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Proceedings 2018, 2(18), 1189; https://doi.org/10.3390/proceedings2181189

Laboratory Samples Allocation Problem

MODES Research Group, Department of Mathematics, University of A Coruña, A Coruña 15001, Spain
Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018.
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Published: 14 September 2018
PDF [610 KB, uploaded 14 September 2018]

Abstract

This work aims to solve the optimization problem associated with the allocation of laboratory samples in plates. The processing of each of these plates is costly both in time and money, therefore the main objective is to minimize the number of plates used. The characteristics of the problem are reminiscent of the well-known bin packing problem, an NP-Hard problem that, although it is feasible to model as a linear programming problem, it cannot be solved at a reasonable cost. This work, proposes the implementation of a heuristic algorithm that provides good results at a low computational cost.
Keywords: optimization; planning problem; simulated annealing; linear programming; bin packing optimization; planning problem; simulated annealing; linear programming; bin packing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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MDPI and ACS Style

Davila, D.N.; Rodríguez, L.C.; Freire, S.L. Laboratory Samples Allocation Problem. Proceedings 2018, 2, 1189.

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