Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "evolutionary" wg kryterium: Temat

  Lista filtrów

Dostawca treści

Wyrównaj
Wyświetlanie 1-15 z 383
Tytuł:
Artificial intelligence-powered pulse sequences in nuclear magnetic resonance and magnetic resonance imaging: historical trends, current innovations and perspectives
Autorzy:
Tokarz, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/35508129.pdf
Data publikacji:
2024
Wydawca:
Radomskie Towarzystwo Naukowe
Tematy:
artificial intelligence
machine learning
evolutionary algorithm
artificial neural network
nuclear magnetic resonance
magnetic resonance imaging
pulse sequence
shaped pulse
sztuczna inteligencja
uczenie maszynowe
algorytm ewolucyjny
sztuczna sieć neuronowa
magnetyczny rezonans jądrowy
rezonans magnetyczny
sekwencja impulsów
impuls ukształtowany
Opis:
This review article explores the historical background and recent advances in the application of artificial intelligence (AI) in the development of radiofrequency pulses and pulse sequences in nuclear magnetic resonance spectroscopy (NMR) and imaging (MRI). The introduction of AI into this field, which traces back to the late 1970s, has recently witnessed remarkable progress, leading to the design of specialized frameworks and software solutions such as DeepRF, MRzero, and GENETICS-AI. Through an analysis of literature and case studies, this review tracks the transformation of AI-driven pulse design from initial proof-of-concept studies to comprehensive scientific programs, shedding light on the potential implications for the broader NMR and MRI communities. The fusion of artificial intelligence and magnetic resonance pulse design stands as a promising frontier in spectroscopy and imaging, offering innovative enhancements in data acquisition, analysis, and interpretation across diverse scientific domains.
Źródło:
Scientiae Radices; 2024, 3, 1; 30-52
2956-4808
Pojawia się w:
Scientiae Radices
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stochastic schemata exploiter-based optimization of hyper-parameters for XGBoost
Autorzy:
Makino, Hiroya
Kita, Eisuke
Powiązania:
https://bibliotekanauki.pl/articles/38707755.pdf
Data publikacji:
2024
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
evolutionary computation
Stochastic Schemata Exploiter
hyperparameter optimization
XGBoost
obliczenia ewolucyjne
eksplorator schematów stochastycznych
optymalizacja hiperparametrów
Opis:
XGBoost is well-known as an open-source software library that provides a regularizing gradient boosting framework. Although it is widely used in the machine learning field, its performance depends on the determination of hyper-parameters. This study focuses on the optimization algorithm for hyper-parameters of XGBoost by using Stochastic Schemata Exploiter (SSE). SSE, which is one of Evolutionary Algorithms, is successfully applied to combinatorial optimization problems. SSE is applied for optimizing hyper-parameters of XGBoost in this study. The original SSE algorithm is modified for hyper-parameter optimization. When comparing SSE with a simple Genetic Algorithm, there are two interesting features: quick convergence and a small number of control parameters. The proposed algorithm is compared with other hyper-parameter optimization algorithms such as Gradient Boosted Regression Trees (GBRT), Tree-structured Parzen Estimator (TPE), Covariance Matrix Adaptation Evolution Strategy (CMA-ES), and Random Search in order to confirm its validity. The numerical results show that SSE has a good convergence property, even with fewer control parameters than other methods.
Źródło:
Computer Assisted Methods in Engineering and Science; 2024, 31, 1; 113-132
2299-3649
Pojawia się w:
Computer Assisted Methods in Engineering and Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A genetic algorithm based optimized convolutional neural network for face recognition
Autorzy:
Karlupia, Namrata
Mahajan, Palak
Abrol, Pawanesh
Lehana, Parveen K.
Powiązania:
https://bibliotekanauki.pl/articles/2201023.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
convolutional neural network
genetic algorithm
deep learning
evolutionary technique
sieć neuronowa konwolucyjna
algorytm genetyczny
uczenie głębokie
technika ewolucyjna
Opis:
Face recognition (FR) is one of the most active research areas in the field of computer vision. Convolutional neural networks (CNNs) have been extensively used in this field due to their good efficiency. Thus, it is important to find the best CNN parameters for its best performance. Hyperparameter optimization is one of the various techniques for increasing the performance of CNN models. Since manual tuning of hyperparameters is a tedious and time-consuming task, population based metaheuristic techniques can be used for the automatic hyperparameter optimization of CNNs. Automatic tuning of parameters reduces manual efforts and improves the efficiency of the CNN model. In the proposed work, genetic algorithm (GA) based hyperparameter optimization of CNNs is applied for face recognition. GAs are used for the optimization of various hyperparameters like filter size as well as the number of filters and of hidden layers. For analysis, a benchmark dataset for FR with ninety subjects is used. The experimental results indicate that the proposed GA-CNN model generates an improved model accuracy in comparison with existing CNN models. In each iteration, the GA minimizes the objective function by selecting the best combination set of CNN hyperparameters. An improved accuracy of 94.5% is obtained for FR.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2023, 33, 1; 21--31
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of genetic algorithms to the traveling salesman problem
Autorzy:
Sikora, Tomasz
Gryglewicz-Kacerka, Wanda
Powiązania:
https://bibliotekanauki.pl/articles/30148246.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
evolutionary algorithms
genetic algorithms
traveling salesman problem
TSP
Opis:
The purpose of this paper was to investigate in practice the possibility of using evolutionary algorithms to solve the traveling salesman problem on a real example. The goal was achieved by developing an original implementation of the evolutionary algorithm in Python, and by preparing an example of the traveling salesman problem in the form of a directed graph representing Polish voivodship cities. As part of the work an application in Python was written. It provides a user interface which allows to set selected parameters of the evolutionary algorithm and solve the prepared problem. The results are presented in both text and graphical form. The correctness of the evolutionary algorithm's operation and the implementation was confirmed by performed tests. A large number of tested solutions (2500) and the analysis of the obtained results allowed for a conclusion that an optimal (relatively suboptimal) solution was found.
Źródło:
Applied Computer Science; 2023, 19, 2; 55-62
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modern method based on artificial intelligence for safe control in the marine environment
Autorzy:
Mohamed-Seghir, Gdynia Maritime University, Gdynia, Poland
Powiązania:
https://bibliotekanauki.pl/articles/24201419.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
safe ship's trajectory
collision avoidance
artificial intelligence
artificial neural network
fuzzy logic
evolutionary algorithms
dynamic programming
Opis:
The article presents an approach to formulating a ship control process model in order to solve the problem of determining a safe ship trajectory in collision situations. Fuzzy process properties are included in the model to bring it closer to reality, as in many situations the navigator makes a subjective decision. A special neural network was used to solve the presented problem. This artificial neural network is characterized by minimum and maximum operations when set. In order to confirm the correctness of the operation of the proposed algorithm, the results of the simulations obtained were presented and an discussion was conducted.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 2; 283--288
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modifications of the Prison Environment – Postulates Inspired by Evolutionary Psychology
Autorzy:
Florek, Stefan
Piotrowski, Przemysław
Powiązania:
https://bibliotekanauki.pl/articles/11542394.pdf
Data publikacji:
2023-04
Wydawca:
Państwowa Wyższa Szkoła Zawodowa w Nowym Sączu
Tematy:
prison
imprisonment
evolutionary psychology
environment
change
Opis:
The conditions of imprisonment in Polish prisons make it difficult to achieve the goals of penitentiary social rehabilitation. Adaptation to prison conditions, which occurs especially as a result of long-term stay in a closed-type prison, results in disadaptation to the conditions in freedom and usually leads to degradation of the prisoner’s personality. An important reason for this is the unnaturalness of a environment. It is almost totally incompatible with human nature due to its radical difference from the environment in which the human mind evolved. In the article, the authors present an initial evolutionary oriented diagnosis of environmental factors responsible for low effectiveness of penitentiary social rehabilitation. The article contains also suggestions of modifications that may increase the level of its effectiveness.
Źródło:
Eruditio et Ars; 2023, 6, 1; 197-208
2545-2363
Pojawia się w:
Eruditio et Ars
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Shape optimization of the muffler shield with regard to strength properties
Autorzy:
Jarosz, Joachim
Długosz, Adam
Powiązania:
https://bibliotekanauki.pl/articles/38903721.pdf
Data publikacji:
2023
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
muffler shield
evolutionary algorithms
multi-objective optimization
finite element method
optimal design
Opis:
This paper is devoted to the shape optimization of the muffler shield with regard to strength properties. Three different optimization criteria are defined and numerically implemented concerning the strength properties of the shield, and different variants of optimization tasks are solved using both built-in optimization modules and in-house external algorithms. The effectiveness and efficiency of the optimization methods used are compared and presented.
Źródło:
Engineering Transactions; 2023, 71, 3; 351-366
0867-888X
Pojawia się w:
Engineering Transactions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The interdisciplinary profile of theology—fashion or necessity?
Autorzy:
Anderwald, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/31804101.pdf
Data publikacji:
2023
Wydawca:
Copernicus Center Press
Tematy:
evolutionary theology
interdisciplinarity
science and theology
Opis:
This review pertains to the book Evolutionary Theology (Teologia ewolucyjna) written by Wojciech P. Grygiel and Damian Wąsek. The book presents a distinct and modern viewpoint on theology by offering a comprehensive analysis of the characteristics of theological language and utilizing it to reevaluate certain theological beliefs, such as the concept of original sin, within the framework of the ever-changing understanding of the Universe. This approach contributes significantly to the restoration of theology’s credibility in modern culture by bridging the gap between science and theology.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2023, 75; 259-266
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
AH Method: a Novel Routine for Vicinity Examination of the Optimum Found with a Genetic Algorithm
Autorzy:
Piętak, Daniel Andrzej
Bilski, Piotr
Napiorkowski, Paweł Jan
Powiązania:
https://bibliotekanauki.pl/articles/2200688.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
heuristics
evolutionary computations
genetic algorithms
uncertainty estimation
parameter study
Opis:
The paper presents a novel heuristic procedure (further called the AH Method) to investigate function shape in the direct vicinity of the found optimum solution. The survey is conducted using only the space sampling collected during the optimization process with an evolutionary algorithm. For this purpose the finite model of point-set is considered. The statistical analysis of the sampling quality based upon the coverage of the points in question over the entire attraction region is exploited. The tolerance boundaries of the parameters are determined for the user-specified increase of the objective function value above the found minimum. The presented test-case data prove that the proposed approach is comparable to other optimum neighborhood examination algorithms. Also, the AH Method requires noticeably shorter computational time than its counterparts. This is achieved by a repeated, second use of points from optimization without additional objective function calls, as well as significant repository size reduction during preprocessing.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 4; 695--708
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Evolutionary Perspective on the Endogenous Instability of Capitalist Dynamics
Autorzy:
Klapkiv, Lyubov
Ulgen, Faruk
Powiązania:
https://bibliotekanauki.pl/articles/2167585.pdf
Data publikacji:
2022-11-30
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
Tematy:
financial regulation
financial crisis
innovation
institutionalist
evolutionary approaches
Opis:
This article is a theoretical and conceptual exploration into the study of the dynamics of financial innovations and their consequences in market economies. Drawing upon the works of Schumpeter and Minsky in an institutionalist and evolutionary tradition, the article puts forward the monetary and financial features of the 21st century economies and the recurrent systemic financial instabilities generated within the context of the financialization process. It then calls for alternative regulatory reforms capable of leading to sustainable economic development. The originality of the analysis lies in the fact that the micro-dynamics of innovations may result in both creative and destructive outcomes since there are some crucial differences between entrepreneurial innovations à la Schumpeter as the positive force in economic development, and financial innovations à la Minsky as the source of instabilities. The article then focuses on the weaknesses and inconsistencies of loosely regulated financial markets and suggests a few principles for rele-vant financial regulation in an endogenously unstable economy. The main contribution of the article is that financial stability must be regarded as a public good to be provided by an economy-wide regulatory framework under the supervision of a visible public hand. The study of the conditions of financial stability proves to be a matter of a specific social dilemma—opposition between private and public interests—that concerns the organisation and management of financial markets at the macroeconomic level. Such a dilemma leads to the ultimate regulatory issue of spurring the innovation dynamics of financial markets while ensuring systemic stability and sustainability through an appropriate regulatory and supervisory environment.
Źródło:
Central European Economic Journal; 2022, 9, 56; 291-308
2543-6821
Pojawia się w:
Central European Economic Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of modification of the evolutionary algorithm for sequencing production tasks
Autorzy:
Ciepliński, Piotr
Golak, Sławomir
Wieczorek, Tadeusz
Powiązania:
https://bibliotekanauki.pl/articles/29520067.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
evolutionary algorithm
task sequencing
mutation operator
algorytm ewolucyjny
operator mutacji
Opis:
Evolutionary algorithms are one of the heuristic techniques used to solve task sequencing problems. An important example of such a problem is the issue of sequencing production tasks. The combinatorial optimization of task sequences allows the minimization of the cost or time of a set of production tasks by reducing the components of these values which are present in the transitions between tasks. This paper aims to analyze the influence of the production nature expressed by a set of production task parameters and a definition of the task transition cost on the effectiveness of the modification of the evolutionary algorithm based on new directed stochastic mutation operators. The research carried out included the influence of the space dimension of the task parameters, the number of levels of the value of the cost function, and a definition of this function. The results obtained allow us to assess the effectiveness of the directed mutation in task sequencing for productions of various natures.
Źródło:
Computer Methods in Materials Science; 2022, 22, 3; 157-166
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms
Autorzy:
Olejarczyk-Wożeńska, Izabela
Opaliński, Andrzej
Mrzygłód, Barbara
Regulski, Krzysztof
Kurowski, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/29520068.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
heuristic optimization
bainite
ADI
Particle Swarm Optimization
Evolutionary Optimization Algorithm
Opis:
The paper presents the application of heuristic optimization methods in identifying the parameters of a model for bainite transformation time in ADI (Austempered Ductile Iron). Two algorithms were selected for parameter optimization – Particle Swarm Optimization and Evolutionary Optimization Algorithm. The assumption of the optimization process was to obtain the smallest normalized mean square error (objective function) between the time calculated on the basis of the identified parameters and the time derived from the experiment. As part of the research, an analysis was also made in terms of the effectiveness of selected methods, and the best optimization strategies for the problem to be solved were selected on their basis.
Źródło:
Computer Methods in Materials Science; 2022, 22, 3; 125-136
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Disputatio on the Distinction between the Human Person and Other Animals: the Human Person as Gardener
Autorzy:
Savino, Damien Marie
Wagner, Daniel C.
Powiązania:
https://bibliotekanauki.pl/articles/2138115.pdf
Data publikacji:
2022-09-26
Wydawca:
International Étienne Gilson Society
Tematy:
human uniqueness
gardening
person
personalism
philosophical anthropology
philosophical biology
thomas Aquinas
Aristotle
human intelligence
animal intelligence
cognition
epistemology
metaphysics
philosophy of language
evolutionary biology
ecology
logic
ethics
disputatio
Opis:
While the catholic intellectual tradition upholds the uniqueness of humans, much contemporary scientific research has come to the opposing conclusion that humans are not significantly different from other animals. to engage in robust dialogue around the question of human uniqueness, we utilize Aquinas’s model of disputatio to focus on an attribute of human beings that is unexplored in the literature – namely, the human capacity to garden – and address five scientific and philosophical objections to our position that the capacity to garden makes humans distinct. engaging with various branches of science, we demonstrate that human capacities and modes of gardening are not only incrementally different, but also fundamentally different in kind, from those of nonhuman creatures. Philosophically, we utilize the power-object model of division and Aristotle’s categorization of knowledge to express the difference in kind between human beings and other animals. these responses allow us to set aside each major objection.
Źródło:
Studia Gilsoniana; 2022, 11, 3; 471-530
2300-0066
Pojawia się w:
Studia Gilsoniana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evolutionary algorithm for selecting dynamic signatures partitioning approach
Autorzy:
Zalasiński, Marcin
Laskowski, Łukasz
Niksa-Rynkiewicz, Tacjana
Cpałka, Krzysztof
Byrski, Aleksander
Przybyszewski, Krzysztof
Trippner, Paweł
Dong, Shi
Powiązania:
https://bibliotekanauki.pl/articles/2147146.pdf
Data publikacji:
2022
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
identity verification
dynamic signature
hybrid partitions
partitions’ selection
evolutionary algorithm
Opis:
In the verification of identity, the aim is to increase effectiveness and reduce involvement of verified users. A good compromise between these issues is ensured by dynamic signature verification. The dynamic signature is represented by signals describing the position of the stylus in time. They can be used to determine the velocity or acceleration signal. Values of these signals can be analyzed, interpreted, selected, and compared. In this paper, we propose an approach that: (a) uses an evolutionary algorithm to create signature partitions in the time and velocity domains; (b) selects the most characteristic partitions in terms of matching with reference signatures; and (c) works individually for each user, eliminating the need of using skilled forgeries. The proposed approach was tested using Biosecure DS2 database which is a part of the DeepSignDB, a database with genuine dynamic signatures. Our simulations confirmed the correctness of the adopted assumptions.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2022, 12, 4; 267--279
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fractional order PIλDμ controller with optimal parameters using Modified Grey Wolf Optimizer for AVR system
Autorzy:
Verma, Santosh Kumar
Devarapalli, Ramesh
Powiązania:
https://bibliotekanauki.pl/articles/2134890.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
integer order PID controller
fractional order PID controller
automatic voltage regulator
evolutionary optimization
Grey Wolf Optimizer
Opis:
In this paper, an automatic voltage regulator (AVR) embedded with fractional order PID (FOPID) is employed for the alternator terminal voltage control. A novel meta-heuristic technique, a modified version of grey wolf optimizer (mGWO) is proposed to design and optimize the FOPID AVR system. The parameters of FOPID, namely, proportional gain (ΚP), the integral gain ( ΚI), the derivative gain ( ΚD), λ and μ have been optimally tuned with the proposed mGWO technique using a novel fitness function. The initial values of the ΚP, ΚI , and ΚD of the FOPID controller are obtained using Ziegler-Nichols (ZN) method, whereas the initial values of λ and μ have been chosen as arbitrary values. The proposed algorithm offers more benefits such as easy implementation, fast convergence characteristics, and excellent computational ability for the optimization of functions with more than three variables. Additionally, the hasty tuning of FOPID controller parameters gives a high-quality result, and the proposed controller also improves the robustness of the system during uncertainties in the parameters. The quality of the simulated result of the proposed controller has been validatedby other state-of-the-art techniques in the literature.
Źródło:
Archives of Control Sciences; 2022, 32, 2; 429--450
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 383

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies