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• W2043938372 abstract "We consider a fixed size population that undergoes an evolutionary adaptation in the weak mutation rate limit, which we model as a biased Langevin process in the genotype space. We show analytically and numerically that, if the fitness landscape has a small highly epistatic (rough) and time-varying component, then the population genotype exhibits a high effective diffusion in the genotype space and is able to escape local fitness minima with a large probability. We argue that our principal finding that even very small time-dependent fluctuations of fitness can substantially speed up evolution is valid for a wide class of models." @default.
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• W2043938372 date "2011-04-22" @default.
• W2043938372 modified "2023-09-23" @default.
• W2043938372 title "Speeding up Evolutionary Search by Small Fitness Fluctuations" @default.
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• W2043938372 doi "https://doi.org/10.1007/s10955-011-0199-6" @default.
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