Analyses of the resources system selection algorithms for agile/virtual enterprises integration through genetic algorithms

  • Authors:
  • Paulo Ávila;Goran D. Putnik;Ana M. Madureira

  • Affiliations:
  • Institute of Engineering, Polytechnic Institute of Porto, Portugal;University of Minho, Portugal;Institute of Engineering, Polytechnic Institute of Porto, Portugal

  • Venue:
  • EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.