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基于蚁群理论的劳动力就业搜寻过程分析
引用本文:李永捷,周冬梅,鲁若愚.基于蚁群理论的劳动力就业搜寻过程分析[J].预测,2007,26(6):36-41,47.
作者姓名:李永捷  周冬梅  鲁若愚
作者单位:电子科技大学,管理学院,四川,成都,610054
摘    要:蚁群算法是一种新型的模拟进化算法,其模拟的是蚁群依赖信息素进行通信,通过对候选解组成的群体的进化来寻求最优解。本文通过引入蚁群理论来解释和分析劳动力在劳动市场中如何实现其就业搜寻过程,以及在搜寻过程中就业服务机构如何通过控制就业成本,调整网络信息素来实现对整个劳动力市场的控制和优化。最后,本文还引入了成都市劳动力资源调查活动中的相关数据对本文中的模型进行了验证分析,分析结果表明劳动力就业搜寻通过劳动服务机构的调节,缩短了成功就业搜寻时间。

关 键 词:信息网络  蚁群算法  就业搜寻过程
文章编号:1003-5192(2007)06-0036-06
收稿时间:2007-04-06
修稿时间:2007-04-06

The Analysis of the Labor Employment Searching Based On Ant Colony Theory
LI Yong-jie,ZHOU Dong-mei,LU Ruo-yu.The Analysis of the Labor Employment Searching Based On Ant Colony Theory[J].Forecasting,2007,26(6):36-41,47.
Authors:LI Yong-jie  ZHOU Dong-mei  LU Ruo-yu
Institution:School of Management, University of Electronic Science and Technology of China, Chengdu 610054, China
Abstract:The Ant Colony Algorithm is a kind of new emulated evolution algorithm,which imitates dependence information of ant colony to carry on correspondence,and searches the superior solution by the evolution of the community that constitutes to the candidate.The paper explains and analyzes how to realize employing searching for the labor force based on ant colony theories in the information network,and how to realize control and optimization of the labor market for the employment serving organization by regulating the information network pheromone during the searching process.At last,the paper test the model using the Chengdu labor resources.
Keywords:information network  ant colony algorithm  employment searching process
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