Publikationsdatum:
2020-08-05
Beschreibung:
We investigate the Robust Multiperiod Network Design Problem, a generalization
of the Capacitated Network Design Problem (CNDP) that, besides establishing flow routing and network capacity installation as in a canonical
CNDP, also considers a planning horizon made up of multiple time periods and protection against fluctuations in traffic volumes. As a remedy against
traffic volume uncertainty, we propose a Robust Optimization model based
on Multiband Robustness (Büsing and D'Andreagiovanni, 2012), a refinement of classical Gamma-Robustness by Bertsimas and Sim (2004) that uses a system of multiple deviation bands. Since the resulting optimization problem
may prove very challenging even for instances of moderate size solved by a state-of-the-art optimization solver, we propose a hybrid primal heuristic that combines a randomized fixing strategy inspired by ant colony optimization and an exact large neighbourhood search. Computational experiments on a set of realistic instances from the SNDlib (2010) show that our original heuristic can run fast and produce solutions of extremely high quality associated with low optimality gaps.
Sprache:
Englisch
Materialart:
article
,
doc-type:article
