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- W1992879080 abstract "This paper discusses a replacement of a typical, deterministic flow of control in the evolving program with a probabilistic one, which is then adapted using a supervised learning, until it hopefully converges back to a deterministic flow of control. The probabilistic flow of control allows for a continuous modification of the evolved program, which internally can consist of a set of competing paths of execution." @default.
- W1992879080 created "2016-06-24" @default.
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- W1992879080 date "2010-01-01" @default.
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- W1992879080 title "Genetic programming using adaptable stochastic flow of control" @default.
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- W1992879080 doi "https://doi.org/10.2478/v10179-010-0013-1" @default.
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