基于评估选取的QPSO算法在斜齿轮多目标设计中的应用

Application of QPSO Algorithm Based on Evaluated Selection to Multi-Objective Optimization Design of the Bevel Wheel

量子粒子群优化算法是基于量子行为对粒子群优化算法进行改进的优化算法,规则简单、收敛速度快、易于编程实现。对于多目标多约束条件的斜齿轮传动的优化设计,提出一种基于评估选取来改良QPSO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。

QPSO is an evolutionary algorithm based on PSO which is an optimization algorithm for Swarm Intelligence optimization. Compared with other evolutionary algorithm, its converges is more quickly and rules are simpler, also the programming is easier. Optimizes the multiobjective optimization design of the bevel wheel to develope QPSO. 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 the bevel wheel.