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Relevant bibliographies by topics / PSO tuning

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Academic literature on the topic 'PSO tuning'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "PSO tuning"

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Indra Gunawan, Enggal, Machrus Ali, and Hidayatul Nurohmah. "Optimasi Thermal Oil Heater Menggunakan PSO Sebagai Tunning PID Controller." Nucleus Journal 1, no. 2 (2022): 53–64. http://dx.doi.org/10.32492/nucleus.v1i2.43.

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Optimasi Optimization of the auto temperature control system on the thermal oil heater system using PSO as a PID Controller tunning. Making a PSO-based Simulink tuning PID controller for thermal oil heater temperature in the 2013a Matlab program. Thermal oil heater simulation using PSO as a PID Controller tunning is the best result among other design methods. With kp = 2,057, ki = 1.337, kd = 0.148, we get an overshot value of = 0.002, undershot = 0, at a settling time of 4.521 seconds. This shows that the PID-PSO controller is the best method with the smallest overshot at 0.002, the smallest

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Sule, Aliyu Hamza, Ahmad Safawi Mokhtar, Jasrul Jamani Bin Jamian, Attaullah Khidrani, and Raja Masood Larik. "Optimal tuning of proportional integral controller for fixed-speed wind turbine using grey wolf optimizer." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 5251. http://dx.doi.org/10.11591/ijece.v10i5.pp5251-5261.

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The need for tuning the PI controller is to improve its performance metrics such as rise time, settling time and overshoot. This paper proposed the Grey Wolf Optimizer (GWO) tuning method of a Proportional Integral (PI) controller for fixed speed Wind Turbine. The objective is to overcome the limitations in using the PSO and GA tuning methods for tuning the PI controller, such as quick convergence occurring too soon into a local optimum, and the controller step input response. The GWO, the Particle Swarm Optimization (PSO), and the Genetic Algorithm (GA) tuning methods were implemented in the

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Aliyu, Hamza Sule, Safawi Mokhtar Ahmad, Jamani Bin Jamian Jasrul, Khidrani Attaullah, and Masood Larik Raja. "Optimal tuning of proportional integral controller for fixed-speed wind turbine using grey wolf optimizer." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 5251–61. https://doi.org/10.11591/ijece.v10i5.pp5251-5261.

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The need for tuning the PI controller is to improve its performance metrics such as rise time, settling time and overshoot. This paper proposed the Grey Wolf Optimizer (GWO) tuning method of a Proportional Integral (PI) controller for fixed speed Wind Turbine. The objective is to overcome the limitations in using the Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) tuning methods for tuning the PI controller, such as quick convergence occurring too soon into a local optimum, and overshoot of the controller step input response. The GWO, the PSO, and the GA tuning methods were implem

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Şenol, Bilal, and Uğur Demiroğlu. "Optimizing PI Controller for Stability and Overshoot in Step Response Using GA and PSO Techniques, A Comparative Study." International Scientific and Vocational Studies Journal 9, no. 1 (2025): 12–23. https://doi.org/10.47897/bilmes.1578027.

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In this paper, we present a comprehensive and in-depth investigation on the optimization of Proportional-Integral (PI) controller tuning for achieving stability and desired overshoot in the step response. The main objective of this study is to compare the effectiveness of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) techniques in finding the optimal parameters for the PI controller. The PI controller is a widely used control algorithm that plays a crucial role in many industrial processes. Its tuning greatly affects the system's performance, particularly in terms of stability a

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Abdurrakhman, Arief, Lilik Sutiarso, Makhmudun Ainuri, Mirwan Ushada, and Md Parvez Islam. "Design of a Pressure Control System in Biogas Reactor Based on PID Controller with Ziegler-Nichols and Auto Tuning PSO." Jurnal Otomasi Kontrol dan Instrumentasi 16, no. 2 (2024): 104–16. http://dx.doi.org/10.5614/joki.2024.16.2.5.

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Biogas, an eco-friendly energy source, significantly reduces greenhouse gas emissions by converting organic waste or biomass into methane. However, the quality of biogas, primarily determined by methane content and pressure variables, directly impacts its efficiency and safety. This study, which aims to design a pressure control system and monitor methane gas levels in a biogas reactor using a PID Controller with Particle Swarm Optimization (PSO), provides crucial insights into improving biogas production efficiency and safety. Tests were conducted on a fixed dome-type biogas reactor in the Ea

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Machrus Ali, Hidayatul Nurohmah, Rukslin, Dwi Ajiatmo, and M Agil Haikal. "Hybrid Design Optimization of Heating Furnace Temperature using ANFIS-PSO." Journal FORTEI-JEERI 1, no. 2 (2020): 35–42. http://dx.doi.org/10.46962/forteijeeri.v1i2.21.

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-- Intelligent control design for industrial heating furnace temperature control is indispensable. PID, Fuzzy, and ANFIS controllers have been proven reliable and have been widely used. However, it is constrained in choosing a better gain controller. Then an approach method is given to determine the most appropriate controller gain value using the artificial intelligence tuning method. The artificial intelligence method used is a combination of the Adaptive Neuro Fuzzy Inference System and Particle Swarm Optimization (ANFIS-PSO) methods. As a comparison, several methods were used, namely; Conv

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Cheng, Tao, Wei Xing Lin, and Wen Lei Li. "PID Control of Double-Loop Speed Control System Based on Bacteria-Particle Swarm Hybrid Optimization Algorithm." Applied Mechanics and Materials 241-244 (December 2012): 1850–54. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1850.

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In order to improve the performance of dual-loop speed control system and overcome the defect of the traditional PID controller parameter tuning, a hybrid algorithm(BF-PSO) of Bacterial Foraging Optimization (BFO) algorithm and Particle Swarm Optimization(PSO) algorithm is proposed in this paper, and applied to PID parameter tuning of the double-loop speed control system. This algorithm combines the fast convergence characteristics of PSO and strong global search ability of BFO. Compared with the simulation results of the PSO and BFO, BF-PSO has better speed tracking performance, and higher co

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Suryatini, Fitria, Adhitya Sumardi Sunarya, and Qisthon Khairul ‘Amilin. "Optimasi kendali PID kecepatan motor DC dengan metode tuning particle swarm optimization." JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) 5, no. 1 (2025): 57–66. https://doi.org/10.35313/jitel.v5.i1.2025.57-66.

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Motor DC merupakan aktuator elekromagnetik yang mengubah energi listrik menjadi energi mekanik dan banyak digunakan dalam industri. Meskipun kecepatan putarnya dapat dikendalikan dengan mudah, performa sistem harus tetap dijaga agar optimal. Proportional-Integral-Derivative (PID) merupakan salah satu metode yang sering digunakan dalam pengendalian motor DC. Namun, tantangan utama dalam metode PID adalah tuning (penyetelan) parameter, yaitu menentukan nilai Kp, Ki, dan Kd agar menghasilkan performa yang optimal. Dalam penelitian ini, penyetelan parameter PID dilakukan menggunakan algoritma Part

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Deepa D. "Contextual Sentiment Boosting through Lexicon Masking and Transformer Fine-Tuning." Journal of Information Systems Engineering and Management 10, no. 44s (2025): 78–90. https://doi.org/10.52783/jisem.v10i44s.8571.

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Introduction: In today's advert environment sentiment analysis plays critical for gathering insights from consumer perspectives. Typical machine learning models rely on predefined features which might struggle with feature weighting, neglect important comments and misunderstand word meanings particular to a certain domain especially when applied to small datasets. Objectives: This study aims to overwhelm the boundaries of traditional sentiment analysis by enhancing feature representation and leveraging deep learning. Also it focusses on improving the extraction of sentiment-related features, d

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Pano, V., and P. R. Ouyang. "Gain tuning of position domain PID control using particle swarm optimization." Robotica 34, no. 6 (2014): 1351–66. http://dx.doi.org/10.1017/s0263574714002331.

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SUMMARYParticle swarm optimization (PSO) is a heuristic optimization algorithm and is commonly used for the tuning of PD/PID-type controllers. In this paper, PSO is applied for control gain tuning of a position domain PID controller in order to improve contour tracking performances of linear and nonlinear contours for a serial multi-DOF robotic manipulator. A new fitness function is proposed for gain tuning based on the statistics of the contour error, and pre-existed fitness functions are also applied for the optimization process, followed by some comparison studies. The PSO tuning technique

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Dissertations / Theses on the topic "PSO tuning"

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K, Vinida. "Optimal Tuning of H Infinity Speed Controller for Sensorless BLDC Motor using PSO and its Simulation Study in Underwater Applications." Thesis, Cochin University of Science and Technology, 2018. https://shodhganga.inflibnet.ac.in/handle/10603/284878.

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Aguilar, Milton Ernesto Barrios. "Sintonia dos controladores para aerogeradores de velocidade variável com geradores de indução de dupla alimentação utilizando um algoritmo meta-heurístico de inteligência coletiva." Universidade Estadual do Oeste do Parana, 2016. http://tede.unioeste.br:8080/tede/handle/tede/1036.

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Made available in DSpace on 2017-07-10T16:41:35Z (GMT). No. of bitstreams: 1 Dissert Milton Ernesto Barrios Aguilar 3.pdf: 9539969 bytes, checksum: 3ccd249e45fb24533b33236925ee74dc (MD5) Previous issue date: 2016-08-04<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The increase in wind power integration into power systems is currently a general trend in many countries and the Variable-Speed Wind Turbine (VSWT) Equipped with a Doubly Fed Induction Generator System with back-to-back power converters are most often used for this purpose. There is the need for its control s

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Pobuda, Tomáš. "Ladění a testování databázových systémů pro potřeby digitálního archivu SAFE." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-165222.

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Thesis deal with tuning of database Oracle, which is used by digital archive SAFE. In the concrete deal with setting parameters of database. It is divided to three parts. In first part it characterizes factors that influence performance of database. In second part it describes possibilities of tuning and setting Oracle database. In third part it is first introduced digital archive SAFE, after that it is chosen suitable testing tool for workload generation and described test scenarios and last are performed tests and compared results at different database database settings. Goal of thesis is de

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Jeřábek, Vojtěch. "Systém automatického ladění pro sedmistrunné kytary." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-318192.

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The thesis describes a realization of the automatic self tuning system for sevenstring guitars. There are comparisons of commercial and uncommercial solutions for six-string guitars. There is also evaluation of useful parts for seven-string guitars. Thesis contains a description of a requirements for individual parts and a control software with respect on real guitar properties and used computing algorithm. In the second part of thesis, there is a description of final system design and its realisation including the control software. This is also related with testing of the entire system.

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Paštěka, Richard. "Integrace a testování real-time řídicí jednotky pro simulaci plic." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242052.

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Aktivní mechanický plicní simulátor (iLung) nabízí možnost simulace lidského dýchání. Cílem této práce je implementovat a otestovat řídící a akviziční systém cRIO pracující v reálném čase, jako řídící jednotku simulátoru. Výsledné propojení obou zařízení je zdokumentováno ve formě tabulek a původních osazovacích výkresů, které jsou doplněny o popis funkce každého pinu. Významného zlepšení bylo dosaženo laděním motoru a modifikací proporcionálně-integračního regulátoru v řídícím programu. Tyto modifikace mají za následek významné snížení oscilací v okolí nuly. Pro zvýšení využitelnosti a přístu

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Havlíček, Jiří. "Samonastavitelná regulace elektrického motoru." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316239.

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The diploma thesis deals with the self-tuning PSD controllers. The parameters of the model are obtained by a non-recurring method of least squares. With the assistance of the Matlab/Simulink programme, the individual processes of the PSD controller are compared on a second order system. In the thesis, a simulation of the self-tuning cascade control of PMSM‘s current and speed loop is created. The following part of the thesis covers the implementation of individual algorithms on the dSPACE platform for the real PMSM.

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Chrenka, Eduard. "Regulátor horkých vtoků pro vstřikovací formy plastu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240812.

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The thesis focuses on implementation of a hot runner controller for injection molds for plastic materials with a maximum number of 56 regulated zones. The first part of the thesis deals with already existing and used solutions of the given subject. The following part of the thesis describes the principles of temperature measurement by means of thermoelectric sensors, including their linearization as well as communication protocols MODBUS, EUROMAP 17. The identification of a regulated system ( heating zone) has been carried out before the hardware design. The development process is divided into

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Zara, Carolina. "Fine-tuning of intracellular redox state by pro-glutathione molecules modulates the cellular immune/inflammatory response to infections: in vivo and in vitro studies." Doctoral thesis, Urbino, 2020. http://hdl.handle.net/11576/2681328.

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Vorek, Jiří. "Knihovna stavebních prvků koaxiálního filtru pro CST Microwave Studio." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218608.

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This thesis deals with development of tool – macros which help to create coaxial cavity filters. It describes problematic design of complex structures at CST Studio Suite 2009. For this purpose macros supporting coarse and fine model to method Tuning – Space Mapping (TSM) was made. This means creating fine model at CST MWS and coarse model at CST DS.

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Harty, Michael Paul 1959. "SU SHIH'S "CHUNG YUNG LUN" (CONFUCIANISM, SUNG, POETS, SU TUNG-P'O, CHINA)." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/291847.

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Books on the topic "PSO tuning"

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Tim, Hawkins, and SpringerLink (Online service), eds. Pro PHP Application Performance: Tuning PHP Web Projects for Maximum Performance. Armando Padilla, Tim Hawkins, 2011.

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she, Liaoning ri bao. Dongbei ri bao jian shi. s.n., 1988.

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Paik, Soumendra. Pro Oracle 10g Performance Tuning (Pro). Apress, 2006.

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Garcia, Marcilina, and Edward Whalen. Microsoft SQL Server 2000(TM) Performance Tuning Technical Reference (Pro-Technical Refere). Microsoft Press, 2001.

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Fantl, Jeremy. Psychic Phenomena and the Existence of God. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198807957.003.0004.

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This chapter applies the conclusions of the previous chapters to two cases of controversial belief: atheistic belief and the denial of psychic phenomena (psi). In both cases, in line with so-called “phenomenal conservatism,” the felt obviousness—to the denier—of the non-existence of what they’re denying figures large in their knowledge, if they have it. In both cases, the deniers’ knowledge runs up counterarguments—for example, the fine tuning argument or meta-analyses of a number of controlled studies that purport to demonstrate the existence of psychic phenomena. But these arguments need not

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Guerra, Ana María Hernández. Crónica de Piel con Variaciones: El Paso de Spencer Tunick Por Caracas En 2006. Independently Published, 2020.

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Erin, Pobjie, Declercq Fanny, and van Steenberghe Raphaël. Part 1 The Cold War Era (1945–89), 33 The Israeli Raid Against the PLO Headquarters in Tunis—1985. Oxford University Press, 2018. http://dx.doi.org/10.1093/law/9780198784357.003.0033.

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This chapter examines the Israeli raid against the Palestine Liberation Organisation (PLO) headquarters in Tunis in 1985. It first sets out the facts and context of the raid, the positions of the main protagonists (Israel and Tunisia) and the reactions of third States and international organizations. The chapter then analyses the legal issues raised by the incident under international law as it stood at the time, and its impact on the jus ad bellum. The 1985 raid was an early example of a claimed right to exercise self-defence in response to attacks committed by non-state actors without those

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Book chapters on the topic "PSO tuning"

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Freire, Hélio F., Paulo B. de Moura Oliveira, Eduardo J. Solteiro Pires, and Maximino Bessa. "Many-Objective PSO PID Controller Tuning." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10380-8_18.

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Azar, Ahmad Taher, Hossam Hassan Ammar, Zahra Fathy Ibrahim, Habiba A. Ibrahim, Nada Ali Mohamed, and Mazen Ahmed Taha. "Implementation of PID Controller with PSO Tuning for Autonomous Vehicle." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31129-2_27.

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Ugolotti, Roberto, and Stefano Cagnoni. "Multi-objective Parameter Tuning for PSO-based Point Cloud Localization." In Communications in Computer and Information Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12745-3_7.

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Estevez, Julian, and Manuel Graña. "Robust Control Tuning by PSO of Aerial Robots Hose Transportation." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18833-1_31.

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Kim, Dong Hwa, and Jin Ill Park. "Intelligent PID Controller Tuning of AVR System Using GA and PSO." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11538356_38.

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Zidan, Ahmed, Svenja Tappe, and Tobias Ortmaier. "Auto-tuning of PID Controllers for Robotic Manipulators Using PSO and MOPSO." In Informatics in Control, Automation and Robotics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11292-9_17.

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Petchinathan, G., G. Saravanakumar, K. Valarmathi, and D. Devaraj. "Hybrid PSO - Bacterial Foraging Based Intelligent PI Controller Tuning for pH Process." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27443-5_59.

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Chang, Yanchun, Feng Pan, Junyi Shu, Weixing Li, and Qi Gao. "A Novel Control Approach: Combination of Self-tuning PID and PSO-Based ESO." In Advances in Swarm and Computational Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20472-7_21.

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de Prado, Rocio Perez, Jose Enrique Munoz-Exposito, Sebastian Garcia-Galan, C. Mora Garcia, and Adam Marchewka. "Power Consumption Optimization in Datacenters Using PSO Tuning in Fuzzy Rule-Based Systems." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47274-4_32.

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Nagpal, Jyoti, and Lavika Goel. "DAMPSO: Dynamic Accelerated Memory-Based PSO for Hyperparameter Tuning of Plant Disease Classifiers." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6036-7_25.

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Conference papers on the topic "PSO tuning"

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Tang, Xiaojie, Chengfen Jia, and Zhengyang He. "CLPSO: An Improved PSO Algorithm and its Application to PID Parameter Tuning." In 2024 4th International Conference on Electronic Information Engineering and Computer (EIECT). IEEE, 2024. https://doi.org/10.1109/eiect64462.2024.10867091.

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Zhu, Yanyan, Yanqiu He, and Keyuan Li. "A PLC Parameter Self-Tuning Method Based on Particle Swarm Optimization (PSO) Algorithm." In 2024 International Conference on Telecommunications and Power Electronics (TELEPE). IEEE, 2024. http://dx.doi.org/10.1109/telepe64216.2024.00034.

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Herrera, Marco, Diego Benítez, and Oscar Camacho. "Tuning PSO-Based Dynamic Sliding Mode Control for Thermal Process with Long-time Delay." In 2024 IEEE Eighth Ecuador Technical Chapters Meeting (ETCM). IEEE, 2024. http://dx.doi.org/10.1109/etcm63562.2024.10746030.

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Abad, Julio César Zambrano, and Marco Alexander Carpio Alemán. "Intelligent tuning of PID controllers: Comprehensive approach based on modified Particle Swarm Optimization (PSO) algorithm." In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2024. https://doi.org/10.1109/iecon55916.2024.10905779.

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Ugolotti, Roberto, and Stefano Cagnoni. "Automatic Tuning of Standard PSO Versions." In GECCO '15: Genetic and Evolutionary Computation Conference. ACM, 2015. http://dx.doi.org/10.1145/2739482.2764706.

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Nema, Swapnil, and Prabin K. Padhy. "PSO based PID tuning TITO process." In 2012 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2012. http://dx.doi.org/10.1109/iccic.2012.6510215.

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Akihiro Oi, Chikashi Nakazawa, Tetsuro Matsui, et al. "Development of PSO-based PID tuning method." In 2008 International Conference on Control, Automation and Systems (ICCAS). IEEE, 2008. http://dx.doi.org/10.1109/iccas.2008.4694410.

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Medewar, P. G., and R. K. Munje. "PSO based PID controller tuning for PMDC motor." In 2015 International Conference on Energy Systems and Applications. IEEE, 2015. http://dx.doi.org/10.1109/icesa.2015.7503404.

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Sarah Pontes Madruga, Augusto de Holanda Barreto Martins Tavares, Gabriel F. Basso, Tiago Pereira do Nascimento, and Alisson Brito. "A PSO-BASED TUNING ALGORITHM FOR QUADCOPTER CONTROLLERS." In XXII Congresso Brasileiro de Automática. SBA Sociedade Brasileira de Automática, 2018. http://dx.doi.org/10.20906/cps/cba2018-0064.

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Pano, V., and P. R. Ouyang. "PSO gain tuning for position domain PID controller." In 2014 IEEE 4th Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2014. http://dx.doi.org/10.1109/cyber.2014.6917493.

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