Temat: genetic algorithms - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Evolutionary method of robust controller computation
Techniki ewolucyjne doboru regulatorów odpornych
Autorzy:: Królikowski, T.
Nikończuk, P.
Powiązania:: https://bibliotekanauki.pl/articles/277210.pdf
Data publikacji:: 2013
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: algorytmy genetyczne
sterowanie odporne
genetic algorithms
robust control
Opis:: Matematyczne metody doboru współczynników regulatora odpornego w przestrzeniach H∞ są bardzo skomplikowane. Projektant układu regulacji musi wykazywać się znajomością technik analizy funkcjonalnej. Do rozwiązywania problemów optymalizacji tego rodzaju doskonale nadają się algorytmy ewolucyjne. W artykule przedstawiono metodę oraz wyniki symulacji podczas doboru współczynników równania regulatora odpornego. Do doboru użyte są tylko dwa kryteria: sprawdzenie stabilności i zależność geometryczna - minimalizacja największej odległości między krzywymi Nyquista operacji G(jω) i 1/F(jω), gdzie G(jω) i F(jω) są transmitancjami regulatora oraz obiektu regulacji w układzie sprzężenia zwrotnego.
Mathematical methods of robust controller coefficients selection in H∞ spaces are very complicated. A control system integrator has to know functional analysis methods. To solve this kind of problem, evolutionary algorithms can be used. The paper presents both the method and simulation results of evolutionary algorithms application for a robust controller coefficients selection. To select robust controller, only two requirements are used: stability check and geometric dependency - minimizing the maximum distance between Nyquist diagrams of operations - G(jω) and 1/F(jω). Where G(jω) and F(jω) are controller and plant transfer functions in a feedback control system.
Źródło:: Pomiary Automatyka Robotyka; 2013, 17, 1; 80-82
1427-9126
Pojawia się w:: Pomiary Automatyka Robotyka
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Comparative Study of Particle Swarm Optimization and Genetic Algorithms for Complex Mathematical Functions
Autorzy:: Valdez, F.
Melin, P.
Powiązania:: https://bibliotekanauki.pl/articles/384575.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: genetic algorithms
particle swarm optimization (PSO)
hybrid systems
optimization
Opis:: The Particle Swarm Optimization (PSO) and the Genetic Algorithms (GA) have been used successfully in solving problems of optimization with continuous and combinatorial search spaces. In this paper the results of the application of PSO and GAs for the optimization of mathematical functions are presented. These two methodologies have been implemented with the goal of making a comparison of their performance in solving complex optimization problems. This paper describes a comparison between a GA and PSO for the optimization of complex mathematical functions.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 43-51
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Evolutionary Learning of Goal-Oriented Communication Strategies in Multi-Agent Systems
Autorzy:: Althnian, A.
Agah, A.
Powiązania:: https://bibliotekanauki.pl/articles/384735.pdf
Data publikacji:: 2015
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: multi-agent system
communication strategy
evolutionary communication
genetic algorithms
Opis:: Previous studies in multi-agent systems have observed that varying the type of information that agents communicate, such as goals and beliefs, has a significant impact on the performance of the system with respect to different, usually conflicting, performance metrics, such as speed of solution, communication efficiency, and travel distance/cost. Therefore, when designing a communication strategy for a multi-agent system, it is unlikely that one strategy can perform well with respect to all of performance metrics. Yet, it is not clear in advance, which strategy will be the best with respect to each metric. With multi-agent systems being a common paradigm for building distributed systems in different domains, performance goals can vary from one application to the other according to the domain’s specifications and requirements. To address this issue, this work proposes a genetic algorithm-based approach for learning a goal- oriented communication strategy. The approach enables learning an effective communication strategy with respect to flexible, user-defined measurable performance goals. The learned strategy will determine what, when, and to whom information should be communicated during the course of task execution in order to improve the performance of the system with respect to the stated goal. Our preliminary evaluation shows that the proposed approach has promising results and the learned strategies have significant usefulness in improving the performance of the system with respect to the goals.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 3; 52-64
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Toward the best combination of optimization with fuzzy systems to obtain the best solution for the GA and PSO algorithms using parallel processing
Autorzy:: Valdez, Fevrier
Kawano, Yunkio
Melin, Patricia
Powiązania:: https://bibliotekanauki.pl/articles/384329.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: genetic algorithms
particle swarm optimization (PSO)
fuzzy logic
parallel processing
Opis:: In general, this paper focuses on finding the best configuration for PSO and GA, using the different migration blocks, as well as the different sets of the fuzzy systems rules. To achieve this goal, two optimization algorithms were configured in parallel to be able to integrate a migration block that allow us to generate diversity within the subpopulations used in each algorithm, which are: the particle swarm optimization (PSO) and the genetic algorithm (GA). Dynamic parameter adjustment was also performed with a fuzzy system for the parameters within the PSO algorithm, which are the following: cognitive, social and inertial weight parameter. In the GA case, only the crossover parameter was modified.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 1; 55-64
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Layout of functional modules and routing for preliminary design of automatic teller machines
Autorzy:: Inoue, K.
Masuyama, T.
Osaki, H.
Ito, T.
Powiązania:: https://bibliotekanauki.pl/articles/384515.pdf
Data publikacji:: 2007
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Module Layout
routing
simultaneous optimization
genetic algorithms
Design Intention
island model
Opis:: In this study we address the preliminary design for the module layout and bill conveyance routes of automatic teller machines (ATMs). We determine a two-dimensional layout for the modules as below that are approximately rectangular if the ATM is viewed from the side. ATMs require the compact placement of modules within the chassis and conveyance routes that smoothly circulate bills. However, the intersection and overlapping of routes by which the bills are conveyed in opposite directions are not allowed. Applying the bottom-left method and route-design-oriented packing method to the layout of the modules and the direction-oriented maze routing expediting branching and interflow of routes to the bill conveyance route, the application orders are optimized simultaneously using genetic algorithms (GAs). Results show that suitable designs for the ATM including the case when modules are selected as well as placed are achievable using the above simultaneous optimization. The design intention is expressible by changing the weights associated with chassis dimensions, route lengths and the number of route bends, which compose the objective function. The proposed method is useful for efficiently advancing the preliminary design of ATMs. Finally, if island models pursuing individual targets are used along with a GA, the design becomes even more efficient.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2007, 1, 4; 30-40
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Novel genetic optimization of membership functions of fuzzy logic for speed control of a direct current motor for hardware applications in FPGAs
Autorzy:: Maldonado, Y.
Castillo, O.
Melin, P.
Powiązania:: https://bibliotekanauki.pl/articles/385131.pdf
Data publikacji:: 2010
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: genetic algorithms
fuzzy
controller
MATLAB
Simulink
Xilinx System Generator
VHDL
FPGA
Opis:: This paper proposes a novel method for genetic optimi zation of triangular and trapezoidal membership functions of fuzzy systems, for hardware applications such as the FPGA (Field Programmable Gate Array). This method con sists in taking only certain points of the membership func tions, with the purpose of giving more efficiency to the algorithm. The genetic algorithm was tested in a fuzzy con troller to regulate engine speed of a direct current (DC) motor, using the Xilinx System Generator (XSG) toolbox of Matlab, which simulate VHDL (Very High Description Lang uage) code.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 4; 53-63
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Type-1 and Type-2 Fuzzy Inference Systems as Integration Methods in Modular Neural Networks for Multimodal Biometry and its Optimization with Genetic Algorithms
Autorzy:: Hidalgo, D.
Castillo, O.
Melin, P.
Powiązania:: https://bibliotekanauki.pl/articles/384559.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: modular neural networks
type-2 fuzzy logic
pattern recognition
genetic algorithms
Opis:: We describe in this paper a comparative study between Fuzzy Inference Systems as methods of integration in modular neural networks for multimodal biometry. These methods of integration are based on techniques of type-1 fuzzy logic and type-2 fuzzy logic. Also, the fuzzy systems are optimized with simple genetic algorithms. First, we considered the use of type-1 fuzzy logic and later the approach with type-2 fuzzy logic. The fuzzy systems were developed using genetic algorithms to handle fuzzy inference systems with different membership functions, like the triangular, trapezoidal and Gaussian; since these algorithms generate the fuzzy systems automatically. Then the response integration of the modular neural network was tested with the optimized fuzzy integration systems. The comparative study of type-1 and type-2 fuzzy inference systems was made to observe the behavior of the two different integration methods for modular neural networks for multimodal biometry.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 59-73
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Intelligent Control for a Perturbed Autonomous Wheeled Mobile Robot Using Type-2 Fuzzy Logic and Genetic Algorithms
Autorzy:: Martínez, R.
Castillo, O.
Aguilar, L. T.
Powiązania:: https://bibliotekanauki.pl/articles/384492.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: mobile robot
path planning
fuzzy logic
genetic algorithms
autonomous mobile robot navigation
Opis:: We describe a tracking controller for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on Type-2 Fuzzy Logic Theory and Genetic Algorithms. Computer simulations are presented confirming the performance of the tracking controller and its application to different navigation problems.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 12-22
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Multi-strategy navigation for a mobile data acquisition platform using genetic algorithms
Autorzy:: Halal, F.
Zaremba, M. B.
Powiązania:: https://bibliotekanauki.pl/articles/950950.pdf
Data publikacji:: 2017
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: genetic algorithms
path planning
monitoring system
remote sensing
navigation control
heuristic search
Opis:: Monitoring of biological and chemical pollutants in large bodies of water requires the acquisition of a large number of in-situ measurements by a mobile sensor platform. Critical to this problem is an efficient path planning method, easily adaptable to different control strategies that ensure the collection of data of the greatest value. This paper proposes a deliberative path planning algorithm, which features the use of waypoints for a ship navigation trajectory that are generated by Genetic Algorithm (GA) based procedures. The global search abilities of Genetic Algorithms are combined with the heuristic local search in order to implement a navigation behaviour suitable to the required data collection strategy. The adaptive search system operates on multi-layer maps generated from remote sensing data, and provides the capacity for dealing with multiple classes of water pollutants. A suitable objective function was proposed to handle different sampling strategies for the collection of samples from multiple water pollutant classes. A region-of-interest (ROI) component was introduced to deal effectively with the large scale of search environments by pushing the search towards ROI zones. This resulted in the reduction of the search time and the computing cost, as well as good convergence to an optimal solution. The global path planning performance was further improved by multipoint crossover operators running in each GA generation. The system was developed and tested for inland water monitoring and trajectory planning of a mobile sample acquisition platform using commercially available satellite data.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2017, 11, 1; 30-41
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Model sieci wodociągowej oraz estymacja jego parametrów z wykorzystaniem algorytmów genetycznych
Water supply network model and its parameters estimation using genetic algorithms
Autorzy:: Stanisławski, W.
Zmarzły, M.
Powiązania:: https://bibliotekanauki.pl/articles/275005.pdf
Data publikacji:: 2010
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: modelowanie
EPANET
algorytmy genetyczne
sieć wodociągowa
modeling
genetic algorithms
waterworks
water supply network
Opis:: Artykuł przedstawia proces tworzenia modelu sieci wodociągowej ze szczególnym uwzględnieniem etapu kalibracji. Kalibrację wykonano z użyciem algorytmów genetycznych. Dane kalibracyjne uzyskano z systemu pomiarowego zainstalowanego na rzeczywistym obiekcie wodociągowym.
The article presents the process of creating a water supply network model with emphasis on the calibration phase. Calibration was performed using genetic algorithms. The calibration data were obtained from the measurement system installed on real waterworks.
Źródło:: Pomiary Automatyka Robotyka; 2010, 14, 12; 61-64
1427-9126
Pojawia się w:: Pomiary Automatyka Robotyka
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Intelligent PI controller and its application to dissolved oxygen tracking problem
Autorzy:: Zubowicz, T.
Brdys, M. A.
Piotrowski, R.
Powiązania:: https://bibliotekanauki.pl/articles/384365.pdf
Data publikacji:: 2010
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: aeration process
artificial intelligence
control systems
dissolved oxygen
tracking problem
fuzzy logic controller
genetic algorithms
intelligent control
Takagi Sugeno Kang method
TSK
soft switching
wastewater treatment
Opis:: The paper addresses design, calibration, implementation and simulation of the intelligent PI controller used for dissolved oxygen (DO) tracking at wastewater treatment plant (WWTP). The calibration process presented in this paper utilizes both engineering and scientific methods. Verification of the control system design method was obtained via simulation experiments.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 3; 16-24
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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