Notice of RetractionPartner selection of virtual enterprise using two-layer ant colony optimization

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

To improve the partner selection quality of virtual enterprise (VE), an improved ant colony optimization (ACO) named two-layer ACO (TL-ACO) was proposed in this paper. According to the features of partner selection, TL-ACO divided each selection step into two stages and each stage was given independent pheromone and visibility. As a result of that, the objective function could be much simpler than if original ACO was used, and the local optimum solution can be easily avoid by using the local obstruction (LO) method which was developed based on bionics. The simulation experiment manifested that the TL-ACO was effective and high-efficiency.