Notice of RetractionResearch on genetic algorithm based on oriented weighted crossover operator

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.

Crossover is the most important step in genetic algorithm, which passes on good genes of the parents to the next generation. However, the crossover operator can´t ensure the offspring finding the globally optimum because of its blind search. A weighted crossover operator is proposed to overcome the disadvantages. Weighted values are calculated according to the adaptive values of the parents. One offspring is generated through the weighted crossover operator. On this basis, an oriented weighted crossover operator is proposed to increase the probability of finding excellent solution genes. The convergence of the genetic algorithm based on this crossover operator is proved. Experiments show that the genetic algorithm based on this operator has a good performance in searching optimum.