| 基于粒子群优化的绩效考核指标的研究与应用 |
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| 引用本文： | 赵思远.基于粒子群优化的绩效考核指标的研究与应用[J].计算机系统应用,2016,25(8):269-271. |
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| 作者姓名： | 赵思远 |
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| 作者单位： | 东北石油大学 计算机与信息技术学院, 大庆 163318 |
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| 基金项目： | 中国石油天然气集团公司重大专项（2013E-38-09，2014YJX90001） |
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| 摘 要： | PSO（粒子群优化算法）在实际生活中的发展趋势近几年呈现一种飞跃的趋势. 被应用在很多方面中. 考虑到其优越性. 将其应用到绩效考核的评价中. 现有的考核评价方法不能够很好地解决当下的问题，本文提出了一种基于粒子群优化的绩效考核评价的方法来对绩效考核指标进行优化，使其能够帮助考核人员对被考核人员进行评价.
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| 关 键 词： | 绩效考核 PSO 优化模型 |
| 收稿时间： | 3/5/2016 12:00:00 AM |
| 修稿时间： | 2016/3/31 0:00:00 |
Research and Application of Performance Evaluation Index Based on Particle Swarm Optimization |
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| ZHAO Si-Yuan.Research and Application of Performance Evaluation Index Based on Particle Swarm Optimization[J].Computer Systems& Applications,2016,25(8):269-271. |
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| Authors: | ZHAO Si-Yuan |
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| Affiliation: | College of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China |
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| Abstract: | PSO (PSO) trends in real life in recent years presents a leap trend. It is used in many aspects. Taking its advantages into account. Its application is taken into the evaluation of the performance appraisal. The existing assessment methods can not solve the problem of the present., this paper proposes a particle swarm optimization based on performance evaluation methods to optimize the performance assessment indicators, so that it is able to help examiners to assess personnel Evaluation. |
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| Keywords: | performance appraisal PSO optimization model |
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