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An application of a generalised assignment problem: assigning recruiters to geographical locations

机译:广义分配问题的应用:将招聘者分配到地理位置

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摘要

In order to increase the number of underrepresented students pursuing college degrees in health sciences fields in the state of West Virginia, the Health Sciences and Technology Academy (HSTA), a pre-college enrichment programme, was established. Due to a limited budget, a limited number of recruiters are available to recruit as many West Virginia High School students who satisfy the programme's selection criteria. As a result, recruiters are assigned to geographical locations (populations of potential HSTA students) such that the total value of the student populations assigned is maximised with respect to the programme selection criteria. This problem is defined as a generalised assignment problem (GAP), since more than one student population can be assigned to a recruiter such that the capacity of the recruiter is not exceeded. In this paper, a mathematical model, a construction algorithm, and a tabu search heuristic are presented for the proposed GAP.
机译:为了增加西弗吉尼亚州在健康科学领域攻读大学学位的人数不足的学生,建立了大学预备课程健康科学与技术学院(HSTA)。由于预算有限,招募人员的数量有限,只能招募到满足该计划选拔标准的西弗吉尼亚高中学生。结果,招募人员被分配到地理位置(潜在的HSTA学生人数),从而相对于课程选择标准,分配的学生群体的总价值最大。该问题被定义为广义分配问题(GAP),因为可以向一个招聘人员分配一个以上的学生群体,从而不会超过该招聘人员的能力。本文针对所提出的GAP提出了数学模型,构造算法和禁忌搜索启发式算法。

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