Notice of RetractionA hybrid collaborative evolutionary method for Job Shop scheduling with parallel machines

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.

In order to solve the problem of Job Shop scheduling with parallel machines considering energy consumption, an optimization model of Job Shop scheduling with parallel machines was constructed, in which the energy consumption factor was included. The objective function of the model was to minimize the sum of completion time, number of tardiness workpieces and energy consumption. A hybrid collaborative evolutionary method was adopted to design the algorithm of Job Shop scheduling with parallel machines. In the algorithm a neighborhood-based evolutionary strategy was adopted to improve the population diversity. Finally, feasibility and effectiveness of the method are verified by an application case.