Notice of RetractionA scheduling model based on genetic algorithms for parallel and batched maintenance tasks

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.

After analyzing different styles of designing specialty, the paper establishes a scheduling model based on genetic algorithms (GAs). This method is designed for optimizing parallel and batched maintenance tasks of multi-specialty and minimizing the time of recovering the battle effectiveness of combat units. The proposed method involves two steps. Firstly, the optimized sorting model of combat units is established. Secondly, the scheduling and optimizing model for batched maintenance tasks in the specialty is established. The GA is used to optimize the resulting problems. The results demonstrate the validity and feasibility of the model and the method.