Abstract:
This research presents a new sustainable tourism model using mobile tiny houses to optimize
tourist routes across several cities in France. The proposed model integrates environmental,
logistical, and experiential dimensions to minimize travel distance, maximize
profit, and enhance the tourist experience. A mono-objective approach using Simulated Annealing
(SA) was first implemented, followed by a multi-objective extension using Archived
Multi-Objective Simulated Annealing (AMOSA) to balance economic cost and environmental
impact. The model was tested on a realistic case study involving multiple French cities
and monthly travel periods. Results showed that the optimized routes significantly reduced
travel distance, minimized total cost, and supported carbon-friendly logistics. Tools such as
Python, CPLEX, and GUROBI were used for implementation and validation.
