Το έργο με τίτλο A memetic-GRASP algorithm for the solution of the orienteering problem από τον/τους δημιουργό/ούς Matsatsinis Nikolaos, Marinakis Ioannis, Michael Politis, Marinaki Magdalini διατίθεται με την άδεια Creative Commons Αναφορά Δημιουργού 4.0 Διεθνές
Βιβλιογραφική Αναφορά
Y. Marinakis, M. Politis, M. Marinaki, N. Matsatsinis ,"A memetic-GRASP algorithm for the solution of the orienteering problem," in 2015 3rd Intern. Conf. on Modelling, Comp. and Optimization in Inform. Systems and Manag. Sciences (MCO),pp. 105-116.doi:10.1007/978-3-319-18167-7_10
https://doi.org/10.1007/978-3-319-18167-7_10
The last decade a large number of applications in logistics, tourism and other fields have been studied and modeled as Orienteering Problems (OPs). In the orienteering problem, a standard amount of nodes are given, each with a specific score. The goal is to determine a path, limited in length, from the start point to the end point through a subset of locations in order to maximize the total path score. In this paper, we present a new hybrid evolutionary algorithm for the solution of the Orienteering Problem. The algorithm combines a Greedy Randomized Adaptive Search Procedure (GRASP), an Evolutionary Algorithm and two local search procedures. The algorithm was tested in a number of benchmark instances from the literature and in most of them the best known solutions were found.