A two-level metaheuristic for the all colors shortest path problem

F Carrabs, R Cerulli, R Pentangelo… - Computational …, 2018 - Springer
F Carrabs, R Cerulli, R Pentangelo, A Raiconi
Computational Optimization and Applications, 2018Springer
Given an undirected weighted graph, in which each vertex is assigned to a color and one of
them is identified as source, in the all-colors shortest path problem we look for a minimum
cost shortest path that starts from the source and spans all different colors. The problem is
known to be NP-Hard and hard to approximate. In this work we propose a variant of the
problem in which the source is unspecified and show the two problems to be
computationally equivalent. Furthermore, we propose a mathematical formulation, a …
Abstract
Given an undirected weighted graph, in which each vertex is assigned to a color and one of them is identified as source, in the all-colors shortest path problem we look for a minimum cost shortest path that starts from the source and spans all different colors. The problem is known to be NP-Hard and hard to approximate. In this work we propose a variant of the problem in which the source is unspecified and show the two problems to be computationally equivalent. Furthermore, we propose a mathematical formulation, a compact representation for feasible solutions and a VNS metaheuristic that is based on it. Computational results show the effectiveness of the proposed approach for the two problems.
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