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Research on resource allocation method in universities based on user participation

机译:基于用户参与的高校资源分配方法研究

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Resource allocation problem in universities belongs to office automation research issues, which is one of the important businesses for management departments in universities. Aiming at “Just, Fair and Open” principle and purpose of user-oriented resource management, rational allocation by means of informatization and efficient use of resources is certainly an effective way. In this paper, we study the problem of resource allocation method in universities with user participation. A layered reference model of reservation system for university resources is presented. Taking multiple constraints into account, including user satisfaction, resource utilization, user coverage etc., the resource allocation is made much fit to the actual situation, however, the problem complexity increases correspondingly, leading to the adoption of an intelligent algorithm solution. Hence, an improved ant-colony-optimization-based resource allocation algorithm with user participation is proposed. By feasibility analysis of algorithm, it is shown that the proposed algorithm to solve the multi-objective optimization problem with multi-constraint is feasible and valid. As the layered idea of the model is applicable to other system, so it has broad application value.
机译:高校资源配置问题属于办公自动化研究问题,是大学管理部门的重要工作之一。针对“公正,公平,公开”的原则和面向用户的资源管理的目的,通过信息化和资源的有效利用进行合理分配无疑是一种有效的方法。在本文中,我们研究了有用户参与的大学中资源分配方法的问题。提出了大学资源预定系统的分层参考模型。考虑到包括用户满意度,资源利用率,用户覆盖范围等在内的多种约束,资源分配非常适合实际情况,但是问题的复杂性相应增加,导致采用智能算法解决方案。因此,提出了一种改进的具有用户参与的基于蚁群优化的资源分配算法。通过对算法的可行性分析,表明所提出的解决多约束多目标优化问题的算法是可行和有效的。该模型的分层思想适用于其他系统,因此具有广泛的应用价值。

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