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Wyświetlanie 1-15 z 375
Tytuł:
Some Aspects of the Application of Genetic Algorithm for Solving the Assignment Problem of Tasks to Resources in a Transport Company
Autorzy:
Izdebski, Mariusz
Jacyna, Marianna
Powiązania:
https://bibliotekanauki.pl/articles/504281.pdf
Data publikacji:
2014
Wydawca:
Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Tematy:
assignment problem
genetic algorithm
optimization
Opis:
The article defines the assignment problem of tasks to resources in a transport company. The paper describes mathematical model of a transport system taking into account the assignment of vehicles to the tasks. It also provides stages of creation of the genetic algorithm for solving the assignment problem in the transport company.
Źródło:
Logistics and Transport; 2014, 21, 1; 13-20
1734-2015
Pojawia się w:
Logistics and Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Genetic algorithm as optimizing tool in line balancing process
Autorzy:
Hnat, J.
Gregor, M.
Powiązania:
https://bibliotekanauki.pl/articles/117771.pdf
Data publikacji:
2007
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
balancing
assembly line
genetic algorithm
Opis:
This article deals with assembly line balancing problem and with possibility of using genetic algorithm as an optimizing tool in balancing process. There is briefly described line balancing problem and the main goals of balancing. Also it is shown here how genetic algorithm work and what are the advantages of this tool.
Źródło:
Applied Computer Science; 2007, 3, 2; 18-33
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Computer simulation of the genetic controller for the EB flue gas treatment process
Autorzy:
Moroz, Z.
Boużyk, J.
Sowiński, M.
Chmielewski, A.
Powiązania:
https://bibliotekanauki.pl/articles/147569.pdf
Data publikacji:
2001
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
genetic algorithm controller
flue gas
Opis:
The use of the computer genetic algorithm (GA) for driving a controller device for the industrial flue gas purification systems employing the electron beam irradiation, has been studied. As the mathematical model of the installation the properly trained artificial neural net (ANN) was used. Various cost functions and optimising strategies of the genetic code were tested. These computer simulations proved, that ANN + GA controller can be sufficiently precise and fast to be applied in real installations.
Źródło:
Nukleonika; 2001, 46, 3; 107-115
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of the pulse transformer using circuit-field model
Autorzy:
Łyskawiński, W.
Knypiński, Ł.
Nowak, L.
Jędryczka, C.
Powiązania:
https://bibliotekanauki.pl/articles/1395761.pdf
Data publikacji:
2013
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
pulse transformer
optimization
genetic algorithm
Opis:
The paper presents the new strategy of the optimization of pulse transformer (PT). In order to reduce calculation time the optimization problem has been decomposed into two stages. In the first stage, to determine functional parameters of PT the circuit model is used. The goal of circuit calculations is to limit the space of design variables that meets formulated requirements. The genetic algorithm has been applied for this task. In order to include constraints, the penalty function has been engaged. The transformer dimensions obtained in the first stage of calculations are used as initial values in the second stage of design process. In the second stage the field model of PT is employed. Obtained results prove that presented approach allows for fast optimization of the PT design.
Źródło:
Computer Applications in Electrical Engineering; 2013, 11; 159-167
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-variable optimization of an ytterbium-doped fiber laser using genetic algorithm
Autorzy:
Hashemi, S. S.
Ghavami, S. S.
Khorsandi, A
Powiązania:
https://bibliotekanauki.pl/articles/175086.pdf
Data publikacji:
2015
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
fiber laser
optimization
genetic algorithm
Opis:
We introduce the genetic algorithm for the optimization of an Yb3+-doped double-clad fiber laser based on a multi-variable scheme. The output characteristic of the laser is numerically simulated using real practical values. This is performed through solving the associated steady-state rate equation and investigating the effects of input variables such as pump and signal wavelengths and length of the fiber on the laser output. It is found that pumping of the medium around 975 nm is conducted to attain the maximum output power of ~34.8 W, while the stability of the outcoupled power is significantly improved when pumping at 920 nm, confirming good agreement with the reported experimental results. We have also found that by using genetic algorithm base multi-variable optimization, the output power can be significantly increased by about three orders of magnitude and reaches to ~28.5 W with optimum and shorter fiber length of ~57.5 m. Obtained results show that based on the genetic algorithm multi-variable discipline, fiber characteristics can be optimized according to the gaining of maximum output power.
Źródło:
Optica Applicata; 2015, 45, 3; 355-367
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On Some Aspects of Genetic and Evolutionary Methods for Optimization Purposes
Autorzy:
Woźniak, M.
Połap, D.
Powiązania:
https://bibliotekanauki.pl/articles/227353.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
computational intelligence
genetic algorithm
heuristic algorithm
optimization
Opis:
In this paper, the idea of applying some hybrid genetic algorithms with gradient local search and evolutionary optimization techniques is formulated. For two different test functions the proposed versions of the algorithms have been examined. Research results are presented and discussed to show potential efficiency in optimization purposes.
Źródło:
International Journal of Electronics and Telecommunications; 2015, 61, 1; 7-16
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Learning from heterogeneously distributed data sets using artificial neural networks and genetic algorithms
Autorzy:
Peteiro-Barral, D.
Guijarro-Berdiñas, B.
Pérez-Sánchez, B.
Powiązania:
https://bibliotekanauki.pl/articles/91888.pdf
Data publikacji:
2012
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
artificial neural networks
genetic algorithm
Devonet algorithm
Opis:
It is a fact that traditional algorithms cannot look at a very large data set and plausibly find a good solution with reasonable requirements of computation (memory, time and communications). In this situation, distributed learning seems to be a promising line of research. It represents a natural manner for scaling up algorithms inasmuch as an increase of the amount of data can be compensated by an increase of the number of distributed locations in which the data is processed. Our contribution in this field is the algorithm Devonet, based on neural networks and genetic algorithms. It achieves fairly good performance but several limitations were reported in connection with its degradation in accuracy when working with heterogeneous data, i.e. the distribution of data is different among the locations. In this paper, we take into account this heterogeneity in order to propose several improvements of the algorithm, based on distributing the computation of the genetic algorithm. Results show a significative improvement of the performance of Devonet in terms of accuracy.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2012, 2, 1; 5-20
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Genetic-based approach to the functional-modular structure design of packaging machines
Autorzy:
Varanitskyi, T
Palchevskyi, B
Powiązania:
https://bibliotekanauki.pl/articles/117989.pdf
Data publikacji:
2013
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
packaging
machine
design
genetic algorithm
structure
Opis:
The paper presents a method for decomposition of packaging machine structure in order to provide the designer with choices for feasible assemblies. The aim is at providing a systematic approach to explore a large number of decompositions prior to the detailed component design phase. The structure is transformed to a graph with equivalent topology by a genetic algorithm.
Źródło:
Applied Computer Science; 2013, 9, 1; 54-68
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Application of genetic algorithms for the selection of WSE companies in Warsaw for the investment portfolio
Autorzy:
Basiura, Beata
Motyczyńska, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/1818470.pdf
Data publikacji:
2020
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
Markowitz model
investment portfolio
genetic algorithm
Opis:
Portfolio analysis is a tool particularly intended for investors. Risk assessment and risk specification make the investor able to properly diversify and offset the portfolio. Broadly speaking, there are multiple tools destined for building up an efficient set of portfolios. One of them is Markowitz’s model theory postulating building up a portfolio determined on the basis of equilibrium between expected profit level as well as accepted level of risk assessment. In the context of this paper, the objective is to shed some light on creating investment portfolios based on either Markowitz's portfolio theory or evolutionary algorithm. The simulation based methods for building up a portfolio of approximately 40-50 companies listed out in the primary marketof the Warsaw Stock Exchange using the selection function proposed in the BA thesis were presented. Portfolio profit values have been evaluated in a dynamically shifted time window. The conducted analysis showed shifts in the economy at certain periods of time. The implemented genetic algorithms smoothly handled the optimization with a relatively short processing time of the task result.
Źródło:
Decision Making in Manufacturing and Services; 2020, 14, 1; 91--126
1896-8325
2300-7087
Pojawia się w:
Decision Making in Manufacturing and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An evolutionary algorithm determining a defuzzyfication functional
Autorzy:
Kosiński, W.
Markowska-Kaczmar, U.
Powiązania:
https://bibliotekanauki.pl/articles/1943273.pdf
Data publikacji:
2007
Wydawca:
Politechnika Gdańska
Tematy:
ordered fuzzy numbers
defuzzyfication
genetic algorithm
Opis:
Order fuzzy numbers are defined that make it possible to deal with fuzzy inputs quantitatively, exactly in the same way as with real numbers, together with four algebraic operations. An approximation formula is given for a defuzzyfication functional that plays the main role when dealing with fuzzy controllers and fuzzy inference systems. A dedicated evolutionary algorithm is presented in order to determine the form of a functional when a training set is given. The form of a genotype composed of three types of chromosomes and the fitness function are given and Genetic operators are proposed.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2007, 11, 1-2; 47-58
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of fractal compression of 3d images using a genetic algorithm
Autorzy:
Khanmirza, Z
Ramezani, F
Motameni, H
Powiązania:
https://bibliotekanauki.pl/articles/102068.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
stereo system
fractal compression
genetic algorithm
Opis:
3D image technologies are widely recognized as the next generation of visual presentation considering the achievement of more natural experiences. To produce such images, two cameras are placed in a bit different position. When we seek to compress such images, we need a procedure to compress two images synchronously. In this paper, a procedure is presented for a suitable compression based on fractal compression which shows that we obtain high compression rate with an appropriate image quality; however, since the proposed procedure has a low search speed, we used genetic algorithm to remove the case.
Źródło:
Advances in Science and Technology. Research Journal; 2015, 9, 26; 124-128
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Solving the problem of vehicle routing by evolutionary algorithm
Autorzy:
Iwańkowicz, R. R.
Sekulski, Z.
Powiązania:
https://bibliotekanauki.pl/articles/102797.pdf
Data publikacji:
2016
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
vehicle routing
travelling salesman
genetic algorithm
Opis:
In the presented work the vehicle routing problem is formulated, which concerns planning the collection of wastes by one garbage truck from a certain number of collection points. The garbage truck begins its route in the base point, collects the load in subsequent collection points, then drives the wastes to the disposal site (landfill or sorting plant) and returns to the another visited collection points. The filled garbage truck each time goes to the disposal site. It returns to the base after driving wastes from all collection points. Optimization model is based on genetic algorithm where individual is the whole garbage collection plan. Permutation is proposed as the code of the individual.
Źródło:
Advances in Science and Technology. Research Journal; 2016, 10, 29; 97-108
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of simulation and genetic algorithm with different genetic operators to optimize manufacturing system
Autorzy:
Wiśniewski, T.
Rymaszewski, S.
Powiązania:
https://bibliotekanauki.pl/articles/118181.pdf
Data publikacji:
2013
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
genetic algorithm
simulation modeling
manufacturing system
Opis:
The article depicts an evolutionary approach to simulation based optimization of a typical manufacturing system. Genetic algorithm with four different variants of genetic operators (crossover operator and type of selection) is compared to find the best optimization method. A comprehensive discussion of the genetic algorithm results obtained from the simulation model was also presented.
Źródło:
Applied Computer Science; 2013, 9, 1; 34-45
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of dental implant using genetic algorithm
Optymalizacja wszczepu stomatologicznego z wykorzystaniem algorytmu genetycznego
Autorzy:
Łodygowski, T.
Szajek, K.
Wierszycki, M.
Powiązania:
https://bibliotekanauki.pl/articles/279418.pdf
Data publikacji:
2009
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
design optimization
genetic algorithm
dental implant
Opis:
The subject of the present work is optimization of the modern implant system Osteoplant, which was created and is still developed by Foundation of University of Medical Sciences in Poznań. Clinical observations point to the occurrence of both early and late complications in the case of all two-component implant systems. In many cases, these problems are caused by mechanical fractures of the implants themselves. The obtained results of the previous studies focused on necessary changes of the implant mechanical behavior, which helped to achieve the required long-term strength. However, modifications of the present dental implant system are not obvious. In this paper, an optimization of the Osteoplant dental implant system, with the use of FEA and genetic algorithms is discussed.
Przedmiotem prezentowanej pracy jest problem optymalizacji systemu implantologicznego Osteoplant, który został opracowany i wciąż jest ulepszany przez Fundację Uniwersytetu Medycznego w Poznaniu. Obserwacje kliniczne potwierdzają występowanie powikłań zarówno we wczesnej, jak i późnej fazie użytkowania implantu. Dotychczas otrzymane wyniki wskazują, że wydłużenie bezawaryjnego okresu użytkowania implantu wymaga wprowadzenia zmian w jego pracy mechanicznej. Jednakże, ustalenie szczegłów modyfikacji nie jest oczywiste. W artykule została opisana procedura optymalizacji systemu implantologicznego Osteoplant z użyciem analizy metodą elementów skończonych oraz algorytmu genetycznego.
Źródło:
Journal of Theoretical and Applied Mechanics; 2009, 47, 3; 573-598
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automated Tablet Quality Assurance and Identification for Hospital Pharmacies
Autorzy:
Chaczko, Z.
Kale, A.
Powiązania:
https://bibliotekanauki.pl/articles/226463.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
hospital pharmacy
content error
genetic algorithm
Opis:
The tablet quality checking and identification in hospital pharmacies is done manually and does not use any automated solution. Manual sorting and handling makes this activity laborious and error-prone. This paper describes a low cost solution that is characterised by a small size of the infrastructure involved. Discussed are design and implementation details of Tablet Inspection System based on Machine Vision. The described process uses a dedicated sequence of operation to perform dispensing, scanning and sorting using mini factory setup. Machine Vision System uses a novel Genetic Evolution algorithm. The algorithm provides robust and scalable output. Due to its versatile nature and easy shape recognition ability the approach can be easily adapted to a large variety of medical tablets. The proposed solution attempts to follow the concept of single objective with multiple optima in GA that is designed to scan multiple number of tablets in one cycle of operation.
Źródło:
International Journal of Electronics and Telecommunications; 2011, 57, 2; 153-158
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 375

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