QGA combining the genetic algorithm and the quantum information theory has a large search space with small population and a good global search capability, while image sparse decomposition based on MP is an optimal problem, so it can be fast solved by QGA.
QGA combining the genetic algorithm and the quantum information theory has a large search space with small population and a good global search capability, while image sparse decomposition based on MP is an optimal problem, so it can be fast solved by QGA.
量子遗传算法能用较小的种群规模实现较大的空间搜索，全局寻优能力强，基于匹配追踪的图像稀疏分解是最优化问题，因此可用量子遗传算法快速实现。