Wyniki wyszukiwania - BazTech

1

Filogenetyka molekularna - genom człowieka

Czernicka M.

Laboratorium - Przegląd Ogólnopolski

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2014

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nr 7-8

18--22

PL

Genom człowieka jest źródłem dowodów na zdarzenia na drodze ewolucji molekularnej człowieka. Analiza genomu pozwoliła zidentyfikować zmiany w DNA, które przyczyniły się do rozdziału (specjacji) linii człowieka i szympansa około 5 milionów lat temu. Genomika porównawcza to narzędzie pozwalające na wyjaśnianie ewolucyjnej historii chromosomów i genów oraz poznanie organizacji ludzkiego genome.

EN

The human genome develops evidences for molecular events in human evolution. Genome analysis allowed to discover changes in human DNA which contributed to the evolution of human features after separation of the lineages of human and chimpanzee about 5 millions years ago. The comparative genomics is tool for clarifying the evolutionary history of chromosomes, genes and exploiting changes in the human genome organization.

2

Method of predicting the water level in the Dniester river, depending on weather conditions

Mandryk O. M., Horbiychuk M. I.

Journal of Applied Mathematics and Computational Mechanics

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2014

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Vol. 13, nr 1

45--59

EN

This paper deals with a new method of constructing mathematical models of complex processes aliquant vibration frequencies, based on the ideas of genetic algorithms. Compared with the method of data handling group, this method makes it possible to synthesize mathematical models of any complexity without selecting the number of rows selection. Moreover, the use of genetic algorithms will significantly reduce the number of calculations when iterating the models. The new point method can be used to predict both the physical phenomena and complicated processes. The authors created the model of changes in the water level in the Dniester river on the basis that the above method gives satisfactory results of forecasting.

3

Application of genetic algorithms in multi-objective optimization in room acoustics

Błażejewski A., Krzyżyński T.

Logistyka

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2010

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nr 6

EN

In the paper, a problem of proper, optimum distribution of an acoustic absorption materials on the room's boundaries, to obtain desirable acousticpressure level has been presented. Acoustic pressure distribution inside of a room can be described using modal analysis assumptions. Multi-objective function was created applying room's frequency response function and costs of absorption material distribution. Impedance values on each boundary were chosen as design variables. Search of the criteria minimum of the objective function, using genetic algorithm, has been conducted. As the result Pareto optimal solution i.e. set of material with the specific normal-absorption coefficient, properly distributed on boundaries has been found.

PL

Zaprezentowano problem optymalizacji rozmieszczenia materiału absorbującego akustycznie, na brzegach pomieszczenia zamkniętego. Do opisu rozkładu ciśnienia akustycznego w pomieszczeniu zastosowano analizę modalną. Zdefiniowano wielokryterialną funkcję celu wykorzystując odpowiedź częstotliwościową pomieszczenia oraz funkcję kosztów rozmieszczenia materiału absorpcyjnego. Wartości impedancji na poszczególnych brzegach pomieszczenia zostały wybrane jako zmienne decyzyjne. Do poszukiwania minimum poszczególnych kryteriów w funkcji celu wykorzystano algorytm genetyczny. W rezultacie otrzymano zestaw rozwiązań Pareto optymalnych tj. układ materiału o specyficznym współczynniku absorpcji akustycznej rozmieszczony odpowiednio na brzegach pomieszczenia.

4

Optimization methods based on genetic algorithm

Klieštik T., Kráľ P.

Logistyka

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2009

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nr 6

CD-CD

EN

This article dealt with genetic algorithm. Genetic algorithms belong to one of the stochastic optimizing methods inspired by nature. We can use them in all the situations where search for the exact solution of everyday tasks with the help of systematic examination is infinite. This is why they enable elegant way of solving complex problems.

5

On Hamiltonian graphs arising from spatial orders of chromosomes of even number

Dorninger D., Hueber B.

Demonstratio Mathematica

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2001

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Vol. 34, nr 3

733-742

EN

According to Bennett's model of cytogenetics the spatial order in haploid chromosome complements is based on a similarity relation which gives rise to a multigraph G which is the edge-disjoint union of two of its subgraphs G1 and G2. For even chromosome numbers n Bennett's model postulates that the order of the n chromosomes is given by a Hamiltonian circuit of G alternating in the edges of G1 and G2 o However, such a Hamiltonian circuit does not always exist. We impose a weak condition on the similarity relation and prove that under this condition the assumed Hamiltonian circuit does exist for all even chromosome numbers n < 50, which settles the case for all biological relevant species with n pairs of chromosomes. Moreover we study the structure of the graph G in respect to cycle decompositions and possible generalizations of our results.

6

Application of genetic programming to the location of mine tremors

Kowalik S.

Acta Geophysica Polonica

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2000

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Vol. 48, nr 1

27-41

EN

The article presents a method for the determination of tremor epicentre in a mine using several seismographs. Station equations for the S-P method have been transformed into the form required by a non-linear smoothing method. An error function of tremor location has been created as a sum of squares of measurement errors. The calculation of the minimum of the error function allows us to obtain coordinates of the epicentre of tremors. To find the minimum of the objective function (error function), genetic programming was used. Algorithms in genetic programming enable us to find the minimum or maximum of the global function of many variables in the case of occurrence of many local minima or maxima. An example (based on imaginary data) of applying genetic programming for the location of hypocentres of mining tremors is presented.