科技资源空间优化配置研究：基于C-PSO算法

Ajavascript:DisplayMenu('102','稿件查询','ajax/author/query_article_list_ui.aspx?my_menu_id=102','0')n Analysis of Location Optimization of Science and Technology：Based on the approach of C-PSO

摘要:

尽管经济社会发展过程中，科技产业和资源起到的推动作用已经得到了足够的重视，但目前学界和业界关注更多的是科技资源在投入规模、要素协调方面产生的产出效率问题，而忽视了另一种至关重要的资源配置问题：科技资源空间优化布局问题。本文在对现有文献进行梳理的基础上，构建了一个科技资源布局选址模型，并利用C-PSO算法进行了仿真运算。研究结论表明，在科技资源需求、客户空间位置等外部环境给定的情形下，利用C-PSO算法计算发现，存在着资源配置效率最高对应空间布局。因此，政府在指导科技资源政策时，需要重视科技资源的空间优化配置问题，特别是利用科学、有效的技术方法来进行科技资源的空间布局决策。

Abstract:

Despite with the economic and social development, the role of science and technology industry and resources has already received enough attention, but the academic circles and the industry focus more on science and technology resources in scale, the elements of coordination input-output efficiency, and neglect another vital resource allocation problem: optimal layout problem of space science and technology resources. In this paper, on the basis of carding literature, we build a model of science and technology resources layout and site selection, and used the C - PSO algorithm for a simulated computation. Research results indicate that, in the science and technology resources, customer demand space such as the external environment of the given circumstances, C - PSO algorithm is used to calculate, found that there is a resource allocation efficiency highest corresponding spatial layout. Therefore, the government in the guidance of science and technology resources policy, need to attach importance to science and technology resources optimized configuration of space, especially the use of scientific and effective methods for science and technology resources spatial layout decisions.