Multi-objective optimization based on dynamic planning for sustainable tourism modeling

In recent years, many areas such as Juneau, Alaska, USA have been affected by over-tourism, which has led to ecological degradation and affected the normal life of residents. This study aims to build a sustainable tourism model, to balance economic and ecological sustainable development, and solve the problem of tourism overdevelopment. This paper researches a business system that balances economic growth and ecological health by building a multi-objective optimization sustainable tourism model based on dynamic planning. To establish a sustainable tourism model, this study takes Juneau as the research object, selects five objective functions and influencing factors, collects data on the number of tourists, annual income, and CO2 annual emissions in Juneau, to establish the objective equations with constraints. This paper normalizes the data, sets up a dynamic weight adjustment mechanism to assign weights, and uses MATLAB to get the optimal annual results in the five aspects, and visualizes the results. Finally, a sensitivity analysis of the model is performed, and the results show that the number of tourists is the core factor affecting sustainable tourism. Based on this, this paper proposes a revenue expenditure strategy of spending 30% of the additional revenue on infrastructure development and 50% of the additional revenue on environmental protection. The study shows that the model has feasibility and practical significance, and it can effectively analyze the influencing factors of sustainable tourism, provide a basis for tourism development, and is of great significance to sustainable tourism development.