Notice of RetractionMulti-objective optimization design of vehicle suspension based on Stackelberg

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 this paper, Stackelberg oligarch game method is applied to optimize a linear passive vehicle suspension model with eight DOF; taking seat acceleration RMS, tire´s relative dynamic load and suspension´s maximum dynamic stroke as objective functions, we established optimization design model and presented the optimal methods. Taking objectives as players, by calculating the affecting factors of the design variables to objective functions a, the design variables are divided into different strategic spaces owned by each player. Based on Stackelberg oligarch game model, each game player takes its payoff as mono-objective to optimize its own strategic spaces and obtains the best strategy to deal with the others. All the best strategies are combined as a game strategy set. By multi-gaming, the final solution meeting given convergence of criterion is obtained.