Industrial Clusters Evolution Research Based on the SGA

2010 International Conference on Computational Intelligence and Security Pub Date : 2010-12-11 DOI:10.1109/CIS.2010.33

Ya-juan Yang, Pingan Wang, Wenxue Niu

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引用次数: 2

Abstract

From the evolution view point, the evolving rules of industry clusterings are investigated by multi-agent system modeling method and the genetic algorithms is employed as the learning algorithm of an agent. Firstly, industrial clusterings is formed as a conceptual model which is a virtual multi-agent system, Secondly, the basic genetic algorithm is established for identifying an agent's intelligent learning, Thirdly, simulation results are carried out based on Matlab2007b for the evolving of this multi-agent system, Finally, the research results feedbacks the industrial clusterings: analysis made for the evolution rules of the industry clusters being brought on the interactions of individual agent. The study in this paper shows that the evolution of industrial clusters comes from the complex interaction of agents so as to adapt the environment. Driver for the evolution of industrial clusters is the leading action of initiative enterprize. It is the case that the innovations of these enterprisers drives the whole industry going forward as well as the other members of industry clusterings.

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基于SGA的产业集群演化研究

从演化的角度出发，采用多智能体系统建模方法研究产业集群的演化规律，采用遗传算法作为智能体的学习算法。首先，将产业集群作为一个虚拟的多智能体系统的概念模型，其次，建立识别智能体智能学习的基本遗传算法，然后，基于Matlab2007b对该多智能体系统的演化进行仿真，最后，将研究结果反馈给产业集群:分析了个体主体相互作用对产业集群演化的影响规律。本文的研究表明，产业集群的演化来源于主体之间复杂的相互作用，以适应环境。产业集群演化的驱动力是主动性企业的主导作用。事实上，这些企业家的创新带动了整个产业的发展，也带动了产业集群的其他成员。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2010 International Conference on Computational Intelligence and Security

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