基于遗传算法的汽车永磁发电机多目标优化设计

Multiobjective Optimal Design of Automobile Permanent Magnet Generator Based on Genetic Algorithm

提出了一种基于遗传算法的汽车永磁发电机多目标优化设计。该设计通过改进的遗传算法进行多目标优化。改进的遗传算法采用二进制编码,规范化几何秩选择,混合交叉及均匀变异。优化结果表明,在单目标函数和多目标函数情形下均搜索到全局最优解,遗传算法为多目标优化提供了有效的途径。同时经过反复计算后,获得一些具有实用价值的经验数据,对永磁电机的设计起到一定指导作用。

This paper proposes a multiobjective optimal design of automobile permanent magnet generator based on genetic algorithm.The design solves a multiobjective optimal problem using improved GA..The improved GA uses binary strings encoded,normalized geometric ranking selection,hybrid crossover and uniform mutation.The results show that the optimal solution can be searched with the multiobjective..The GA provides an effective tool for multiobjective optimal design.Furthermore,some experience data is obtained through calculation.It gives directions to the design of automobile permanent magnet generator.