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TERM – a very simple and efficient method to solve assignment problems

机译:术语 - 解决分配问题的一种非常简单有效的方法

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An assignment problem (AP) is a particular case of a transportation problem, in which the objective is to assign (or allocate) a number of resources (say facilities) to an equal number of activities (say jobs) at an overall minimum total cost, distance, time (or maximum total profit). It occupies a very significant role in the real physical world for e.g. production planning, particular job tasks, economic etc. The most common method used to solve the APs is the Hungarian assignment method (HAM). In this paper, we make an effort to introduce a new approach to APs namely TERM for solving a wide range of APs with minimum effort of mathematical calculations. The proposed TERM method is based on the principle of reducing the given cost matrix to a matrix of opportunity costs (MOC) having at least one zero in each row and column and making assignments to the selected zero-entry cells of MOC which ensures best solution for a given AP. To verify the performance of the TERM method, 30 classical benchmark instances from the literature have been tested. Simulation results authenticate that the proposed TERM method is the most efficient method which produces optimal solution directly to 24 instances (i.e. 80% cases) next to the HAM.
机译:分配问题(AP)是运输问题的特定情况,其中目标是以总体最低总成本分配(或分配)许多资源(说工厂)(例如工作) ,距离,时间(或最大总利润)。它在真实的物理世界中占据了非常重要的作用。生产规划,特定工作任务,经济等。用于解决AP的最常见方法是匈牙利分配方法(火腿)。在本文中,我们努力向APS引入新方法,即术语,用于解决各种AP,最短的数学计算努力。所提出的术语方法基于将给定成本矩阵减少到每行和列中至少一个零的机会成本(MOC)的原理,并为MOC的所选零点单元进行分配,确保最佳解决方案对于给定的AP。为了验证术语方法的性能,已经过测试了来自文献的30个古典基准实例。仿真结果验证了所提出的术语方法是最有效的方法,它直接产生最佳解决方案(即80%案例)。

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