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Wyszukujesz frazę "genetic optimization algorithm" wg kryterium: Temat


Wyświetlanie 1-5 z 5
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:
Passive loop coordinates optimization for mitigation of magnetic field value in the proximity of a power line
Autorzy:
Książkiewicz, M.
Powiązania:
https://bibliotekanauki.pl/articles/97704.pdf
Data publikacji:
2015
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
power line
magnetic field
optimization
genetic algorithm
Opis:
The paper relates to the distribution of the magnetic field generated by the overhead power line, and it’s reduction in the area of interest using a conductive loop placed in the space near the line. The paper presents results obtained from an original program written in C ++, which implements the procedure for calculating the magnetic field generated by overhead line and a genetic algorithm used to optimize the location and loop compensation factor. Examples of the program are presented for horizontal single-track line and three different shielding loop configurations. The first relates to a single loop (4 to 5 parameters to optimize - 4 position coordinates (y, z) and the compensation factor), the second case involves two loops with one common conductor (6 to 8 parameters - 6 coordinates (y, z) and 0 to 2 compensation factors), the third case concerns two independent loops (8 to 10 parameters - 8 coordinates (y, z) and 0 to 2 of the compensation factors). In addition similar calculations are performed for single-track line with two earth wires.
Źródło:
Computer Applications in Electrical Engineering; 2015, 13; 77-87
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Two stage optimization of the PMSM with excitation system composed of different materials
Autorzy:
Knypiński, Ł.
Nowak, L.
Powiązania:
https://bibliotekanauki.pl/articles/97722.pdf
Data publikacji:
2013
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
electric machines
permanent magnet synchronous motor
optimization
genetic algorithm
Opis:
The paper presents the algorithm and software for the optimization of the rotor structure of the permanent magnet synchronous motor with magnet composed of two materials about different magnetic properties. The software consists of two modules: a numerical model of the PMSM motor and an optimization solver. Numerical implementation is based on finite element method. The optimization module has been elaborated employing the Delphi environment. For the rotor structure optimization the genetic algorithm has been applied Selected results of the calculation are presented and discussed.
Źródło:
Computer Applications in Electrical Engineering; 2013, 11; 148-158
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A hybrid ant colony for multiresponse mixed-integer problems
Autorzy:
Kushwaha, S.
Mukherjee, I.
Powiązania:
https://bibliotekanauki.pl/articles/409419.pdf
Data publikacji:
2012
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
ant colony optimization(ACO)
desirability functions
genetic algorithm (GA)
multiple response optimization(MRO)
Opis:
In this paper, a hybrid ant colony optimization (ACO) is used to solve a multiple response optimization problem with mixed-integer (MI) search space. The work reported in this paper may be clasified into three part. The first part discusses on relevant litratures and the methodology to solve multiple response optimization problem. The second part provide details on the working principal, parameter tuning of a hybrid ACO proposed for mixed integer state space. In the hybrid ACO, genetic algorithm (GA) is used for intensification of the search strategy. Standard single response (objective) test functions are selected to verify the suitability of hybrid ACO. The third part of this research work illustrates the application of the hybrid ACO in a multiple response optimization (MRO) problem. Statistical experimentation, partial least square regression, 'maximin' desirability function, and hybrid ACO is used to solve the MRO problem. The results confirm the suitability of the hybid ACO for a typical MI MRO problem.
Źródło:
Research in Logistics & Production; 2012, 2, 4; 317-327
2083-4942
2083-4950
Pojawia się w:
Research in Logistics & Production
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-Criteria 3-Dimension Bin Packing Problem
Autorzy:
Kacprzak, Ł.
Rudy, J.
Żelazny, D.
Powiązania:
https://bibliotekanauki.pl/articles/409522.pdf
Data publikacji:
2015
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
bin packing problem
multi-criteria
genetic algorithm
simulated annealing
discrete optimization
Pareto efficiency
Opis:
In this paper a multi-criteria approach to the 3-dimensions bin packing problem is considered. The chosen maximization criteria are the number and the total volume of the boxes loaded into the container. Existing solution representation and decoding method are applied to the problem. Next, two metaheuristic algorithms, namely simulated annealing and genetic algorithm are developed using the TOPSIS method for solution evaluation. Both algorithms are then used to obtain approximations of the Pareto front for a set of benchmarks from the literature. Despite the fact that both criteria work in favor of each other, we managed to obtain multiple solutions in many cases, proving that lesser number of boxes can lead to better utilization of the container volume and vice versa. We also observed, that the genetic algorithms performs slightly better in our test both in the terms of hyper-volume indicator and number of non-dominated solutions.
Źródło:
Research in Logistics & Production; 2015, 5, 1; 85-94
2083-4942
2083-4950
Pojawia się w:
Research in Logistics & Production
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

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