Application of Improved Adaptive Genetic Algorithm in Integrated Optimization Design of Active Vibration Isolation System
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.
adaptive genetic algorithm active vibration isolation system integrated optimization introduction
Zhang Yi Zhang Hu Xia Min-min Fang Zi-fan
Hubei Key Laboratory of Hydroelectric Machinary Design & Maintenance China Three Gorges University Yichang, 443002
国际会议
太原
英文
448-452
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）