Authors:
Maria Elena Bruni
1
;
Sara Khodaparasti
1
and
Samuel Nucamendi-Guillén
2
Affiliations:
1
Department of Mechanical, Energy and Management Engineering, Unical, Italy
;
2
Universidad Panamericana, Facultad de Ingeniería, Álvaro del Portillo 49, Zapopan, Jalisco, 45010, Mexico
Keyword(s):
Minimum Latency Problem, Profit, Bi-objective Optimization, Uncertainty, Risk.
Abstract:
This paper introduces a new bi-objective minimum latency problem with profit collection, where routes must be constructed in order to maximize the collected profit and to minimize the total latency. These objectives are usually conflicting. Thus, considering some important features, as the segmentation of the customers into two classes, mandatory and optional, and the presence of uncertain travel times, we follow a bi-objective approach, aiming to compute a set of Pareto-optimal alternatives with different trade-offs for a decision-maker to choose from. In order to address this computationally challenging problem, we propose a Multi-Objective Iterated Local Search. Computational results confirm the practicality of the algorithm, in terms of the quality of the solutions, and its computational efficiency in terms of time spent. We conclude that the algorithm finds good-quality solutions for small and medium-size instances.