记忆就是产生纳米粒子，然后这些微小的纳米细胞渗入脑细胞中，产生促使记忆大幅增长的化学物质。

The creation of nano-particles that can be consumed where the tiny nano cells would penetrate the cells in the brain to release chemicals that allow for massive increases in memory.

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但是粒子群算法没有遗传操作如交叉和变异，而是根据自己的速度来决定搜索。粒子还有一个重要的特点是记忆。

But the particle swarm without the inheritance operation such as cross and variation, decided the searching according to its speed, and particle has an important memory character.

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为了加快粒子群算法的收敛速度，论文在传统粒子群算法中引入了记忆机制。

In order to speed up convergence, this paper implants the memory mechanism in the traditional binary PSO.

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