Notice of RetractionApplication of improved adaptive genetic algorithm in integrated optimization design of active vibration isolation system

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.

This paper presents an improved adaptive genetic algorithm for integration optimization design of active vibration isolation system. During the operation of the algorithm, according to the individual fitness, the crossover rate and mutation rate make adaptive adjustments in accordance with the sigmoid function curve, and individuals of each generation are saved according to optimal preservation strategy. Computing results and simulation analysis show that the improved adaptive genetic algorithm has good computational efficiency and convergence effect, and it has good applicability and feasibility in the field of optimal design. The integrated optimization design which combines mechanical structural design and controller design can effectively improve the system performance.