Relevant bibliographies by topics / Algoritmus PSO

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Algoritmus PSO'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Algoritmus PSO"

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Tang, Zhonghua, and Yongquan Zhou. "A Glowworm Swarm Optimization Algorithm for Uninhabited Combat Air Vehicle Path Planning." Journal of Intelligent Systems 24, no. 1 (2015): 69–83. http://dx.doi.org/10.1515/jisys-2013-0066.

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AbstractUninhabited combat air vehicle (UCAV) path planning is a complicated, high-dimension optimization problem. To solve this problem, we present in this article an improved glowworm swarm optimization (GSO) algorithm based on the particle swarm optimization (PSO) algorithm, which we call the PGSO algorithm. In PGSO, the mechanism of a glowworm individual was modified via the individual generation mechanism of PSO. Meanwhile, to improve the presented algorithm’s convergence rate and computational accuracy, we reference the idea of parallel hybrid mutation and local search near the global op
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Jovanović, Dražen, Martin Ćalasan, and Milovan Radulović. "Estimation of solar cell parameters using PSO algorithm." Tehnika 74, no. 1 (2019): 91–96. http://dx.doi.org/10.5937/tehnika1901091j.

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Mujičić, Danilo, Martin Ćalasan, and Milovan Radulović. "Application of PSO algorithm in transformer parameter estimation." Tehnika 74, no. 2 (2019): 251–57. http://dx.doi.org/10.5937/tehnika1902251m.

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Klásková, Eva, and Jan David. "Algorithm for recognition a seriously ill child." Česko-slovenská pediatrie 77, no. 5 (2022): 284–86. http://dx.doi.org/10.55095/cspediatrie2022/045.

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Novikova, Tatyana, Svetlana Evdokimova, and Roman Medvedev. "Computer-aided design of the location of wireless cellular base stations." Modeling of systems and processes 16, no. 4 (2023): 61–70. http://dx.doi.org/10.12737/2219-0767-2023-16-4-61-70.

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The planning of wireless base stations is a multi-purpose task of optimizing combinations, and the main goals of optimization include cost reduction, increased coverage and quality preservation. The paper pays attention to the consideration of the coverage radius, the quality of signal transmission and two types of signal interference. To implement the tasks set for the location of the base station, the following algorithms were used: PMET-PSO and PPSO-GA, which became the basis for the module for solving problems of designing the location of base stations in the proposed automated design syst
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Quah, Titus, Derek Machalek, and Kody M. Powell. "Comparing Reinforcement Learning Methods for Real-Time Optimization of a Chemical Process." Processes 8, no. 11 (2020): 1497. http://dx.doi.org/10.3390/pr8111497.

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One popular method for optimizing systems, referred to as ANN-PSO, uses an artificial neural network (ANN) to approximate the system and an optimization method like particle swarm optimization (PSO) to select inputs. However, with reinforcement learning developments, it is important to compare ANN-PSO to newer algorithms, like Proximal Policy Optimization (PPO). To investigate ANN-PSO’s and PPO’s performance and applicability, we compare their methodologies, apply them on steady-state economic optimization of a chemical process, and compare their results to a conventional first principles mode
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Vojtíšek, Michal, and Martin Kotek. "Estimation of Engine Intake Air Mass Flow using a generic Speed-Density method." Journal of Middle European Construction and Design of Cars 12, no. 1 (2014): 7–15. http://dx.doi.org/10.2478/mecdc-2014-0002.

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SHRNUTÍ Měření výfukových emisí spalovacích motorů během reálného provozu přenosnými zařízeními umístěnými na palubě vozidla (PEMS) je důležitou součástí hodnocení dopadu nových paliv a technologií na životní prostředí a lidské zdraví. Znalost aktuálního toku výfukových plynů je jedním z nezbytných předpokladů pro takové provozní měření. Jedním z nejjednodušších způsobů je výpočet z toku nasáveného vzduchu, který je vypočten z měřených otáček motoru a tlaku a teploty náplně v sacím potrubí. V této práci byl obecný algoritmus využívající odhad dopravní účinnosti libovolného běžného čtyřdobého m
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DERDİMAN, Mehmet K. "RELIABILITY-BASED CROSS-SECTION OPTIMIZATION OF CANTILEVER SLABS USING DISCRETE PSO ALGORITHM." Mühendislik Bilimleri ve Tasarım Dergisi 10, no. 3 (2022): 987–99. http://dx.doi.org/10.21923/jesd.952838.

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Günümüzün gelişen bilgisayar teknolojileri ile kullanımı ve araştırması en çok artan konuların başında optimizasyon gelmektedir. Parçacık sürü optimizasyon (PSO) algoritması ise uzun yıllardır üzerinde araştırmalar yapılmış ve geçerliliği kabul görmüş popülasyon tabanlı algoritmalar arasında yer almaktadır. Konsol döşemelerde döşemenin sehim sınırlarını aşmadan TS500 taşıma gücü kriterlerini sağlayacak çok sayıda farklı çözümü mevcuttur. Bu çözümler arasından en faydalı ve ekonomik olanın seçilmesi önemlidir. Eğer optimal tasarıma ilişkin bir kriter ortaya konulursa, bu tasarımcı için önemli b
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Vilcu, Adrian, Ionut Herghiligiu, Ion Verzea, and Raluca Lazarescu. "A NEW PSO-BASED ALGORITHM FOR AN OPERATIONAL MANAGEMENT PROBLEM." International Journal of Modern Manufacturing Technologies 14, no. 3 (2022): 299–303. http://dx.doi.org/10.54684/ijmmt.2022.14.3.299.

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Operational management issues represent a permanent challenge for the current economic environment and the research activity. This research will model a Travelling Salesman Problem (TSP). The complexity of this fundamental problem (np-hard) allows a chance to apply and develop heuristic methods and evolutionary algorithms along with exact methods (dynamic programming, branch & bound). This paper proposes a new discrete algorithm to solve the TSP based on the Particle Swarm Optimization (PSO) technique. The features of this method are fast determination through an iterative process of the o
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Ali, Omer, Qamar Abbas, Khalid Mahmood, Ernesto Bautista Thompson, Jon Arambarri, and Imran Ashraf. "Competitive Coevolution-Based Improved Phasor Particle Swarm Optimization Algorithm for Solving Continuous Problems." Mathematics 11, no. 21 (2023): 4406. http://dx.doi.org/10.3390/math11214406.

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Particle swarm optimization (PSO) is a population-based heuristic algorithm that is widely used for optimization problems. Phasor PSO (PPSO), an extension of PSO, uses the phase angle θ to create a more balanced PSO due to its increased ability to adjust the environment without parameters like the inertia weight w. The PPSO algorithm performs well for small-sized populations but needs improvements for large populations in the case of rapidly growing complex problems and dimensions. This study introduces a competitive coevolution process to enhance the capability of PPSO for global optimization
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Dissertations / Theses on the topic "Algoritmus PSO"

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Ondráček, Pavel. "Optimalizační techniky v obrazových aplikacích." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442498.

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This thesis deals with methods for optimization in image processing. There is described some of optimization techniques and some applications in image processing. There is also described detailed procedure and realization of bee algorithm, genetic algorithm, PSO algorithm and their realization in image registration, matched filtering, image segmentation and image reconstruction. Algorithms and their efficiencies are compared in the particular application for image processing.
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Götthans, Tomáš. "Pokročilé algoritmy analýzy datových sekvencí v Matlabu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218618.

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Cílem této práce je se seznámení s možnostmi programu Matlab z hlediska detailní analýzy deterministických dynamických systémů. Jedná se především o analýzu časové posloupnosti a o nalezení Lyapunových exponentů. Dalším cílem je navrhnout algoritmus umožňující specifikovat chování systému na základě znalosti příslušných diferenciálních rovnic. To znamená, nalezení chaotických systémů.
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Kolářová, Jana. "Evoluční algoritmy pro ultrazvukovou perfúzní analýzu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-401037.

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This master´s thesis is focused on the application of evolutionary algorithms for interleaving data obtained by ultrasound scanning of tissue. The interleaved curve serves to estimate perfusion parameters, thus allowing to detect possible pathophysiology in the scanned area. The theoretical introduction is devoted to perfusion and its parameters, contrast agents for ultrasonic application, ultrasonic modality scanning, optimization, evolutionary algorithms in general and two selected evolutionary algorithms - genetic algorithm and bee algorithm. These algorithms were tested on noisy data obtai
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Rusnák, Jakub. "Vizualizace algoritmů pro plánování cesty." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363819.

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Thesis describes library for algorithm vizualization. It helps to create user interface for application with algorithms. It’s usage is demonstrated on some pathfinding algorithms.These applications are presented on web page.
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Hulva, Jiří. "Koevoluční algoritmus pro úlohy založené na testu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236019.

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This thesis deals with the usage of coevolution in the task of symbolic regression. Symbolic regression is used for obtaining mathematical formula which approximates the measured data. It can be executed by genetic programming - a method from the category of evolutionary algorithms that is inspired by natural evolutionary processes. Coevolution works with multiple evolutionary processes that are running simultaneously and influencing each other. This work deals with the design and implementation of the application which performs symbolic regression using coevolution on test-based problems. The
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Volf, Lukáš. "Program pro testování rychlosti šifrovacích algoritmů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218674.

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Program for testing of speed of encryption algorithms is project aimed to build a program, which will be able to test specific properties of each single encryption algorithm protocol and results of testing will be saved for later statistical analysis. Program is going to be build in C# program language. In statistical analysis part all data and results from testing of each single algorithm will be processed and reviewed in transparent reports.
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Povalač, Karel. "Sledování spektra a optimalizace systémů s více nosnými pro kognitivní rádio." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-233577.

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The doctoral thesis deals with spectrum sensing and subsequent use of the frequency spectrum by multicarrier communication system, which parameters are set on the basis of the optimization technique. Adaptation settings can be made with respect to several requirements as well as state and occupancy of individual communication channels. The system, which is characterized above is often referred as cognitive radio. Equipments operating on cognitive radio principles will be widely used in the near future, because of frequency spectrum limitation. One of the main contributions of the work is the n
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Bodeček, Miroslav. "Algoritmus pro cílené doporučování produktů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-412860.

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The goal of this project is to explore the problem of product recommendations in the area of e-commerce and to evaluate known techniques, design product recommendation system for an existing e-commerce site, implement it and test it. This report introduces the problem, briefly examines current state of affairs in this area and defines requirements for a product recommendation module. The concept of data mining in general is introduced. The report proceeds to present detailed design corresponding to defined requirements and summarizes data gathered during testing phase. It concludes with evalua
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Melo, Leonardo Alves Moreira de. "Comparação de algoritmos de enxame de partículas para otimização de problemas em larga escala." Universidade Federal de Goiás, 2018. http://repositorio.bc.ufg.br/tede/handle/tede/9108.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2018-11-29T10:40:19Z No. of bitstreams: 2 Dissertação - Leonardo Alves Moreira de Melo - 2018.pdf: 2693689 bytes, checksum: 850fbad5a82099825d2478ba3415dcac (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2018-11-29T11:09:58Z (GMT) No. of bitstreams: 2 Dissertação - Leonardo Alves Moreira de Melo - 2018.pdf: 2693689 bytes, checksum: 850fbad5a82099825d2478ba3415dcac (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e
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Horáková, Pavla. "Optimalizace pro registraci obrazů založená na genetických algoritmech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219505.

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Diploma thesis is focused on global optimization methods and their utilization for medical image registration. The main aim is creation of the genetic algorithm and test its functionality on synthetic data. Besides test functions and test figures algorithm was subjected to real medical images. For this purpose was created graphical user interface with choise of parameters according to actual requirement. After adding an iterative gradient method it became of hybrid genetic algorithm.
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Books on the topic "Algoritmus PSO"

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Ayyadevara, V. Kishore. Pro Machine Learning Algorithms. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3564-5.

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Višňák, Jakub. Kvantově chemické algoritmy pro kvantové počítače. Academia, 2014.

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Štuller, Július. Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu: Seminář projektu programu "Informační společnost", 5.10.-7.10.2006, hotel Olympia, Zadov. Ústav informatiky AV ČR, 2006.

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López, Javier. Optimización multi-objetivo. Editorial de la Universidad Nacional de La Plata (EDULP), 2015. http://dx.doi.org/10.35537/10915/45214.

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Cuando hablamos de optimización en el ámbito de las ciencias de la computación hacemos referencia al mismo concepto coloquial asociado a esa palabra, la concreción de un objetivo utilizando la menor cantidad de recursos disponibles, o en una visión similar, la obtención del mejor objetivo posible utilizando todos los recursos con lo que se cuenta. Los métodos para encontrar la mejor solución (óptima) varían de acuerdo a la complejidad del problema enfrentado. Para problemas triviales, el cerebro humano posee la capacidad de resolverlos (encontrar la mejor solución) directamente, pero a medida
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Ayyadevara, V. Kishore. Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R. Apress, 2018.

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Coates, Laura C., Arthur Kavanaugh, and Christopher T. Ritchlin. Treatment algorithm and treat to target. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198737582.003.0032.

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This chapter covers the evidence for treatment algorithms and treatment to target in PsA. Evidence for treatment algorithms including step up vs step down approaches to prescribing and early vs delayed treatment is discussed. EULAR recommendations for treating to target in SpA are outlined with a summary of the level of evidence available at that time. Key outcome measures that could be utilized as targets in PsA are reviewed with discussion of their merits and deficiencies. A detailed description of the first treat to target study in PsA is presented: the TICOPA study. The impact of comorbidi
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Nita, Stefania Loredana, and Marius Iulian Mihailescu. Pro Cryptography and Cryptanalysis: Creating Advanced Algorithms with C# And . NET. Apress L. P., 2020.

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Nita, Stefania Loredana, and Marius Iulian Mihailescu. Pro Cryptography and Cryptanalysis with C++20: Creating and Programming Advanced Algorithms. Apress L. P., 2021.

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Pro Cryptography and Cryptanalysis with C++23: Creating and Programming Advanced Algorithms. Apress L. P., 2023.

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Programming Like A Pro For Teens. Course Technology, 2011.

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Book chapters on the topic "Algoritmus PSO"

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Krzeszowski, Tomasz, Krzysztof Wiktorowicz, and Krzysztof Przednowek. "Comparison of Selected Fuzzy PSO Algorithms." In Recent Advances in Computational Optimization. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59861-1_7.

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Voss, Michael, Rafael Asenjo, and James Reinders. "Generic Parallel Algorithms." In Pro TBB. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4398-5_2.

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Sowmith, P., N. Goutham Kumar, and B. Varun Kumar. "Multi-objective Hydro-Thermal-Wind Scheduling Applying PSO." In Algorithms for Intelligent Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6893-7_13.

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Saremi, Shahrzad, and Seyedali Mirjalili. "Evaluating PSO and MOPSO Equipped with Evolutionary Population Dynamics." In Algorithms for Intelligent Systems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9757-8_4.

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Jain, Dharmendra, M. K. Bhaskar, and Manish Parihar. "PSO-Based Controller for LFC of Deregulated Power System." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4626-6_50.

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Martínez, Eddy, Neil Buckley, and Emanuele Lindo Secco. "A PSO-Optimized Fixed and a PSO-Optimized Neural Network-Adaptive Traffic Signal Controllers for Traffic Improvement in Santo Domingo, Dominican Republic." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3951-8_46.

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Kumar, Manish, Manish Gupta, Divesh Kumar, and Vinay kumar Deolia. "Optimization of Low Power LNA Using PSO for UWB Application." In Algorithms for Intelligent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6707-0_37.

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Yamada, Shinichi, and Kourosh Neshatian. "Improving Representation in Benchmarking of Binary PSO Algorithms." In AI 2018: Advances in Artificial Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03991-2_35.

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Saharia, Barnam Jyoti, Dimpy Mala Dutta, and Nabin Sarmah. "GWOSCAPSO : A Hybrid GWO-SCA-PSO Algorithm for Solving Optimization Problems." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9532-1_1.

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Mahdi, Wisam Hayder, and Necmi Taşpınar. "PSO and GA-Based RA Schemes for 5G Networks for D2D Communication." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3951-8_47.

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Conference papers on the topic "Algoritmus PSO"

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Wei, Yixin, Tong Qiu, and Zhen Chen. "Metabolic optimization of Vibrio natriegens based on metaheuristic algorithms and the genome-scale metabolic model." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.169411.

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In recent years, burgeoning interest in products derived from microbial production across various sectors has significantly propelled the evolution of the field of metabolic engineering. As a Gram-negative bacterium, Vibrio natriegens is characterized by its fast growth, robust metabolic capabilities, and a broad substrate spectrum, making it a promising candidate as a standard biological host for the industrial bioproduction of metabolites. Genome-scale metabolic models (GSMMs) are mathematical representations constructed based on genome annotations and gene-protein-reaction (GPR) association
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Wen, Beibei, and Yuanyuan Zhao. "PSO-BP Neural Network Model in Stock Prediction." In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024. http://dx.doi.org/10.1109/iacis61494.2024.10721939.

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Zhou, Yida, Zhu Zhuang, Zheyuan Zhang, et al. "Bearing Fault Diagnosis Based on CEEMDAN and CMDE Using PSO-ELM." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11019120.

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Vijayaraghavan, P., P. Vasanthi, Muntather Almusawi, Shivani Thakur, Pankaj Varma, and Anakath. "Hybrid Bioinspired Algorithms for UWSNs: Combining Genetic Algorithm and PSO." In 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS). IEEE, 2024. http://dx.doi.org/10.1109/iicccs61609.2024.10763704.

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Pan, Lianrong, Yuyang Hu, Xiao Yang, Xin Wei, and Shangbin Yuan. "Multi-objective Optimization in Self-driving System of Distribution Network: Adopting PSO Strategy." In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024. http://dx.doi.org/10.1109/iacis61494.2024.10721755.

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Jiang, Aoyun, Dazhi Wang, Liang Tong, and Yanqi Jiang. "Research on Optimal Scheduling of Water Supply System Based on GA-PSO Algorithm." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11019973.

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Le, Jiangtao, Xianwen Zeng, and Guige Gao. "Electric energy price prediction based on EMD-PSO-LSTM improved algorithms." In International Conference on Physics, Photonics and Optical Engineering (ICPPOE 2024), edited by Yingkai Liu. SPIE, 2025. https://doi.org/10.1117/12.3059979.

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Mei, Xia, Na Feng, Hua Li, and Qihe Zhao. "Research on Multi-Feature Intelligent Prenatal Fetal Monitoring Algorithm Based on the PSO-RF Model." In 2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML). IEEE, 2025. https://doi.org/10.1109/cacml64929.2025.11010946.

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Batista, Lucas L. C., Lucas M. Rufini, and José M. A. Junior. "Uso de Metaheurísticas para projeto de controladores industriais PID em sistema de controle de velocidade." In Escola Regional de Computação do Ceará, Maranhão e Piauí. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/ercemapi.2024.243758.

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Metaheurísticas são algoritmos de otimização capazes de encontrar soluções sub-ótimas em pouco tempo, com aplicações em Potência, Comunicações e Controle de processos industriais. Este trabalho apresenta o desempenho de metaheurísticas do tipo Algoritmo de Enxame de Partículas (PSO), sua variante acelerada (APSO) e Algoritmo Firefly (FA) aplicados na otimização do projeto dos parâmetros de um controlador PID utilizado em um processo industrial didático de controle de velocidade. Os controladores PID projetados por metaheurísticas foram comparados a controladores clássicos e obtiveram melhores
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Nguyen, Thanh-Trung, Van-Huy Nguyen, and Xuan-Huong Nguyen. "Comparing the Results of Applying DE, PSO and Proposed Pro DE, Pro PSO Algorithms for Inverse Kinematics Problem of a 5-DOF Scara Robot." In 2020 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2020. http://dx.doi.org/10.1109/icamechs49982.2020.9310157.

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Reports on the topic "Algoritmus PSO"

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Maffioli, Alessandro, Carolyn Heinrich, and Gonzalo Vázquez. A Primer for Applying Propensity-Score Matching. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0008567.

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This document provides a guide to the key aspects of implementing Propensity-Score Matching (PSM) methodology. It summarizes the basic conditions under which PSM can be used to estimate the impact of a program and the data required, presenting examples of PSM applications. It explains how the Conditional Independence Assumption, combined with the Overlap Condition, reduces selection bias when participation in a program is determined by observable characteristics. It also describes different matching algorithms and some tests to assess the quality of the matching.
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Patiño Martínez, Francy Yaneth, Carlos Ignacio Torres Londoño, and Piedad Chica Sosa. Elaboración de diagramas de flujo con estructuras repetitivas y arreglos. Ediciones Universidad Cooperativa de Colombia, 2023. http://dx.doi.org/10.16925/gcgp.102.

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Este documento se elaboró con el objetivo de proporcionar al lector una guía detallada que lo oriente en el diseño de algoritmos, expresados en diagrama de flujo, que requieran ciclos repetitivos y almacenamiento de datos en arreglos. Aquí encontrará las explicaciones de los conceptos relacionados con las estructuras repetitivas y los arreglos, su simbología y la notación estándar utilizada para su elaboración. Se proporcionan algunas herramientas de software útiles para la creación de estos diagramas. Finalmente, se especifica el proceso paso a paso para su elaboración y se propon
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Saltus, Christina, Molly Reif, and Richard Johansen. waterquality for ArcGIS Pro Toolbox. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42240.

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Monitoring water quality of small inland lakes and reservoirs is a critical component of USACE water quality management plans. However, limited resources for traditional field-based monitoring of numerous lakes and reservoirs that cover vast geographic areas often leads to reactional responses to harmful algal bloom (HAB) outbreaks. Satellite remote sensing methodologies using HAB indicators is a good low-cost option to traditional methods and has been proven to maximize and complement current field-based approaches while providing a synoptic view of water quality (Beck et al. 2016; Beck et al
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Madera Arends, Roberto, Antonio Vazquez Brust, Fernando Bercovich, et al. URSA: una herramienta para guiar la planificación urbana con datos satelitales. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013065.

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Este material de aprendizaje presenta URSA (Urban Reporting based on Satellite Analysis), una herramienta de código abierto diseñada para ayudar a los planificadores urbanos a diagnosticar sus ciudades y predecir tendencias futuras. Permite acceder fácilmente a la enorme cantidad de información capturada por los sensores satelitales, encargándose de recolectar, procesar y presentar información clave sobre la evolución de las ciudades en América Latina y el Caribe. Las principales funciones de URSA se explican en el contexto de abordar los problemas de la expansión urbana y las islas de calor u
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Saltus, Christina, Molly Reif, and Richard Johansen. waterquality for ArcGIS Pro Toolbox : user's guide. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45362.

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Monitoring water quality of small inland lakes and reservoirs is a critical component of the US Army Corps of Engineers (USACE) water quality management plans. However, limited resources for traditional field-based monitoring of numerous lakes and reservoirs covering vast geographic areas often leads to reactional responses to harmful algal bloom (HAB) outbreaks. Satellite remote sensing methodologies using HAB indicators is a good low-cost option to traditional methods and has been proven to maximize and complement current field-based approaches while providing a synoptic view of water qualit
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Labunskaya, A. D., B. A. Mukhin, P. G. Kolyadin, V. A. Kosyrev, E. A. Chepurnaya, and A. L. Shevchenko. The model of optimal allocation of resources of the warring parties on the basis of genetic algorithms (MOPP PS). OFERNIO, 2020. http://dx.doi.org/10.12731/ofernio.2020.24495.

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Ekegren, Michael, and Sandra LeGrand. Incorporating terrain roughness into helicopter landing zone site selection by using the Geomorphic Oscillation Assessment Tool (GOAT) v1.0. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42162.

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The Geomorphic Oscillation Assessment Tool (GOAT) quantifies terrain roughness as a mechanism to better explain forward arming and refueling point (FARP) suitability for Army aviation. An empirically driven characteristic of FARP consideration, surface roughness is a key discriminator for site utility in complex terrain. GOAT uses a spatial sampling of high-resolution elevation and land cover data to construct data frames, which enable a relational analysis of component and aggregate site suitability. By incorporating multiple criteria from various doctrinal sources, GOAT pro-duces a composite
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Elacqua, Gregory, Isabel Jacas, Thomas Krussig, et al. Sistemas centralizados de asignación escolar: guía de implementación. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003362.

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En el último tiempo, gracias al desarrollo de la literatura de algoritmos de asignación y emparejamiento, se comenzó a expandir el uso de sistemas centralizados de asignación de cupos para estudiantes, tanto para solucionar los problemas que se generan en los procesos tradicionales de matrícula, como para hacerlos más transparentes, eficientes y equitativos. Sin embargo, la mayoría de los países todavía posee sistemas descentralizados, los cuales son una suerte de caja negra para las familias e incluso para los gobiernos. En ese sentido, esta guía entrega una mirada general acerca de cómo impl
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RESEARCH ON DATA-DRIVEN INTELLIGENT DESIGN METHOD FOR ENERGY DISSIPATOR OF FLEXIBLE PROTECTION SYSTEMS. The Hong Kong Institute of Steel Construction, 2024. https://doi.org/10.18057/ijasc.2024.20.4.6.

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The brake ring, an essential buffer and energy dissipator within flexible protection systems for mitigating dynamic impacts from rockfall collapses, presents notable design challenges due to its significant deformation and strain characteristics. This study introduces a highly efficient and precise neural network model tailored for the design of brake rings, utilizing BP neural networks in conjunction with Particle Swarm Optimization (PSO) algorithms. The paper studies the key geometric parameters, including ring diameter, tube diameter, wall thickness, and aluminum sleeve length, with perform
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