Search results

1

A novel method for non-destructive Compton scatter imaging based on the genetic algorithm

100%

Ashrafi S., Jahanbakhsh O., Alizadeh D., Salehpour B.

Open Physics

|

2013

|

vol. 11

|

issue 5

560-567

EN

Compton scattering tomography is widely used in numerous applications such as biomedical imaging, nondestructive industrial testing and environmental survey, etc. This paper proposes the use of the genetic algorithm (GA), which utilizes bio-inspired mathematical models, to construct an image of the insides of a test object via the scattered photons, from a voxel within the object. A NaI(Tl) scintillation detector and a 185 MBq 137Cs gamma ray source were used in the experimental measurements. The obtained results show that the proposed GA based method performs well in constructing images of objects.

2

Application of genetic algorithms to determine heavy metal ions sorption dynamics on clinoptilolite bed

100%

Tomczak E., Kamiński W.

Chemical and Process Engineering

|

2012

|

vol. 33

|

issue 1

103-116

EN

In the last decade a growing interest was observed in low-cost adsorbents for heavy metal ions. Clinoptilolite is a mineral sorbent extracted in Poland that is used to remove heavy metal ions from diluted solutions. The experiments in this study were carried out in a laboratory column for multicomponent water solutions of heavy metal ions, i.e. Cu(II), Zn(II) and Ni(II). A mathematical model to calculate the metals' concentration of water solution at the column outlet and the concentration of adsorbed substances in the adsorbent was proposed. It enables determination of breakthrough curves for different process conditions and column dimensions. The model of process dynamics in the column took into account the specificity of sorption described by the Elovich equation (for chemical sorption and ion exchange). Identification of the column dynamics consisted in finding model coefficients β, KE and Deff and comparing the calculated values with experimental data. Searching for coefficients which identify the column operation can involve the use of optimisation methods to find the area of feasible solutions in order to obtain a global extremum. For that purpose our own procedure of genetic algorithm is applied in the study.

3

Coherent control for the spherical symmetric box potential in short and intensive XUV laser fields

100%

Barna I., Dombi P.

Open Physics

|

2008

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vol. 6

|

issue 2

205-210

EN

Coherent control calculations are presented for a spherically symmetric box potential for non-resonant two photon transition probabilities. With the help of a genetic algorithm (GA), the population of the excited states are maximized and minimized. The external driving field is a superposition of three intensive extreme ultraviolet (XUV) linearly polarized laser pulses with different frequencies in the femtosecond duration range. We solved the quantum mechanical problem within the dipole approximation. Our investigation clearly shows that the dynamics of the electron current has a strong correlation with the optimized and neutralizing pulse shape.

4

Vibro- and sound protection in road machines by means of vibration absorbing

89%

Stosko Z., Diveyev B., Ljubas O., Stosko Z., Diveyev B., Ljubas O.

Archive of Mechanical Engineering

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2008

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vol. 55

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issue 3

5

Modelling articulated vehicles with a flexible semi-trailer

89%

Warwas K., Adamiec-Wójcik I., Warwas K., Adamiec-Wójcik I.

Archive of Mechanical Engineering

|

2013

|

vol. 60

|

issue 3

6

Hybrid genetic algorithm for bi-criteria objectives in scheduling process

89%

Raghavendra B. V., Raghavendra B. V.

|

7

Optimizing management of the condensing heat and cooling of gases compression in oxy block using of a genetic algorithm

88%

Brzęczek M., Bartela Ł.

Archives of Thermodynamics

|

2013

|

issue 4

8

Study on Mine Ventilation Resistance Coefficient Inversion Based on Genetic Algorithm

88%

Gao K., Deng L., Liu J., Wen L., Wong D., Liu Z., Gao K., Deng L., Liu J., Wen L., Wong D., Liu Z.

Archives of Mining Sciences

|

2018

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vol. 63

|

issue 4

9

Application of genetic algorithms to determine heavy metal ions sorption dynamics on clinoptilolite bed

88%

Tomczak E., Kamiński W.

Chemical and Process Engineering

|

2012

|

issue 1

10

The increase of the performance of ultrafine coal flotation by using emulsified kerosene and the prediction of the flotation parameters by random forest and genetic algorithm

88%

Oney O.

Archives of Mining Sciences

|

2019

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vol. 64

|

issue 1

11

Tuning fractional PID controllers for a Steward platform based on frequency domain and artificial intelligence methods

88%

Copot C., Zhong Y., Ionescu C., Keyser R.

Open Physics

|

2013

|

vol. 11

|

issue 6

702-713

EN

In this paper, two methods to tune a fractional-order PI λ D μ controller for a mechatronic system are presented. The first method is based on a genetic algorithm to obtain the parameter values for the fractionalorder PI λ D μ controller by global optimization. The second method used to design the fractional-order PI λ D μ controller relies on an auto-tuning approach by meeting some specifications in the frequency domain. The real-time experiments are conducted using a Steward platform which consists of a table tilted by six servo-motors with a ball on the top of the table. The considered system is a 6 degrees of freedom (d.o.f.) motion platform. The feedback on the position of the ball is obtained from images acquired by a visual sensor mounted above the platform. The fractional-order controllers were implemented and the performances of the steward platform are analyzed.

12

Multi-objective design optimization of five-phase fractional-slot concentrated-winding surface-mounted permanent-magnet machine

88%

Nekoubin A., Soltani J., Dowlatshah M., Nekoubin A., Soltani J., Dowlatshah M.

Archives of Electrical Engineering

|

2020

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vol. 69

|

issue 4

13

Multi-Objective Optimization of Squeeze Casting Process using Genetic Algorithm and Particle Swarm Optimization

88%

Patel G. C. M., Krishna P., Vundavilli P. R., Parappagoudar M. B.

|

14

An Assessment of High-Order-Mode Analysis and Shape Optimization of Expansion Chamber Mufflers

88%

Chang Y.-C., Chiu M.-C.

|

15

Identifying the crossover between growth regimesvia in-situconductance measurements in focused electron beam induced deposition

88%

Winhold M., Weirich P. M., Schwalb C. H., Huth M.

Nanofabrication

|

2014

|

vol. 1

|

issue 1

EN

Focused electron beam induced deposition presents a promising technique for the fabrication of nanostructures. However, due to the dissociation of mostly organometallic precursor molecules employed for the deposition process, prepared nanostructures contain organic residues leading to rather low conductance of the deposits. Post-growth treatment of the structures by electron irradiation or in reactive atmospheres at elevated temperatures can be applied to purify the samples. Recently, an in-situ conductance optimization process involving evolutionary genetic algorithm techniques has been introduced leading to an increase of conductance by one order of magnitude for tungsten-based deposits using the precursor W(CO)6. This method even allows for the optimization of conductance of nano-structures for which post-growth treatment is not possible or desirable. However, the mechanisms responsible for the observed enhancement have not been studied in depth. In this work, we identified the dwell-time dependent change of conductivity of the samples to be the major contributor to the change of conductance. Specifically, the chemical composition drastically changes with a variation of dwelltime resulting in an increase of the metal content by 15 at% for short dwell-times. The relative change of growth rate amounts to less than 25 % and has a negligible influence on conductance. We anticipate the in-situ genetic algorithm optimization procedure to be of high relevance for new developments regarding binary or ternary systems prepared by focused electron or ion beam induced deposition.

16

An Efficient Method of Group Delay Equalization for Digital IIR Filters

75%

Okoniewski P., Piskorowski J.

Metrology and Measurement Systems

|

2013

|

issue 3

17

GA based optimal planning of VAR sources using Fast Voltage Stability Index method

75%

Bhattacharyya B., Rani S., Vais R. I., Bharti I. P.

Archives of Electrical Engineering

|

2016

|

vol. 65

|

issue 4

18

Analysis and optimisation of an axial flux permanent magnet coreless motor based on the field model using the superposition principle and genetic algorithm

75%

Wojciechowski R. M.

Archives of Electrical Engineering

|

2016

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vol. 65

|

issue 3

19

Genetic algorithm as a tool for multi-objective optimization of permanent magnet disc motor

75%

Cvetkovski G., Petkovska L.

Archives of Electrical Engineering

|

2016

|

vol. 65

|

issue 2

20

Genetic Algorithm Embedded into a Quality-Oriented Workflow of Methods for the Development of a Linear Drive used in Intralogistic Systems

75%

Wörner L., Kulig S., Willing M., Winzer P.

Archives of Electrical Engineering

|

2014

|

vol. 63

|

issue 4

Refine search results

A novel method for non-destructive Compton scatter imaging based on the genetic algorithm

Application of genetic algorithms to determine heavy metal ions sorption dynamics on clinoptilolite bed

Coherent control for the spherical symmetric box potential in short and intensive XUV laser fields

Vibro- and sound protection in road machines by means of vibration absorbing

Modelling articulated vehicles with a flexible semi-trailer

Hybrid genetic algorithm for bi-criteria objectives in scheduling process

Optimizing management of the condensing heat and cooling of gases compression in oxy block using of a genetic algorithm

Study on Mine Ventilation Resistance Coefficient Inversion Based on Genetic Algorithm

Application of genetic algorithms to determine heavy metal ions sorption dynamics on clinoptilolite bed

The increase of the performance of ultrafine coal flotation by using emulsified kerosene and the prediction of the flotation parameters by random forest and genetic algorithm

Tuning fractional PID controllers for a Steward platform based on frequency domain and artificial intelligence methods

Multi-objective design optimization of five-phase fractional-slot concentrated-winding surface-mounted permanent-magnet machine

Multi-Objective Optimization of Squeeze Casting Process using Genetic Algorithm and Particle Swarm Optimization

An Assessment of High-Order-Mode Analysis and Shape Optimization of Expansion Chamber Mufflers

Identifying the crossover between growth regimesvia in-situconductance measurements in focused electron beam induced deposition

An Efficient Method of Group Delay Equalization for Digital IIR Filters

GA based optimal planning of VAR sources using Fast Voltage Stability Index method

Analysis and optimisation of an axial flux permanent magnet coreless motor based on the field model using the superposition principle and genetic algorithm

Genetic algorithm as a tool for multi-objective optimization of permanent magnet disc motor

Genetic Algorithm Embedded into a Quality-Oriented Workflow of Methods for the Development of a Linear Drive used in Intralogistic Systems