GRASP metaheuristic for the design of Tourist Trips
Short Abstract
Personalised electronic tourist guides play a central role the tourist satisfaction at destinations. They include points of interest recommendation and the planning of trips to visit them. The design of tourist trips at destination are based on efficient optimization procedures that require low computational effort. GRASP is a metaheuristic that provide efficient solution procedures suited for solving tourist trip design problems. We show the main features of GRASP algorithms in the application of the main versions of these problems.
Type of Submission
Paper Presentation
Location
Gran Canaria
Recommended Citation
Moreno Pérez, José Andrés and Brito Santana, Julio, "GRASP metaheuristic for the design of Tourist Trips" (2023). ITSA 2022 Gran Canaria - 9th Biennial Conference: Corporate Entrepreneurship and Global Tourism Strategies After Covid 19. 9.
https://docs.lib.purdue.edu/itsa/ITSA2022/ITSA2022/9
Participation
Attend the conference at Gran Canaria in person.
GRASP metaheuristic for the design of Tourist Trips
Gran Canaria
Personalised electronic tourist guides play a central role the tourist satisfaction at destinations. They include points of interest recommendation and the planning of trips to visit them. The design of tourist trips at destination are based on efficient optimization procedures that require low computational effort. GRASP is a metaheuristic that provide efficient solution procedures suited for solving tourist trip design problems. We show the main features of GRASP algorithms in the application of the main versions of these problems.
https://docs.lib.purdue.edu/itsa/ITSA2022/ITSA2022/9