A Mountaineering Algorithm for Urban Area Planning Model

Regional planning is the main content, but in the process of social development, economic expansion and geographical environment will reduce the accuracy. Based on this, this paper proposes a mountain-climbing algorithm to analyze regional planning, improve urban management, and shorten regional planning time. Then, a comprehensive assessment of the infrastructure is carried out. Finally, continuous monitoring is used for regional planning and output of final regional integration. The results show that the mountaineering algorithm can accurately improve the level of regional planning. Therefore, the mountain-climbing algorithm can meet regional planning requirements of urban management. The results show that the urban planning accuracy of mountaineering algorithm is over 90%, the change range is less than 6%, the completeness is more than 90%, and the planning time is less than 90 seconds, which is significantly better than the previous overall planning methods. This shows that mountaineering algorithm can improve the effect of urban planning and meet the actual requirements of urban planning.