"中国像素地图最优路线分析与优化研究"

rom the top left corner of the image, the points satisfying the values are found and assigned. Problem 2 is to find the shortest route between points A, B, C, and D without passing through foreign areas and red areas, without considering the complexity of the actual ground. Operations research optimization is used to analyze and solve the problem. Points to be passed between two points are searched for, and the range of each point is drawn in the map. MATLAB exhaustively calculates the distance sum of each point within the range, and then the minimum value of the distance sum is determined. In conclusion, this paper provides a detailed analysis of the optimal route problem in the Chinese pixel map. By using methods such as exhaustiveness and operations research optimization, the optimal routes between specific points can be determined efficiently. The study of the pixel map not only helps to understand the spatial distribution of different regions in China but also demonstrates the application of computational methods in solving real-world problems. Further research could explore more sophisticated algorithms for optimizing routes and consider additional factors such as traffic conditions and road types. Ultimately, the analysis of optimal routes on the pixel map contributes to the advancement of transportation planning and geographical analysis.