Study on Optimal Spatial Configuration of Indemnificatory Community Public Service Facility Based on Modified MOGA

Abstract

Due to the diversity of its objectives, the optimal spatial configuration process of public service facilities in indemnificatory communities is a multi-objective decision issue. As for the study on optimization for spatial configuration of indemnificatory community public service facility, it is important to find an objective, reasonable and effective method that can address multi-objective decision-making challenges. The method is also the foundation for achieving the effect of indemnification and building a harmonious society. Based on the overall objectives of “resource efficiency” and “maximum benefits”, this paper builds the modified Multi-objective Genetic Algorithm (MOGA) model for optimizing spatial configuration of indemnificatory community public service facility, conducts an empirical simulation based on the case of the New Jiangqiao City in Jiading District of Shanghai, with the purpose of introducing the optimal spatial configuration solution for public service facilities. Compared with the ordinary GA-based results, the optimal spatial configuration of public service facilities based on modified MOGA is more reasonable and compact. The model improves the configuration theory for public service facilities in indemnificatory communities, which is of substantial theoretical and practical significance for creating more scientific and reasonable configuration of public service facilities in indemnificatory communities.