http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109712668-A

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Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_64c08dbbd66b52c9a43aa3682ae4aafe
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B15-00
filingDate 2018-11-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2a8206d91e399c38018bda5565114f7d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c308161da2809fcbc6da071ee54ff0dc
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_617cddee3ec5e36af28d10d4ce977ca9
publicationDate 2019-05-03-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-109712668-A
titleOfInvention Genetic method based on mimicry octopus rna editing
abstract The invention discloses a kind of genetic methods based on mimicry octopus rna editing.The present invention passes through four kinds of base A to mimicry octopus, C, G, U are encoded, and use for reference the rna editing thought of octopus, A is made a variation into G, RNA genetic algorithm is write, and optimizing, multiple comparative experiments are carried out to different test functions, it finally show that the algorithm has certain validity in optimizing performance, quickly can jump out local circulation and find global optimum;Help further to probe into the influence that rna editing mechanism evolves to mimicry octopus by the research to the algorithm.It is high, widely used that genetic algorithm of the present invention has the characteristics that low optimization accuracy, to preferably avoid locally optimal solution that traditional genetic algorithm solves the problems, such as and solving result is strongly depend on the defect of initial value.
priorityDate 2018-11-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 20.