Tourism Route Design of Characteristic Local Landscape Based on Improved Ant Algorithm

With the rise of leisure tourism and the improvement of attention to rural landscape, the rural areas in the suburbs of metropolis absorb urban resources in the process of development, and have the advantage of developing rural tourism. The rural areas have been greatly improved in environmental infrastructure and landscape construction, and the rural areas in the suburbs have gradually become the consumption space of emerging urban residents. This paper improves the basic ant colony algorithm, adds the stage of centralized search scope, real-time updating pheromone, and pheromone rollback mechanism, and uses MATLAB software to customize a comprehensive travel route plan. In order to spend less money and get the most comfortable travel experience, the cost target and experience target are integrated, and a tourism route planning model based on ant colony algorithm is established, and the improved ant colony algorithm is used to solve the planning model. Finally, the model is applied to practical cases, and the optimal travel path that meets the requirements is obtained through calculation and analysis.