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Another memory strategy is spaced retrieval.
In this method, a reinforced memory strategy is designed to update the local leaders of particles for avoiding the degradation of outstanding genes in the particles, and a uniform combination is proposed to balance the local exploitation and the global exploration of algorithm.
In this algorithm, a reinforced memory strategy is designed to update the local leaders of particles for avoiding the degradation of outstanding genes in the particles, and a uniform combination is proposed to balance the local exploitation and the global exploration of algorithm.
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Their memory strategies were evaluated by checking one or more of the following options: auditory rehearsal, verbal rehearsal, visual imagery, somatosensory imagery, movement, no specific strategy.
Although cognitive exercises and memory strategies are structurally distinct, they have often been analysed together.
Thirdly, a memory trace map-based memory reduction strategy is used for lowering the system memory requirement.
The memory-intensive strategy is realized by long initial model visits and high proportions of the 'high-memory' sub-strategy.
For more complex patterns, the use of the memory-intensive strategy is reduced, while more re-acquisition steps are performed.
Results show that the frequency of the memory-intensive strategy is increased for larger inter-area separations (larger walking distances) and for simpler block patterns.
Due to erase-before-write characteristics of NAND flash memory, wear-leveling strategy is very important in determining the performance and lifetime of NAND flash memory in solid state drives.
The potential benefits of using an adaptive memory switching strategy are discussed and illustrated through a benchmark example.
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