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International Journal of Advanced Research
Article . 2017 . Peer-reviewed
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DIVIDE ROW MINIMA AND SUBTRACT COLUMN MINIMA TECHNIQUE FOR SOLVING ASSIGNMENT PROBLEMS.

Authors: Hossen, Mohammad Anwar; Afsana Akther.;

DIVIDE ROW MINIMA AND SUBTRACT COLUMN MINIMA TECHNIQUE FOR SOLVING ASSIGNMENT PROBLEMS.

Abstract

Assignment problems deal with the question how to assign n objects to m other objects in an injective fashion in the best possible way. An assignment problem is completely specified by its two components the assignments, which represent the underlying combinatorial structure, and the objective function to be optimized, which models \\\\\\\"the best possible way\\\\\\\". The assignment problem refers to another special class of linear programming problem where the objective is to assign a number of resources to an equal number of activities on a one to one basis so as to minimize total costs of performing the tasks at hand or maximize total profit of allocation. In this paper we introduce a new technique to solve assignment problems namely, Divide Row Minima and Subtract Column Minima .For the validity and comparison study we consider an example and solved by using our technique and the existing Hungarian (HA) and matrix ones assignment method(MOA) and compare optimum result shown graphically.

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Keywords

Assignment Problem Hungarian Assignment method (HA) and matrix ones assignment method (MOA) Linear Programming.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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