Contributions to Proceedings:

K. Sylejmani, J. Dorn, N. Musliu:
"A Taboo Search approach for solving Multi Constrained Team Orienteering Problem for application in touristic trip planning";
in: "12th International Conference on HybridIntelligent Systems", issued by: IEEE; IEEE Computer Society, 2012, ISBN: 978-1-4673-5114-0, 300 - 305.

English abstract:
The touristic trip planning problem can be
considered as a Multi Constrained Team Orienteering
Problem with Time Windows (MCTOPTW). The MCTOPTW
is characterized with a set of points of interest (POI), each
having a score, a time window and some attributes such as the
type or entry fee. The maximum number of POIs of certain
types that can be included into the itinerary is limited. A
tourist can visit the POIs during their respective time windows.
The objective is to visit the points that have the highest scores
during specified periods of time. This paper proposes a Tabu
Search approach for solving the MCTOPTW problem. To
explore the neighborhood the moves Insert, Replace and Swap
are applied. Additionally, the algorithm employs a tabu list, a
perturbation and a diversification mechanism. The algorithm
is evaluated on benchmark instances from the literature and its
performance is compared to the state of the art results.

Constrained Team Orienteering Problem with Time Windows; Touristic Trip Planning; Tabu Search;

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.