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    Tytuł:
    Firefly algorithm in optimization of queueing systems
    Autorzy:
    Kwiecień, J.
    Filipowicz, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/201299.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    queueing systems
    firefly algorithm
    Opis:
    Queueing theory provides methods for analysis of complex service systems in computer systems, communications, transportation networks and manufacturing. It incorporates Markovian systems with exponential service times and a Poisson arrival process. Two queueing systems with losses are also briefly characterized. The article describes firefly algorithm, which is successfully used for optimization of these queueing systems. The results of experiments performed for selected queueing systems have been also presented.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 2; 363-368
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural network-based allocation and self-improved firefly-based optimal sizing of fuel cells in distributed generation systems
    Autorzy:
    Subramanyam, T. C.
    Tulasi Ram, S. S.
    Subrahmanyam, J. B. V.
    Powiązania:
    https://bibliotekanauki.pl/articles/1839111.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    DG system
    fuel cells
    location
    sizing
    multiple objectives
    firefly algorithm
    self-improved firefly algorithm
    Opis:
    The notion of Distributed Generation (DG) refers to the production of power at the level of consumption. Production of energy on-site, instead of offering it centrally, reduces the cost, internal dependencies, difficulties, inefficiencies, and risks that are related to transmission and distribution systems. In case DG is realized with fuel cells, several issues exist in respect to allocating and sizing of these fuel cells in the system. For solving those issues, dual stage intelligent technique is employed in this paper. First, the Neural Networks (NN) technique is adopted for determining the required location to place the fuel cells. Secondly, an enhanced version of Self Improved Fire-Fly (SIFF) algorithm is adopted for finding the optimal size of the fuel cells. The implemented technique is simulated in four IEEE benchmark test bus systems, and the respective performance analysis along with statistical analysis serves for validation purposes. The here proposed technique is compared with six other known algorithms, namely Particle Swarm Optimization (PSO), Firefly (FF) algorithm, Artificial Bee colony (ABC) algorithm, Improved Artificial Bee colony algorithm (IABC), Genetic Algorithm (GA) and Global Search Optimizer (GSO). The results obtained from the comparative analysis show the enhanced performance of the proposed mechanism.
    Źródło:
    Control and Cybernetics; 2018, 47, 4; 357-381
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Firefly algorithm applied to the job-shop scheduling problem
    Autorzy:
    Świtalski, Piotr
    Bolesta, Arkadiusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2052416.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    scheduling
    job shop
    firefly algorithm
    aitoa library
    Opis:
    The job shop scheduling problem (JSSP) is one of the most researched scheduling problems. This problem belongs to the NP-hard class. An optimal solution for this category of problems is rarely possible. We try to find suboptimal solutions using heuristics or metaheuristics. The firefly algorithm is a great example of a metaheuristic. In this paper, this algorithm is used to solve JSSP. We used some benchmarking JSSP datasets for experiments. The experimental program was implemented in the aitoa library. We investigated the optimal parameter settings of this algorithm in terms of JSSP. Analysis of the experimental results shows that the algorithm is useful to solve scheduling problems.
    Źródło:
    Studia Informatica : systems and information technology; 2021, 1-2(25); 87-100
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    SVC placement for voltage constrained loss minimization using self-adaptive Firefly algorithm
    Autorzy:
    Selvarasu, R.
    Kalavathi, M. S.
    Rajan, C. Ch. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/140931.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Firefly algorithm
    loss minimization
    SVC
    voltage profile
    Opis:
    Static Var Compensator (SVC) is a popular FACTS device for providing reactive power support in power systems and its placement representing the location and size has significant influence on network loss, while keeping the voltage magnitudes within the acceptable range. This paper presents a Firefly algorithm based optimization strategy for placement of SVC in power systems with a view of minimizing the transmission loss besides keeping the voltage magnitude within the acceptable range. The method uses a self-adaptive scheme for tuning the parameters in the Firefly algorithm. The strategy is tested on three IEEE test systems and their results are presented to demonstrate its effectiveness.
    Źródło:
    Archives of Electrical Engineering; 2013, 62, 4; 649-661
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A comprehensive study on the application of firefly algorithm in prediction of energy dissipation on block ramps
    Autorzy:
    Mahdavi-Meymand, Amin
    Sulisz, Wojciech
    Zounemat-Kermani, Mohammad
    Powiązania:
    https://bibliotekanauki.pl/articles/2087026.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    firefly algorithm
    machine learning
    energy dissipation
    block ramp
    Opis:
    In this study novel integrative machine learning models embedded with the firefly algorithm (FA) were developed and employed to predict energy dissipation on block ramps. The used models include multi-layer perceptron neural network (MLPNN), adaptive neuro-fuzzy inference system (ANFIS), group method of data handling (GMDH), support vector regression (SVR), linear equation (LE), and nonlinear regression equation (NE). The investigation focused on the evaluation of the performance of standard and integrative models in different runs. The performances of machine learning models and the nonlinear equation are higher than the linear equation. The results also show that FA increases the performance of all applied models. Moreover, the results indicate that the ANFIS-FA is the most stable integrative model in comparison to the other embedded methods and reveal that GMDH and SVR are the most stable technique among all applied models. The results also show that the accuracy of the LE-FA technique is relatively low, RMSE=0.091. The most accurate results provide SVR-FA, RMSE=0.034.
    Źródło:
    Eksploatacja i Niezawodność; 2022, 24, 2; 200--210
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multilevel inverter with optimal THD through the firefly algorithm
    Autorzy:
    El Mehdi Belkacem, R.
    Benzid, R.
    Bouguechal, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/141495.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    firefly algorithm (FFA)
    genetic algorithm (GA)
    inverter
    multilevel
    optimized THD
    Opis:
    Reduction of the Total Harmonic Distortion (THD) in multilevel inverters requires resolution of complex nonlinear transcendental equations; in this paper we propose a combination of one of the best existing optimized hardware structures with the recent firefly algorithm, which was used to optimize the THD, through finding the best switching angles and guaranteeing the minimization of harmonics within a user defined bandwidth. The obtained THD through the simulation of the thirteen-level symmetric inverter has been reduced down to 5% (FFT of 60 harmonics). In order to validate the simulation results, a thirteen-level symmetric inverter prototype has been made, and practically experimented and tested with different loads. Consequently, the measured THD with resistive load was 4.7% on a bandwidth of 3 kHz. The main advantage of the achieved work is the reduction of the THD.
    Źródło:
    Archives of Electrical Engineering; 2017, 66, 1; 141-154
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Finding Playing Styles of Badminton Players Using Firefly Algorithm Based Clustering Algorithms
    Autorzy:
    Ilankoon, I.M.T.P.K.
    Samarasinghe, U.S.
    Ariyaratne, M.K.A.
    Silva, R. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/27312858.pdf
    Data publikacji:
    2023
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    firefly algorithm
    clustering
    intra- and inter-cluster distance
    badminton
    Opis:
    Cluster analysis can be defined as applying clustering algorithms with the goalof finding any hidden patterns or groupings in a data set. Different clusteringmethods may provide different solutions for the same data set. Traditionalclustering algorithms are popular, but handling big data sets is beyond theabilities of such methods. We propose three big data clustering methods basedon the firefly algorithm (FA). Three different fitness functions were definedon FA using inter-cluster distance, intra-cluster distance, silhouette value, andthe Calinski-Harabasz index. The algorithms find the most appropriate clustercenters for a given data set. The algorithms were tested with nine popularsynthetic data sets and one medical data set and are later applied on two bad-minton data sets with the intention of identifying the different playing stylesof players based on their physical characteristics. The results specify that thefirefly algorithm could generate better clustering results with high accuracy.The algorithms cluster the players to find the most suitable playing strategyfor a given player where expert knowledge is needed in labeling the clusters.Comparisons with a PSO-based clustering algorithm (APSO) and traditional al-gorithms point out that the proposed firefly variants work in a similar fashion asthe APSO method, and they surpass the performance of traditional algorithms.
    Źródło:
    Computer Science; 2023, 24 (3); 427--450
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Firefly algorithm optimization of manipulator robotic control based on fast terminal sliding mode
    Autorzy:
    Mallem, Ali
    Douak, Fouzi
    Benaziza, Walid
    Bounouara, Asma
    Powiązania:
    https://bibliotekanauki.pl/articles/27314236.pdf
    Data publikacji:
    2022
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    manipulator robotic
    fast terminal sliding mode
    firefly algorithm
    Lyapunov stability
    Opis:
    In this paper a new algorithm of optimization in the field of manipulator robotic control is presented. The proposed control approach is based on fast terminal sliding mode control (FTSMC), in order to guarantee the convergence of the position articulations errors to zero in finite time without chattering phenomena, and the Firefly algorithm in order to generate the optimal parameters that ensure minimum reaching time and mean square error and achieve better performances. This ensures the asymptotic stability of the system using a Lyapunov candidate in the presence of disturbances. The simulations are applied on a two-link robotic manipulator with different tracking references by using Matlab/ Simulink. Results show the efficiency and confirm the robustness of the proposed control strategy.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 4; 44--52
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A sampling method based on improved firefly algorithm for profile measurement of aviation engine blade
    Autorzy:
    Huang, Zhi
    Zhao, Liao
    Li, Kai
    Wang, Hongyan
    Zhou, Tao
    Powiązania:
    https://bibliotekanauki.pl/articles/221479.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    aviation engine blade
    coordinate measurement machine
    profile measurement
    improved firefly algorithm
    Opis:
    Coordinate Measurement Machines (CMMs) have been extensively used in inspecting mechanical parts with higher accuracy. In order to enhance the efficiency and precision of the measurement of aviation engine blades, a sampling method of profile measurement of aviation engine blade based on the firefly algorithm is researched. Then, by comparing with the equal arc-length sampling algorithm (EAS) and the equi-parametric sampling algorithm (EPS) in one simulation, the proposed sampling algorithm shows its better sampling quality than the other two algorithms. Finally, the effectiveness of the algorithm is verified by an experimental example of blade profile. Both simulated and experimental results show that the method proposed in this paper can ensure the measurement accuracy by measuring a smaller number of points.
    Źródło:
    Metrology and Measurement Systems; 2019, 26, 4; 757-771
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of RRAP reliability optimization as a test of nature-inspired algorithms
    Autorzy:
    Pieprzycki, Adam
    Filipowicz, Bogusław
    Powiązania:
    https://bibliotekanauki.pl/articles/35533466.pdf
    Data publikacji:
    2024-02-15
    Wydawca:
    Akademia Tarnowska
    Tematy:
    reliability optimization
    RRAP
    Firefly Algorithm (FA)
    Cuckoo Search (CS)
    ANOVA
    Lévy flight
    Opis:
    This paper presents a discussion on the application of two swarm intelligence algorithms, Cuckoo Search (CS) and Firey Algorithm (FA), to maximize the reliability of two complex systems with resource constraints, which have been well-known in the literature. The reliability of the systems is also evaluated using several classical methods. The results indicate that although the CS algorithm, which utilizes Lévy flight, is eective, the FA rey algorithm outperformed it in the presented optimization tasks, within the given parameter range. These ndings contribute to the ongoing discussion on using nature-inspired algorithms for solving Reliability Redundancy Allocation Problem (RRAP) problems, and the two test scenarios used in the study can be useful for validating other algorithms in RRAP problems. The paper introduces metrics and methods for analyzing and comparing the performance of algorithms in RRAP optimization, including the comparison of criterion function values and other parameters introduced in the paper. Additionally, the paper discusses statistical analyses of variance (ANOVA) with post-hoc RIR Tuckey tests.
    Źródło:
    Science, Technology and Innovation; 2023, 18, 3-4; 1-14
    2544-9125
    Pojawia się w:
    Science, Technology and Innovation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Investigations on the effects of nitrogen gas in CNC machining of SS304 using Taguchi and Firefly Algorithm
    Autorzy:
    Prasanth, P.
    Sekar, T.
    Sivapragash, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/2090705.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    SS304 alloy
    turning
    Taguchi method
    optimization
    Firefly Algorithm
    stop SS304
    skręt
    metoda Taguchi
    optymalizacja
    algorytm Firefly
    Opis:
    This work attempts to use nitrogen gas as a shielding gas at the cutting zone, as well as for cooling purposes while machining stainless steel 304 (SS304) grade by Computer Numerical Control (CNC) lathe. The major influencing parameters of speed, feed and depth of cut were selected for experimentation with three levels each. Totally 27 experiments were conducted for dry cutting and N2 gaseous conditions. The major influencing parameters are optimized using Taguchi and Firefly Algorithm (FA). The improvement in obtaining better surface roughness and Material Removal Rate (MRR) is significant and the confirmation results revealed that the deviation of the experimental results from the empirical model is found to be within 5%. A significant improvement of reduction of the specific cutting energy by 2.57% on average was achieved due to the reduction of friction at the cutting zone by nitrogen gas in CNC turning of SS 304 alloy.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; e136211, 1--8
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Investigations on the effects of nitrogen gas in CNC machining of SS304 using Taguchi and Firefly Algorithm
    Autorzy:
    Prasanth, P.
    Sekar, T.
    Sivapragash, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/2173582.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    SS304 alloy
    turning
    Taguchi method
    optimization
    Firefly Algorithm
    stop SS304
    skręt
    metoda Taguchi
    optymalizacja
    algorytm Firefly
    Opis:
    This work attempts to use nitrogen gas as a shielding gas at the cutting zone, as well as for cooling purposes while machining stainless steel 304 (SS304) grade by Computer Numerical Control (CNC) lathe. The major influencing parameters of speed, feed and depth of cut were selected for experimentation with three levels each. Totally 27 experiments were conducted for dry cutting and N2 gaseous conditions. The major influencing parameters are optimized using Taguchi and Firefly Algorithm (FA). The improvement in obtaining better surface roughness and Material Removal Rate (MRR) is significant and the confirmation results revealed that the deviation of the experimental results from the empirical model is found to be within 5%. A significant improvement of reduction of the specific cutting energy by 2.57% on average was achieved due to the reduction of friction at the cutting zone by nitrogen gas in CNC turning of SS 304 alloy.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; art. no. e136211
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of firefly and cockroach algorithms in selected discrete and combinatorial problems
    Autorzy:
    Kwiecień, J.
    Filipowicz, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/200148.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    queueing systems
    flow shop scheduling
    firefly algorithm
    cockroach algorithm
    systemy kolejkowe
    planowanie przepływów
    algorytm świetlika
    algorytm karaluch
    Opis:
    In recent years, newer algorithms inspired by nature have been created and used to solve various problems. Therefore, in the paper we present the application of firefly and cockroach algorithms to optimize two queueing systems and permutation flow shop problems with the objective of minimizing the makespan. The article briefly describes these algorithms to solve selected problems and their results. Because these algorithms were originally developed for continuous optimization problems, we introduce a new formula to transform the position of ith individual to solve the discrete problems.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2014, 62, 4; 797-804
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Synthesis and Failure Correction of Flattop and Cosecant Squared Beam Patterns in Linear Antenna Arrays
    Autorzy:
    Patidar, H.
    Mahanti, G. K.
    Muralidharan, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/308727.pdf
    Data publikacji:
    2017
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    cosecant squared pattern
    failure correction
    firefly algorithm
    flattop beam pattern
    linear array
    side lobe level
    Opis:
    This paper deals with the synthesis of flattop and cosecant squared beam patterns using the firefly algorithm which is based on metaheuristics. This synthesis is followed by the correction of the radiation patterns when unfortunate malfunctioning of the individual elements in the array occurs. The necessary attention is given to the recovery process, with due emphasis on reduction of side lobe level, ripple and the reflection coefficient. Simulation in Matlab shows a successful employment of the firefly algorithm in producing voltage excitations of the good elements necessary for the recovered patterns. The performance of the firefly algorithm in failure correction is validated by duly comparing it with a standard benchmark.
    Źródło:
    Journal of Telecommunications and Information Technology; 2017, 4; 25-30
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A parametric testing of the firefly algorithm in the determination of the optimal osmotic drying parameters of mushrooms
    Autorzy:
    Yeomans, J.S.
    Powiązania:
    https://bibliotekanauki.pl/articles/91745.pdf
    Data publikacji:
    2014
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    Firefly Algorithm
    FA
    osmotic dehydration
    mushroom
    dehydration model
    surface technique
    mathematical programming
    optimal process parameters
    Opis:
    The Firefly Algorithm (FA) is employed to determine the optimal parameter settings in a case study of the osmotic dehydration process of mushrooms. In the case, the functional form of the dehydration model is established through a response surface technique and the resulting mathematical programming is formulated as a non-linear goal programming model. For optimization purposes, a computationally efficient, FA-driven method is used and the resulting optimal process parameters are shown to be superior to those from previous approaches. The final section of this study provides a computational experimentation performed on the FA to analyze its relative sensitivity over a range of the two key parameters that most influence its running time.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2014, 4, 4; 257-256
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Algorytmy stadne w problemach optymalizacji
    Swarm Algorithms in Optimization Problems
    Autorzy:
    Filipowicz, B.
    Kwiecień, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/274567.pdf
    Data publikacji:
    2011
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    optymalizacja nieliniowa
    algorytm PSO
    algorytm pszczeli
    algorytm świetlika
    nonlinear optimization
    particle swarm optimization (PSO)
    bee algorithm
    firefly algorithm
    Opis:
    W artykule przedstawiono zastosowanie algorytmu optymalizacji rojem cząstek, algorytmu pszczelego i algorytmu świetlika do wyznaczenia optymalnego rozwiązania wybranych testowych funkcji ciągłych. Przedstawiono i porównano wyniki badań dla funkcji Rosenbrocka, Rastrigina i de Jonga.
    This paper presents particle swarm optimization, bee algorithm and firefly algorithm, used for optimal solution of selected continuous well-known functions. Results of these algorithms are compared to each other on Rosenbrock, Rastrigin and de Jong functions.
    Źródło:
    Pomiary Automatyka Robotyka; 2011, 15, 12; 152-157
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Synthesis of Reconfigurable Multiple Shaped Beams of a Concentric Circular Ring Array Antenna Using Evolutionary Algorithms
    Autorzy:
    Dubey, Sanjay Kumar
    Mandal, Debasis
    Powiązania:
    https://bibliotekanauki.pl/articles/2200965.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    cosec2 beam
    differential evolution algorithm (DE)
    firefly algorithm (FA)
    flat top beam
    genetic algorithm (GA)
    multiple shaped beam patterns
    pencil beam
    Opis:
    The approach described in this paper uses evolutionary algorithms to create multiple-beam patterns for a concentric circular ring array (CCRA) of isotropic antennas using a common set of array excitation amplitudes. The flat top, cosec2, and pencil beam patterns are examples of multiple-beam patterns. All of these designs have an upward angle of θ = 0◦. All the patterns are further created in three azimuth planes (φ = 0◦, 5◦, and 10◦). To create the necessary patterns, non-uniform excitations are used in combination with evenly spaced isotropic components. For the flat top and cosecant-squared patterns, the best combination of common components, amplitude and various phases is applied, whereas the pencil beam pattern is produced using the common amplitude only. Differential evolutionary algorithm (DE), genetic algorithm (GA), and firefly algorithm (FA) are used to generate the best 4-bit discrete magnitudes and 5-bit discrete phases. These discrete excitations aid in lowering the feed network design complexity and the dynamic range ratio (DRR). A variety of randomly selected azimuth planes are used to verify the excitations as well. With small modifications in the desired parameters, the patterns are formed using the same excitation. The results proved both the efficacy of the suggested strategy and the dominance of DE over GA as well as FA.
    Źródło:
    Journal of Telecommunications and Information Technology; 2023, 1; 8--17
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization of complex systems reliability by firefly algorithm
    Optymalizacja niezawodności złożonych systemów za pomocą algorytmu świetlika
    Autorzy:
    Kwiecień, J.
    Filipowicz, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/1365697.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    problemy optymalizacji niezawodności systemów
    metody optymalizacji niezawodności
    system RRAP
    algorytm świetlika
    system reliability optimization problems
    reliability optimization methods
    RRAP system
    firefly algorithm
    Opis:
    Algorytmy bazujące na inteligencji stadnej są coraz częściej stosowane w problemach niezawodności systemów. Artykuł prezentuje zastosowanie algorytmu świetlika do optymalizacji niezawodności dwóch systemów: mostkowego i 10-elementowego, z wykorzystaniem metod zbioru minimalnych ścieżek, minimalnych cięć oraz metody dekompozycji. Uzyskane rezultaty zostały przedstawione i porównane z dostępnymi danymi literaturowymi.
    Algorithms based on swarm intelligence are more and more frequently applied to problems of systems reliability. The article presents the application of a firefly algorithm to the reliability optimization of two systems: bridge and 10-unit, with minimal paths set, minimal cuts set and decomposition methods. The obtained results are presented and compared with the available literature data.
    Źródło:
    Eksploatacja i Niezawodność; 2017, 19, 2; 296-301
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Joint optimization of redundancy and maintenance staff allocation for multi-state series-parallel systems
    Optymalizacja łączona alokacji nadmiarowości oraz alokacji pracowników służb utrzymania ruchu w wielostanowych systemach szeregowo-równoległych
    Autorzy:
    Liu, Y.
    Huang, H. Z.
    Wang, Z.
    Li, Y. F.
    Zhang, X. L.
    Powiązania:
    https://bibliotekanauki.pl/articles/301921.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    wielostanowe systemy szeregowo równoległe
    zagadnienie alokacji nadmiarowości (RAP)
    alokacja pracowników służb utrzymania ruchu
    teoria kolejek
    uniwersalna funkcja generacyjna (UFG)
    algorytm świetlika (FA)
    multi-state series-parallel systems
    redundancy allocation problem (RAP)
    maintenance staff allocation
    queue theory
    universal generation function (UGF)
    firefly algorithm (FA)
    Opis:
    Multi-state system (MSS), as a kind of complex system consisting of elements with different performance levels, widely exists in engineering practices. In this paper, redundancy and maintenance staff allocation problems for repairable MSS with series-parallel configuration are considered simultaneously. The traditional redundancy allocation problem (RAP) for MSS always assumes that maintenance resources are unlimited. However in many practical situations, maintenance resources are limited due to the budget and/or time. To maximize the system availability under a certain demand, there are two feasible ways: (1) designing an optimal system configuration with available elements, and (2) allocating more maintenance staffs to reduce waiting time for repair. With the assistance of Markov queue model, the availabilities of identical version elements with the pre-assigned number of maintenance staffs can be evaluated. The universal generation function (UGF) is employed to assess the availability of entire MSS under a certain demand. Two optimization formulas considering the limited maintenance resources are proposed. One regards the limitation of maintenance resources as a constraint, and the other considers minimizing the total system cost including both the system elements and maintenance staff fees. The system redundancy and staffs allocation strategies are jointly optimized under required availability. A numerical case is presented to illustrate the efficiency of the proposed models. The Firefly Algorithm (FA), which is a recently developed metaheuristic optimization algorithm, is employed to seek the global optimal strategy.
    Systemy wielostanowe (multi-state systems, MSS), stanowiące typ złożonych systemów zbudowanych z elementów o różnym poziomie wydajności, znajdują szerokie zastosowanie w praktyce inżynierskiej. W prezentowanej pracy podjęto rozważania łączące zagadnienia alokacji nadmiarowości oraz alokacji pracowników służb utrzymania ruchu w naprawialnych systemach MSS o konfiguracji szeregowo-równoległej. Tradycyjnie ujmowane zagadnienie alokacji nadmiarowości (redundancy allocation problem, RAP) w systemach MSS zawsze zakłada, że środki obsługi są nieograniczone. Jednakże w wielu sytuacjach praktycznych, środki obsługi mogą być ograniczone budżetem i/lub czasem. Istnieją dwa możliwe sposoby maksymalizacji gotowości systemu przy określonym zapotrzebowaniu użytkowników: (1) zaprojektowanie optymalnej konfiguracji systemu z wykorzystaniem dostępnych elementów oraz (2) alokowanie większej liczby pracowników obsługi w celu zmniejszenia czasu oczekiwania na naprawę. Dostępność jednakowych wersji elementów przy wcześniej określonej liczbie pracowników obsługi oceniano za pomocą modelu kolejek Markowa. Uniwersalną funkcję generacyjną (UGF) wykorzystano do oceny gotowości całego systemu MSS przy określonym zapotrzebowaniu. Zaproponowano dwa równania optymalizacyjne uwzględniające ograniczone środki obsługi. W jednym z nich ograniczoność środków obsługi potraktowano jako ograniczenie (constraint), natomiast drugie równanie dotyczyło minimalizacji całkowitych kosztów systemu włącznie z kosztami elementów systemu oraz płacą pracowników służb utrzymania ruchu. Strategie alokacji nadmiarowości systemu oraz alokacji pracowników poddano jednoczesnej optymalizacji z uwzględnieniem wymaganej gotowości. Wydajność proponowanych modeli zilustrowano przykładem numerycznym. Poszukiwania optymalnej strategii globalnej prowadzono przy pomocy niedawno opracowanego metaheurystycznego algorytmu optymalizacyjnego znanego jako algorytm świetlika (Firefly Algorithm, FA).
    Źródło:
    Eksploatacja i Niezawodność; 2012, 14, 4; 312-318
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A nature inspired collision avoidance algorithm for ships
    Autorzy:
    Lazarowska, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/24201448.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    collision avoidance algorithm
    safe own Ship's Trajectory
    safe navigation
    ant colony optimization
    firefly agorithm
    path planning
    swarm intelligence
    nature inspired computing
    Opis:
    Nature inspired algorithms are regarded as a powerful tool for solving real life problems. They do not guarantee to find the globally optimal solution, but can find a suboptimal, robust solution with an acceptable computational cost. The paper introduces an approach to the development of collision avoidance algorithms for ships based on the firefly algorithm, classified to the swarm intelligence methods. Such algorithms are inspired by the swarming behaviour of animals, such as e.g. birds, fish, ants, bees, fireflies. The description of the developed algorithm is followed by the presentation of simulation results, which show, that it might be regarded as an efficient method of solving the collision avoidance problem. Such algorithm is intended for use in the Decision Support System or in the Collision Avoidance Module of the Autonomous Navigation System for Maritime Autonomous Surface Ships.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 2; 341--346
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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