Tri-objective co-evolutionary algorithm and application of suspension parameter design based on lizard behavior bionics

Using bionic research based on three types of male side-blotched lizard behavior and multiple survival mechanisms, a co-evolutionary algorithm for tri-objective optimization is proposed. This method takes three design objectives as three lizards and maps the design variables as the lizard population’s chromosomes; three types of lizard self-genetic factors are formed from the chromosomes. Based on these three types of lizard behavior, the mapping relationship between a self-adaptive function and the three objective functions is established. A new chromosome is made with the optimal genes. Based on a convergence condition, the optimal chromosome is obtained with multi-generation evolution. Considering road surface damage and ride comfort, it sets an acceleration RMS, with the tire’s relative dynamic load and suspension’s maximum dynamic stroke as multi-objective functions, which establishes the tri-objective optimization model. The calculation results show the effectiveness and practicability of the proposed method.

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