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- W4363673048 abstract "Living systems adapt to various environmental conditions by changing their internal states through processes such as gene expression and epigenetic modification. In this paper, we propose a generic mechanism for optimization that combines fast oscillatory dynamics with a slower feedback fixation process. Through extensive model simulations, we demonstrate that the fast chaotic dynamics serve as a global search for optimal states, which are then fixed by the slower dynamics. This mechanism becomes more effective as the number of elements is increased. We also discuss the potential relevance of this optimization mechanism to problems in artificial neural networks." @default.
- W4363673048 created "2023-04-11" @default.
- W4363673048 creator A5053417186 @default.
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- W4363673048 date "2023-04-10" @default.
- W4363673048 modified "2023-10-01" @default.
- W4363673048 title "Generic optimization by fast chaotic exploration and slow feedback fixation" @default.
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- W4363673048 doi "https://doi.org/10.1103/physrevresearch.5.023017" @default.
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