We investigate the Robust Multiperiod Network Design Problem, a generalization of the classical Capacitated NetworkDesign Problem that additionally considers multiple design periods and provides solutions protected against traffic uncertainty. Given the intrinsic difficulty of the problem, which proves challenging even for state-of-the art commercial solvers, we propose a hybrid primal heuristic based on the combination of ant colony optimization and an exact large neighborhood search. Computational experiments on a set of realistic instances from the SNDlib show that our heuristic can find solutions of extremely good quality with low optimality gap.
CITATION STYLE
D’Andreagiovanni, F., Krolikowski, J., & Pulaj, J. (2014). A hybrid primal heuristic for robust multiperiod network design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8602, pp. 15–26). Springer Verlag. https://doi.org/10.1007/978-3-662-45523-4_2
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