Ant Colony Optimisation Algorithm
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Ant Colony Optimisation Algorithm

In the discipline of Operations Research, the Ant Colony Optimization algorithm (ACO) is a technique to solve complex combinatorial problems inspired by the behaviour shown by ants in nature, swarm intelligence.

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Optimization Applied to Health Care

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Optimization is often related to logistic problems, supply chains or resource management, where its aim is to get the more profit the better. However, this is a misconception of the…

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Sparklines for Excel

A set of free User Defined Functions for Microsoft Excel® to create Sparklines. The simple, intense, word-sized graphics invented by Edward Tufte & implemented by Fabrice Rimlinger. Very good graphics…

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OptNAR team (UPM) in final of AIMMS/MOPTA modeling competition

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Three UPM students are finalist AIMMS/MOPTA modeling competition. The OptNAR team, consisting of Raúl Pulido, Natalia Ibañez and Adrián Aguirre (INTEC), will present the results of their solution to a specific ‘Operating theater planning problem’ at the MOPTA conference on 14-16 August in Bethlehem, America.

They are researching at the UPM, in the Industrial Engineering doctorate program in the Math-based Decision Making in Logistics and Operations.

In this competition, teams consider a particular instance of an OR scheduling and sequencing problem. The goal of each team is to develop effective, quantitative, user-friendly tools to support an OR manager’s scheduling and sequencing decisions by using the AIMMS modeling environment.

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