Notice of RetractionMixed-coding Differential Evolution Algorithm for Integer Programming

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.

Mixed-coding population Differential Evolution algorithm was proposed for integer programming. Firstly, each individual in the initial population with two different fields, one is real and the other is integer, is generated. Then a new operator, boundary-handling operator, was added to the original Differential Evolution to ensure each population generated by the mutation operator and crossover operator satisfying the boundary constraints. Lastly a new mapping operator was put forward to map one real number into an integer number, which is stored in the integer field. Two initial simulation results of two integer programming with the size of 30 variables show it is effective and efficient. Mixed-coding Differential Evolution algorithm is a new effective way for solving the integer programming problems.