基于量子遗传算法优化的无线电能传输模型

传统方法设计电磁谐振式无线电能传输系统时,参数一直靠人工设定,实际应用中很难达到最优的传输效率。文章使用量子遗传算法对无线电能传输模型的参数进行优化,该算法以量子理论和量子计算为基础,采用量子比特实现个体编码,然后对每次迭代中的个体通过量子旋转门操作进行最优解搜索;最后,通过对一个谐振式无线电能传输系统进行仿真分析,对算法的有效性进行了验证;事实证明,该算法能够较快地搜索到局部最优解,验证了量子遗传算法对参数优化问题的有效性,为无线电能传输模型的制作优化奠定基础。

Research on Problem of Wireless power transfer systems based on Quantum Genetic Algorithm

A genetic algorithm was implemented to solve Wireless power transmission which is hard to analysis in this paper. This algorithm bases on quantum theory and calculation, individual codes is implemented by introducing quantum bit, then searches the optimal solution by using the quantum rotate gate. Finally, it takes a Wireless power transfer systems using near-field magnetic coupling as an example to validate effectiveness of this algorithm. It shows that this algorithm can get local optimal solution quickly and superiors to the optimal test set which other methods proposed; this proves that quantum genetic algorithm can solve problem of Wireless power transfer systems using near-field magnetic coupling and lays the foundation for the Wireless power transfer systems using near-field magnetic coupling.