristic - minimum label spanning tree