An Application of Improved Fruit Fly Optimization Algorithm for Vibration Isolation System

Vibration isolation system is widely used in various engineering fields. The efficiency of vibration isolation depends on its structural parameters. In this study, an improved fruit fly optimization algorithm is put forward for the parametric optimal design of vibration isolation system. With the isolator parameters as optimal variables, the encoding scheme of fruit fly individuals, smell concentration judgment value function are introduced. In order to enhance the search efficiency and keep the diversity of solutions, adaptive smell-based search and vision-based search with random perturbation strategy are employed to coordinate the exploitation ability and the exploration ability of algorithm. Experimental results on optimal parameters design of two-stage vibration isolation system demonstrate the effectiveness of the algorithm. As an optimization technique, the method can be used for vibration isolation system design effort.