Notice of RetractionSimulation-based evolutionary optimization of complex multi-location inventory models

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.


A common strategy to solve real-world problems in economics that cannot be solved analytically is the simulation-based optimization approach, which requires the complete simulation of the system to evaluate its configuration. This idea is illustrated for a very general class of logistics systems, represented by multi-location inventory models with lateral transshipments, applying evolutionary optimization. These systems have become increasingly important in a globalized economic setting and strategies for the control of transshipments are questions of current research. In particular, we extend existing approaches by considering the future behavior of the system in order to reallocate or to increase assets.