Search results for "Genetic algorithm"

showing 4 items of 834 documents

Application of artificial neural network and genetic algorithm to forecasting of wind power output

2007

tuulienergiagenetic algorithmforecastingneuroverkotwind powerartificial neural network
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Model organisms and their application in environmental epigenetics

2020

Abstract Epigenetic mechanisms operate at the interface between the environment and the genome of a given organism. More particularly, they convert environmental stimuli as diverse as chemical pollutants, nutritional components, temperature changes, and social conditions into changes in the chromatin landscape, which influence gene expression in the absence of alterations in the DNA sequence, ultimately leading to phenotype adaptation and diversification. The use of experimental model organisms in epigenetics research allows for the careful manipulation of environmental factors in order to understand how they mechanistically modulate the establishment, maintenance, and inheritance of epigen…

ved/biologyved/biology.organism_classification_rank.speciesInheritance (genetic algorithm)EpigeneticsComputational biologyAdaptationBiologyModel organismGenomePhenotypeOrganismChromatin
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Generating TV summaries for CE-devices

2002

Automatically generated summaries of TV content are indispensable for content selection and navigation in CE-devices. We show two different types of summaries: Short video trailers and visual overviews consisting of representative frames. The demo does not only show the feasibility of the proposed algorithms, but also shows how different types of generated summaries can be used in future CE-devices.

video summarizationInformation retrievalMultimediaContent analysisComputer scienceVideo indexingcomputer.software_genreVideo indexing; video summarizationcomputerSelection (genetic algorithm)
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Ģenētiskais algoritms optimizācijas metodēs

2017

Bakalaura darbā tiek aprakstīts ģenētiskais algoritms, kas ir viens no optimizācijas metožu jaunākajiem un mazāk pazīstamajiem algoritmiem. Teorijas apskatā aplūkots ģenētiskā algoritma konstrukcijas elementi: derīguma (fitness) funkcijas izveide, reproducēšanās, krustošanās un mutāciju operatori. Praktiskajā pielietojumu daļā apskatīti vairāki piemēri (tanī skaitā ceļojošā pārdevēja problēma). Piemēru realizācija veikta ar paketi R .Sniegts neliels metožu salīdzinājums.

ģenētiskais algoritmsMatemātikagenetic algorithmoptimization methodsoptimizācijas metodesderīguma funkcija
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