Notice of RetractionStudy on shape optimization of transmission tower based on genetic algorithm

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.

The transmission tower shape can be optimized by genetic algorithm to acquire the maximum fundamental frequency, Considering that there are some disadvantages such as premature convergence and low robustness in solving complex optimization problems with standard genetic algorithm, a new adaptive strategy is proposed to improve the performance of the algorithm, including the design for selection mechanism and the method of selecting both dynamic crossover and mutation probability. Then a solution is put forward for several problems in independent optimization program. Finally, a tower with 108 bars is designed to demonstrate the feasibility and effectiveness of the method.