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Industrial cluster evolution simulation system based on particle swarm optimization

A particle swarm algorithm, industrial cluster technology, applied in computing, special data processing applications, instruments, etc.

Inactive Publication Date: 2014-06-04
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

Due to the complexity and uncertainty of different industrial clusters, there is no specific benchmark when establishing a cluster competitiveness evaluation system

Method used

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  • Industrial cluster evolution simulation system based on particle swarm optimization
  • Industrial cluster evolution simulation system based on particle swarm optimization
  • Industrial cluster evolution simulation system based on particle swarm optimization

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Embodiment Construction

[0060] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0061] like figure 1 As shown, the present invention has designed a kind of industry cluster evolution simulation system based on particle swarm optimization algorithm, it is characterized in that, comprises the following steps:

[0062] Step 001. Design an index system for evaluating the comprehensive competitiveness of industrial clusters, which includes factors of production, demand conditions, related and supporting industries, corporate strategic structure, and competition in the same industry;

[0063] Among them, the factors of production include natural resources, human resources, knowledge resources, infrastructure and capital resources; demand conditions include the demand in international and domestic markets; related and supporting industries include the upstream and downstream industry market conditions of industrial clu...

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Abstract

The invention relates to an industrial cluster evolution simulation system based on particle swarm optimization. An industrial cluster evolution simulation method includes the steps that an industrial cluster comprehensive competitive power evaluation index system is designed; an industrial cluster comprehensive competitive power EPCI evaluation model is designed; parameters of the industrial cluster comprehensive competitive power EPCI evaluation model are obtained; particle swarm optimization is performed on an industrial cluster phenomenon; according to a PSO algorithm, an industrial cluster evolution model based on the particle swarm optimization is designed; a fitting function of industrial cluster comprehensive competitive power three-dimensional information is designed, and a time-sharing effect picture simulating industrial cluster evolution is obtained. The industrial cluster evolution simulation system based on particle swarm optimization fills up the blank of the particle swarm optimization in industrial cluster evolution model establishing and can effectively solve the problem of industrial cluster evolution.

Description

technical field [0001] The invention relates to an industrial cluster evolution simulation system based on particle swarm algorithm. Background technique [0002] Since the beginning of the 21st century, the development of the global economy has entered an era of cooperation and competition. One of the important features is the emergence of a large number of industrial clusters described as "block economy" and "mosaic economy"; "Father" Michael Porter said: "The economic map of the world today is full of areas called clusters." Industrial clusters have become an effective tool to maintain sustained and rapid economic growth and play an important role in regional economic development. In the context of economic globalization, industrial clusters have become an important carrier of human economic activities and the backbone of regional economic development. We usually evaluate an industrial cluster by examining its comprehensive competitiveness; therefore, how to evaluate th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 张颖超熊雄张齐东叶小岭
Owner NANJING UNIV OF INFORMATION SCI & TECH
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