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- W2072854558 abstract "We present a population genetic algorithm which satisfies detailed balance, and which has a stationary distribution that factorises into an explicit form for arbitrary fitness functions. For a population size of 1, it is the Metropolis algorithm with a `breeder' proposal distribution; it extends to larger populations in a natural way, and the stationary (that is, the mutation-selection equilibrium) distribution is exactly known in a simple form for any population size. We term this algorithm exchangeable breeding tuple product sampling (EBT). EBT is closely related to some non-parametric Bayesian Markov-chain Monte Carlo sampling algorithms. EBT can also be viewed as a generalisation of the Moran process." @default.
- W2072854558 created "2016-06-24" @default.
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- W2072854558 date "2015-07-11" @default.
- W2072854558 modified "2023-09-24" @default.
- W2072854558 title "Efficient Sampling with Small Populations" @default.
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- W2072854558 doi "https://doi.org/10.1145/2739482.2764708" @default.
- W2072854558 hasPublicationYear "2015" @default.
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