Optimization of Knowledge in Companies Simulating M6PROK© Model Using as Hybrid Methodology a Neuronal Network and a Memetic Algorithm

Authors:
Ana Maria Lara;Lourdes Sáiz;Joaquín Pacheco;Rafael Brotóns
Affiliations:
Department of Civil Engineering, University of Burgos, Spain;Department of Civil Engineering, University of Burgos, Spain;Department of Applied Economy, University of Burgos, Spain;Grupo Antolín Deutschland,
Venue:
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Year:
2008

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Abstract

The pursuit of this paper is to give answers to the companies in order to know how profitable the knowledge they are acquiring, updating and transferring is. The scope of the application is carry out through a recent developed model, called Model of the Six Profitable Stages(M6PROK©) applied in twenty three companies of the service sector. Feasibility of the aforementioned model, results and conclusions are proved through the display of a Hybrid Architecture based in Neural Nets and Memetic Algorithms.