关键词: 三维元胞结构, 多目标, 元胞遗传算法, 机床主轴, 优化设计

Abstract: In order to improve the convergence and diversity of cellular genetic algorithm in solving multi-objective problems, a 3D（three-dimensional） cellular genetic algorithm is proposed, which introduces a 3D topology, based on multi-objective genetic algorithm. Some multi-objective benchmarking problems are selected to assess the performance of the algorithm which is compared with other well-known multi-objective genetic algorithms. The results indicate that the improved algorithm achieves better results on the convergence and diversity. Then, the improved algorithm and several other algorithms are used to solve the machine tool spindle design optimization problem. The improved algorithm outperforms the others. The comparison shows that the improved algorithm is effective in solving this problem.

Key words: 3D cellular topology, multi-objective, cellular genetic algorithm, machine tool spindle, optimization design