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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:
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:
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:
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
Wyświetlanie 1-15 z 20

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