Authors:
Duleabom An
1
;
Sophie Parragh
1
;
Markus Sinnl
1
and
Fabien Tricoire
2
Affiliations:
1
Institute of Production and Logistics Management, Johannes Kepler University Linz, Altenberger Strae 69, 4040 Linz, Austria
;
2
Institute for Transport and Logistics Management, Vienna University of Economics and Business, Welthandelsplatz 1, 1020 Vienna, Austria
Keyword(s):
Three-objective Binary Integer Programming, Matheuristics, Path Relinking, Multi-objective Knapsack Problem.
Abstract:
Motivated by the success of matheuristics in the single-objective domain, we propose a very simple linear programming-based matheuristic for three-objective binary integer programming. To tackle the problem, we obtain lower bound sets by means of the vector linear programming solver Bensolve. Then, simple heuristic approaches, such as rounding and path relinking, are applied to this lower bound set to obtain high-quality approximations of the optimal set of trade-off solutions. The proposed algorithm is compared to a recently suggested algorithm which is, to the best of our knowledge, the only existing matheuristic method for three-objective integer programming. Computational experiments show that our method produces a better approximation of the true Pareto front using significantly less time than the benchmark method on standard benchmark instances for the three-objective knapsack problem.