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The process of resources systems selection takes an important part in Agile/Virtual Enterprises (A/V E) integration. However, the resources systems selection is a difficult matter to solve in A/VE because: it can be of exponential complexity resolution; it can be a multi criteria problem; and because there are different types of A/V Es with different requisites that have originated the creation of a specific resources selection model for each one of them. In our A/V E project we have made some progress in this matter and identified the principal gaps to be solved. This paper will show one of those gaps in the algorithms area to be applied to the problem. In attention to that gaps we address the necessity to develop new algorithms and with more information disposal, for its selection by the Broker. In this paper we propose a genetic algorithm to deal with a specific case of resources system selection problem when the space solution dimension is high.

Abstract
In this work, a survey is made of the analysis of the resource selection process. We approach the process also from the point of view of conventional enterprises but with particular emphasis on the existent models in Agile/Virtual Enterprises in order to identify the main limitations and shortcomings of the process. This analysis was focused in the global process of the resource selection, namely in terms of the pre-selection and selection phases, requisites, mathematical models, tools and other relevant areas in the existent models. It is concluded that the resource pre-selection is an area that is not adequately explored in a systematic way. The value concept is not incorporated in the selection process. As a result, a reasoned analysis is not performed of the decision-making process for creating an Agile/Virtual Enterprise. These conclusions were made to envision a future approach that allows the incorporation of new areas that contribute to the improvement of the resource selection process.