关键词: 蜗杆传动, 元胞遗传算法, 差分进化, 多目标优化

Abstract: In order to solve the multi-objective optimization design model of worm transmission, an Adaptive Differential Evolution Cellular genetic algorithm（ADECell） is proposed. In connection with the characteristics of cellular genetic algorithm, this algorithm improves the basic differential evolution strategy and obtains a parameter adaptive control strategy. The proposed algorithm is compared with 4 state-of-the-art multi-objective evolutionary algorithms on the three-objective benchmark test problems. Simulation results show that ADECell can ensure good convergence while has uniform distribution and wild coverage area for obtained Pareto optimum solution. The results of engineering example show the feasibility of the proposed algorithm.

Key words: worm transmission, cellular genetic algorithm, differential evolution, multi-objective optimization