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.
英
美
- 量子遺傳算法能用較小的種群規模實(shí)現較大的空間搜索,全局尋優(yōu)能力強,匹配追蹤的圖像稀疏分解是最優(yōu)化問(wèn)題,因此可用量子遺傳算法快速實(shí)現。