基于量子粒子群优化算法的斜齿轮设计

Multi-objective optimization design of the bevel wheel based on QPSO

粒子群优化算法是一种基于群智能的优化方法,量子粒子群优化算法是基于PSO进行改进的算法,规则简单、收敛速度快、易于编程实现。对于多约束条件的斜齿轮传动的优化设计,笔者提出了一种基于量子粒子群优化算法优化求解的方法,实践表明能够快速、有效求得优化解,是求解齿轮优化设计问题的一个较好方案。

PSO （Particle Swarm Optimization） is an optimization algorithm for swarm intelligence optimization. QPSO （Quanturn Particle Swarm Optimization ） is an evolutionary algorithm based on PSO. Compared to other evolutionary algorithm, its converges is more quickly and its rules are simpler, also the programming is easier. In this paper, QPSO is developed to optimize the multi - objective optimization design of the bevel wheel. The results of experiments show that the optimal solution can be quickly and effectively reached with QPSO. Thus QPSO is proved to be an effective method for multi - objective optimization design of bevel wheel.