A DNA-based in vitroGenetic Program

被引:0
|
作者
J.A. Rose
M. Hagiya
R.J. Deaton
A. Suyama
机构
[1] The Universityof Tokyo,Department of Computer Science
[2] The University of Arkansas,Department of Computer Science and Computer Engineering
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关键词
DNA computing; genetic program; Hamiltonian Path;
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摘要
In PNA-mediated Whiplash PCR (PWPCR), autonomous molecular computation is implemented by the recursive polymerase extension of a mixture of DNA hairpins. Like other methods based on exhaustive search, however, application to problem instances of realistic size is prevented by the exponential scaling of thesolution space. The tendency of evolving populations to minimize the sampling of large, low fitness basins suggests that a DNA-based evolutionary approach might be an effective alternative to exhaustive search. In this work, PWPCR is modified to support the evolution of a population of finite state machines. A practical, in vitroalgorithm for applying this architecture to evolve approximate solutions to instances of the NP-complete problem, Hamiltonian Pathis described in detail.
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页码:493 / 498
页数:5
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