Urban Community Development Planning Method Based on Partial Multi-Objective Evolutionary Algorithm

Abstract

Aiming at the unreasonable problem of current urban spatial planning, this paper puts forward the urban community development planning preparation method based on partial multi-objective evolutionary algorithm. Firstly, the functional requirements of urban community development planning are analyzed, the urban community development planning preparation model is constructed based on residential needs, and the partial multi-objective evolutionary algorithm is used to optimize the urban community planning algorithm to give full play to the advantages of community function to the greatest extent, based on the algorithm results, the urban community development planning system is improved. Finally, the experiment proves that the urban community development planning method based on partial multi-objective evolutionary algorithm has high practicability, which can better ensure the rationality of urban spatial community planning and fully meet the research requirements.