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Analysis of Regional Economic Development Differences Based on Intelligent Hybrid Algorithm

机译:基于智能杂交算法的区域经济发展差异分析

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The diversities in the natural, social, and human environment of various regions often lead to the differences in their regional economic development level and industrial structure and layout; moderate regional differences can mobilize economic vitality and improve development efficiency, but excessive differences may lead to social instability or even turbulence. Intelligent algorithms or their improved and hybrid algorithms can recently achieve more suitable solutions to practical problems of nonlinear, discrete, nondifferentiable, and multiple constraints. Therefore, this paper's main point is on the analysis of regional economic development differences based on intelligent hybrid algorithms. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of regional economic development differences analysis, elaborated the development background, current status, and future challenges of intelligent hybrid algorithms, introduced the methods and principles of principal component distance weighting algorithm and sequential quadratic programming algorithm, constructed a basic model for regional economic development differences based on intelligent hybrid algorithm, conducted the construction of analysis index system and the hybrid of intelligence algorithm, analyzed the regional economic development differences based on intelligent hybrid algorithm, performed the principal component analysis and time-space change analysis of regional economic development, and finally carried out a simulation experiment and its result analysis. The study results show that the intelligent hybrid algorithm can simulate the intelligent behavior of certain groups in nature when analyzing the differences in regional economic development, so that it has essentially parallelism, high accuracy, and convergence speed. The study results of this paper provide a reference for further researches on the regional economic development differences analysis based on intelligent hybrid algorithm.
机译:各地区的自然,社会和人类环境中的多样性往往导致其区域经济发展水平和产业结构和布局的差异;适度的区域差异可以动员经济活力,提高发展效率,但过度差异可能导致社会不稳定甚至湍流。智能算法或其改进的和混合算法最近可以实现更合适的解决方案,以对非线性,离散,非增强和多个约束的实际问题。因此,本文的主要观点是基于智能杂交算法的区域经济发展差异分析。在总结和分析之前的研究作品的基础上,阐述了区域经济发展差异分析的研究现状和意义,阐述了智能杂交算法的发展背景,当前状态和未来挑战,介绍了主要成分的方法和原则距离加权算法和顺序二次编程算法,构建了基于智能杂交算法的区域经济发展差异的基本模型,进行了分析指标体系的构建与智能算法的混合动力量,分析了基于智能杂交算法的区域经济发展差异,进行了区域经济发展的主要成分分析和时空变化分析,最后进行了模拟实验及其结果分析。研究结果表明,当分析区域经济发展的差异时,智能混合算法可以模拟某些组的智能行为,使其具有基本上并行,高精度和收敛速度。本文的研究结果为进一步研究了基于智能杂交算法的区域经济发展差异分析的进一步研究。

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