Differences Analysis and Development Strategies of Regional Economies Based on Intelligent Hybrid Algorithm

Abstract

In this paper, an intelligent hybrid algorithm for regional economic development difference analysis is proposed: firstly, the FCM algorithm is optimized by organically integrating the principal component distance weighting, genetic algorithm and simulated annealing algorithm, and the optimized FCM algorithm is used to classify the economic development level of each sub region. This paper studies and analyzes the differences in regional economic development. Taking the economic development difference of the Yangtze River Delta urban agglomeration as an example, this paper shows that the algorithm can effectively carry out a comprehensive analysis of the economic development difference of the Yangtze River Delta, well reflects the characteristics of the economic development of each city, and is an improved and feasible analysis method of regional economic development level difference.