Relevant bibliographies by topics / PSO

Academic literature on the topic 'PSO'

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Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "PSO"

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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 (November 19, 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 modeling with nonlinear programming (FP-NLP). Our results show that ANN-PSO and PPO achieve profits nearly as high as FP-NLP, but PPO achieves slightly higher profits compared to ANN-PSO. We also find PPO has the fastest computational times, 10 and 10,000 times faster than FP-NLP and ANN-PSO, respectively. However, PPO requires more training data than ANN-PSO to converge to an optimal policy. This case study suggests PPO has better performance as it achieves higher profits and faster online computational times. ANN-PSO shows better applicability with its capability to train on historical operational data and higher training efficiency.
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Mills, Emily S., Kevin Mertz, Ethan Faye, Jennifer A. Bell, Andy T. Ton, Jeffrey C. Wang, Ram K. Alluri, and Raymond J. Hah. "Complication Rates and Utilization Trends of 3-Level Posterior Column Osteotomy Compared to Single-Level Pedicle Subtraction Osteotomy." Neurospine 20, no. 2 (June 30, 2023): 662–68. http://dx.doi.org/10.14245/ns.2346222.111.

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Objective: The objective of this study is to assess differences in complication profiles between 3-level posterior column osteotomy (PCO) and single-level pedicle subtraction osteotomy (PSO) as both are reported to provide similar degrees of sagittal correction.Methods: The PearlDiver database was queried retrospectively using International Classification of Disease, 9th and 10th edition and Current Procedural Terminology codes to identify patients who underwent PCO or PSO for degenerative spine disease. Patients under age 18 or with history of spinal malignancy, infection, or trauma were excluded. Patients were separated into 2 cohorts, 3-level PCO or single-level PSO, matched at a 1:1 ratio based on age, sex, Elixhauser comorbidity index, and number of fused posterior segments. Thirtyday systemic and procedure-related complications were compared.Results: Matching resulted in 631 patients for each cohort. PCO patients had decreased odds of respiratory (odds ratio [OR], 0.58; 95% confidence interval [CI], 0.43–0.82; p = 0.001) and renal complications (OR, 0.59; 95% CI, 0.40–0.88; p = 0.009) compared to PSO patients. There was no significant difference in cardiac complications, sepsis, pressure ulcer, dural tear, delirium, neurologic injuries, postoperative hematoma, postoperative anemia, or overall complications.Conclusion: Patients who undergo 3-level PCO have decreased respiratory and renal complications compared to single-level PSO. No differences were found in the other complications studied. Considering both procedures achieve similar sagittal correction, surgeons should be aware that 3-level PCO offers an improved safety profile compared to single-level PSO.
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Lourenço, Nuno, and Francisco Baptista Pereira. "PSO-CGO." International Journal of Natural Computing Research 2, no. 1 (January 2011): 1–20. http://dx.doi.org/10.4018/jncr.2011010101.

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In this paper the authors present PSO-CGO, a novel particle swarm algorithm for cluster geometry optimization. The proposed approach combines a steady-state strategy to update solutions with a structural distance measure that helps to maintain population diversity. Also, it adopts a novel rule to update particles, which applies velocity only to a subset of the variables and is therefore able to promote limited modifications in the structure of atomic clusters. Results are promising, as PSO-CGO is able to discover all putative global optima for short-ranged Morse clusters between 30 and 50 atoms. A comprehensive analysis is presented and reveals that the proposed components are essential to enhance the search effectiveness of the PSO.
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Tran, Hai Nguyen. "Differences between Chemical Reaction Kinetics and Adsorption Kinetics: Fundamentals and Discussion." Journal of Technical Education Science, no. 70B (June 28, 2022): 33–47. http://dx.doi.org/10.54644/jte.70b.2022.1154.

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Adsorption kinetics is an essential part in adsorption studies. The pseudo-first-order (PFO) and pseudo-second-order (PSO) models are frequently used to model the experimental dataset of time-dependent adsorption. The differential equations (based on reaction rate and rate law) of the PFO and PSO models are similar to those of chemical reactions (i.e., first and second order-kinetic reactions). The adsorption kinetics is illustrated through the plot of qt (the amount of adsorbate adsorbed by adsorbent at time t) vs. time. This plot includes two important regions (kinetic and equilibrium). The adsorption rate constant (k1(PFO) or k2(PSO), respectively) of the PFO or PSO models needs to be calculated from two regions. The appropriate selection of initial adsorbate concentrations for studying adsorption kinetics should be based on adsorption isotherm to ensure that adsorption sites in adsorbent (material) are highly (nearly fully) covered by adsorbate (solute). Only in this case, the rate constant of the adsorption is accurately obtained.
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Dynhora-Danheyda, Ramírez-Ochoa, Pérez-Domínguez Luis Asunción, and Martínez-Gómez Erwin Adán. "Comparison of PSO with the Hybrid Algorithms MOORA-PSO and DA-PSO for Decision Making." Advances in Modelling and Analysis B 66, no. 1-4 (October 17, 2023): 26–30. http://dx.doi.org/10.18280/ama_b.661-404.

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Gottlieb, Alice B., April W. Armstrong, Joseph F. Merola, Andrew Napoli, Miroslawa Nowak, Subhashis Banerjee, Thomas Lehman, and Philip J. Mease. "Impact of Oral, Selective, Allosteric Tyrosine Kinase 2 Inhibitor, Deucravacitinib, on Psoriasis in Patients with Active Psoriatic Arthritis: Results from a Phase 2 Trial." SKIN The Journal of Cutaneous Medicine 8, no. 2 (March 18, 2024): s383. http://dx.doi.org/10.25251/skin.8.supp.383.

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Introduction: Deucravacitinib (DEUC), an oral, selective, allosteric tyrosine kinase 2 inhibitor, is approved in the US, EU, and other countries for treatment of adults with moderate-to-severe plaque psoriasis (PsO) who are candidates for systemic therapy. DEUC was superior to apremilast and placebo (PBO) in two phase 3 trials in patients with moderate to severe PsO. DEUC was efficacious on multiple measures of arthritis severity vs PBO in a phase 2 trial in patients with active psoriatic arthritis (PsA) who had ≥1 PsO lesion (≥2 cm). In patients with body surface area (BSA) involvement ≥3% at baseline (80% of patients in this trial), a greater proportion achieved PASI 75 with DEUC (6 mg QD: 42.4%, P=0.01; 12 mg QD: 59.6%, P<0.0001) vs PBO (20.4%) at Week 16. This analysis evaluated the impact of DEUC on PsO in patients with PsA in the phase 2 trial (NCT03881059). Methods: The phase 2 double-blind PsA trial randomized patients (N=203) 1:1:1 to PBO, DEUC 6 mg once daily (QD), or DEUC 12 mg QD. After Week 16, patients could enroll in an optional, double-blind period until Week 52. DEUC-treated patients achieving minimal disease activity at Week 16 continued DEUC to Week 52. PsO disease activity measurements were assessed. Results: Baseline PsO characteristics were comparable across groups. At Week 16, significant decreases from baseline in mean PASI were observed with DEUC vs PBO in patients with baseline BSA ≥3%-<10% or PASI ≤12 even with very low baseline PASI scores, and also in those with baseline BSA ≥10% and PASI >12. Significant decreases in PASI from baseline were observed with DEUC vs PBO in patients with background csDMARD use (DEUC 6 mg, -4.0 and 12 mg, -4.9 vs PBO, -2.3; both P<0.05) and those without csDMARD use (-3.7 and -4.0 vs -2.5, respectively; both P<0.001). At Week 16, greater proportions of DEUC vs PBO patients achieved PASI ≤1 with baseline BSA ≥3% (DEUC 6 mg: 32.2%; DEUC 12 mg: 44.2%; PBO: 18.5%) and in patients with baseline BSA ≥10% and PASI >12 (23.1%; 28.6%; 0.0%). In patients with baseline BSA ≥3%, decreases in mean PASI at Week 16 were maintained through Week 52 in patients continuing DEUC 6 mg (absolute PASI score, Week 16: 2.39, Week 52: 1.22) and 12 mg (Week 16: 0.64, Week 52: 0.24). Conclusion: DEUC significantly improved PsO in patients with PsA, regardless of baseline PsO severity and background csDMARD use. Improvement was comparable to that observed in the phase 3 POETYK PSO-1 trial.
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Quezada Aguilar, Victor, José Carlos Quezada Quezada, Myriam Coronado Meneses, Josefina Rodríguez Torres, and Ernesto Flores García. "PSO PSO, Herramienta de Optimización en el Área Turística." Boletín Científico INVESTIGIUM de la Escuela Superior de Tizayuca 5, no. 9 (July 5, 2019): 1–5. http://dx.doi.org/10.29057/est.v5i9.3883.

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Las ciencias administrativas presentan problemáticas de carácter complejo donde se requiere de herramientas especificas que permitan obtener soluciones factibles garantizando la mejor o las mejores soluciones. La optimización es uno de los problemas con mayor frecuencia y que hasta hace unos años se habían resuelto con técnicas tradicionales, sin embargo este tipo de técnicas están enfocadas en optimizar un solo objetivo. El avance tecnológico ha permitido el desarrollo de numerosos métodos de optimización reduciendo tiempo de análisis, optimización de más de un objetivo, obtención de una gama de soluciones optimas, entre otras características. Durante el desarrollo del artículo se expone la importancia económica que tiene la localización correcta de un centro de distribución (CEDIS) en una región turística. La optimización de la función objetivo utilizada en la ubicación del CEDIS se realiza por el método PSO (Particle Swarm Optimization), método de optimización considerado de nueva generación.
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Fernández Martínez, J. L., and E. García Gonzalo. "The Generalized PSO: A New Door to PSO Evolution." Journal of Artificial Evolution and Applications 2008 (May 12, 2008): 1–15. http://dx.doi.org/10.1155/2008/861275.

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A generalized form of the particle swarm optimization (PSO) algorithm is presented. Generalized PSO (GPSO) is derived from a continuous version of PSO adopting a time step different than the unit. Generalized continuous particle swarm optimizations are compared in terms of attenuation and oscillation. The deterministic and stochastic stability regions and their respective asymptotic velocities of convergence are analyzed as a function of the time step and the GPSO parameters. The sampling distribution of the GPSO algorithm helps to study the effect of stochasticity on the stability of trajectories. The stability regions for the second-, third-, and fourth-order moments depend on inertia, local, and global accelerations and the time step and are inside of the deterministic stability region for the same time step. We prove that stability regions are the same under stagnation and with a moving center of attraction. Properties of the second-order moments variance and covariance serve to propose some promising parameter sets. High variance and temporal uncorrelation improve the exploration task while solving ill-posed inverse problems. Finally, a comparison is made between PSO and GPSO by means of numerical experiments using well-known benchmark functions with two types of ill-posedness commonly found in inverse problems: the Rosenbrock and the “elongated” DeJong functions (global minimum located in a very flat area), and the Griewank function (global minimum surrounded by multiple minima). Numerical simulations support the results provided by theoretical analysis. Based on these results, two variants of Generalized PSO algorithm are proposed, improving the convergence and the exploration task while solving real applications of inverse problems.
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Kumar, Sanjeev, and Amarjeet Prajapati. "PSO-MoSR: a PSO-based multi-objective software remodularisation." International Journal of Bio-Inspired Computation 15, no. 4 (2020): 254. http://dx.doi.org/10.1504/ijbic.2020.10030551.

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Prajapati, Amarjeet, and Sanjeev Kumar. "PSO-MoSR: a PSO-based multi-objective software remodularisation." International Journal of Bio-Inspired Computation 15, no. 4 (2020): 254. http://dx.doi.org/10.1504/ijbic.2020.108593.

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Dissertations / Theses on the topic "PSO"

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Krézek, Vladimír. "Akcelerace částicových rojů PSO pomocí GPU." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-235471.

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This work deals with the PSO technique (Particle Swarm Optimization), which is capable to solve complex problems. This technique can be used for solving complex combinatorial problems (the traveling salesman problem, the tasks of knapsack), design of integrated circuits and antennas, in fields such as biomedicine, robotics, artificial intelligence or finance. Although the PSO algorithm is very efficient, the time required to seek out appropriate solutions for real problems often makes the task intractable. The goal of this work is to accelerate the execution time of this algorithm by the usage of Graphics processors (GPU), which offers higher computing potential while preserving the favorable price and size. The boolean satisfiability problem (SAT) was chosen to verify and benchmark the implementation. As the SAT problem belongs to the class of the NP-complete problems, any reduction of the solution time may broaden the class of tractable problems and bring us new interesting knowledge.
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Záň, Drahoslav. "Akcelerace částicových rojů PSO pomocí GPU." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236374.

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This thesis deals with a population based stochastic optimization technique PSO (Particle Swarm Optimization) and its acceleration. This simple, but very effective technique is designed for solving difficult multidimensional problems in a wide range of applications. The aim of this work is to develop a parallel implementation of this algorithm with an emphasis on acceleration of finding a solution. For this purpose, a graphics card (GPU) providing massive performance was chosen. To evaluate the benefits of the proposed implementation, a CPU and GPU implementation were created for solving a problem derived from the known NP-hard Knapsack problem. The GPU application shows 5 times average and almost 10 times the maximum speedup of computation compared to an optimized CPU application, which it is based on.
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Sergio, Anderson Tenório. "Otimização de Reservoir Computing com PSO." Universidade Federal de Pernambuco, 2013. https://repositorio.ufpe.br/handle/123456789/11498.

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Submitted by Daniella Sodre (daniella.sodre@ufpe.br) on 2015-03-09T14:34:23Z No. of bitstreams: 2 Dissertaçao Anderson Sergio.pdf: 1358589 bytes, checksum: fdd2a84a1ce8a69596fa45676bc522e4 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)
Made available in DSpace on 2015-03-09T14:34:23Z (GMT). No. of bitstreams: 2 Dissertaçao Anderson Sergio.pdf: 1358589 bytes, checksum: fdd2a84a1ce8a69596fa45676bc522e4 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2013-03-07
Reservoir Computing (RC) é um paradigma de Redes Neurais Artificiais com aplicações importantes no mundo real. RC utiliza arquitetura similar às Redes Neurais Recorrentes para processamento temporal, com a vantagem de não necessitar treinar os pesos da camada intermediária. De uma forma geral, o conceito de RC é baseado na construção de uma rede recorrente de maneira randômica (reservoir), sem alteração dos pesos. Após essa fase, uma função de regressão linear é utilizada para treinar a saída do sistema. A transformação dinâmica não-linear oferecida pelo reservoir é suficiente para que a camada de saída consiga extrair os sinais de saída utilizando um mapeamento linear simples, fazendo com que o treinamento seja consideravelmente mais rápido. Entretanto, assim como as redes neurais convencionais, Reservoir Computing possui alguns problemas. Sua utilização pode ser computacionalmente onerosa, diversos parâmetros influenciam sua eficiência e é improvável que a geração aleatória dos pesos e o treinamento da camada de saída com uma função de regressão linear simples seja a solução ideal para generalizar os dados. O PSO é um algoritmo de otimização que possui algumas vantagens sobre outras técnicas de busca global. Ele possui implementação simples e, em alguns casos, convergência mais rápida e custo computacional menor. Esta dissertação teve o objetivo de investigar a utilização do PSO (e duas de suas extensões – EPUS-PSO e APSO) na tarefa de otimizar os parâmetros globais, arquitetura e pesos do reservoir de um RC, aplicada ao problema de previsão de séries temporais. Os resultados alcançados mostraram que a otimização de Reservoir Computing com PSO, bem como com as suas extensões selecionadas, apresentaram desempenho satisfatório para todas as bases de dados estudadas – séries temporais de benchmark e bases de dados com aplicação em energia eólica. A otimização superou o desempenho de diversos trabalhos na literatura, apresentando-se como uma solução importante para o problema de previsão de séries temporais.
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Veselý, Filip. "Aplikace optimalizační metody PSO v podnikatelství." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2010. http://www.nusl.cz/ntk/nusl-222445.

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This work deals with two optimization problems, traveling salesman problem and cluster analysis. Solution of these optimization problems are applied on INVEA-TECH company needs. It shortly describes questions of optimization and some optimization techniques. Closely deals with swarm intelligence, strictly speaking particle swarm intelligence. Part of this work is recherché of variants of particle swarm optimization algorithm. The second part describes PSO algorithms solving clustering problem and traveling salesman problem and their implementation in Matlab language.
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Scarpa, Giulia <1991&gt. "PSO for CVaR-based Portfolio Selection." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/8970.

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In questo elaborato si intende proporre un nuovo modello di selezione di portafogli che utilizza il Conditional Value at Risk come misura del rischio finanziario, servendosi si una metaeuristica che concentra la ricerca della soluzione ottima nell’area più promettente dello spazio delle soluzioni: la Particle Swarm Optimization.
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Duhain, Julien Georges Omer Louis. "Particle swarm optimisation in dynamically changing environments - an empirical study." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/25875.

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Real-world optimisation problems often are of a dynamic nature. Recently, much research has been done to apply particle swarm optimisation (PSO) to dynamic environments (DE). However, these research efforts generally focused on optimising one variation of the PSO algorithm for one type of DE. The aim of this work is to develop a more comprehensive view of PSO for DEs. This thesis studies different schemes of characterising and taxonomising DEs, performance measures used to quantify the performance of optimisation algorithms applied to DEs, various adaptations of PSO to apply PSO to DEs, and the effectiveness of these approaches on different DE types. The standard PSO algorithm has shown limitations when applied to DEs. To overcome these limitations, the standard PSO can be modi ed using personal best reevaluation, change detection and response, diversity maintenance, or swarm sub-division and parallel tracking of optima. To investigate the strengths and weaknesses of these approaches, a representative sample of algorithms, namely, the standard PSO, re-evaluating PSO, reinitialising PSO, atomic PSO (APSO), quantum swarm optimisation (QSO), multi-swarm, and self-adapting multi-swarm (SAMS), are empirically analysed. These algorithms are analysed on a range of DE test cases, and their ability to detect and track optima are evaluated using performance measures designed for DEs. The experiments show that QSO, multi-swarm and reinitialising PSO provide the best results. However, the most effective approach to use depends on the dimensionality, modality and type of the DEs, as well as on the objective of the algorithm. A number of observations are also made regarding the behaviour of the swarms, and the influence of certain control parameters of the algorithms evaluated. Copyright
Dissertation (MSc)--University of Pretoria, 2012.
Computer Science
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Lång, Magnus. "Sound and Complete Reachability Analysis under PSO." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-213286.

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Modern multiprocessor systems use weak (relaxed) memory models in order to execute memory sharing multi-threaded code in an efficient manner, but are much harder for programmers to reason about than systems using the sequential consistency memory model. The SB abstraction and its implementation in the Memorax tool allows sound and complete checking of control state reachability under the TSO memory model, used in modern x86 processors. In this paper, I present a formalisation of the PSO memory model using the semantics of the Sun SPARC documentation and an alternate semantic, called Partial Write Serialisation, I conjecture to be equivalent with my formalisation under the control state reachability problem. PWS is proved to be a well-structured system which allows sound and complete reachability analysis. An implementation of PWS is presented  as part of the Memorax tool and demonstrated  experimentally to be capable of analysing reachability and inferring minimal fence sets on many non-trivial and real world examples in reasonable time and memory usage.
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Němeček, Patrik. "Optimalizační úlohy na bázi částicových hejn (PSO)." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236036.

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This work deals with particle swarm optimization. The theoretic part briefly describes the problem of optimization. The considerable part focuses on the overall description of particle swarm optimization (PSO). The principle, behavior, parameters, structure and modifications of PSO are described. The next part of the work is a recherché of variants of PSO, including hybridizations of PSO. In practical part the dynamic problems are analyzed and new designed algorithm for dynamic problems AHPSO is described (what it is based on, what was inspired, what elements are used and why). Algorithm is executed on the set of tasks (Moving peaks benchmark) and compared with the best publicly available variants of algorithm PSO on dynamic problems so far.
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Almasiri, osamah A. "SKIN CANCER DETECTION USING SVM-BASED CLASSIFICATION AND PSO FOR SEGMENTATION." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5489.

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Various techniques are developed for detecting skin cancer. However, the type of maligned skin cancer is still an open problem. The objective of this study is to diagnose melanoma through design and implementation of a computerized image analysis system. The dataset which is used with the proposed system is Hospital Pedro Hispano (PH²). The proposed system begins with preprocessing of images of skin cancer. Then, particle swarm optimization (PSO) is used for detecting the region of interest (ROI). After that, features extraction (geometric, color, and texture) is taken from (ROI). Lastly, features selection and classification are done using a support vector machine (SVM). Results showed that with a data set of 200 images, the sensitivity (SE) and the specificity (SP) reached 100% with a maximum processing time of 0.03 sec.
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Palangpour, Parviz Michael. "FFGA implementation of PSO algorithm and neural networks." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2010. http://scholarsmine.mst.edu/thesis/pdf/Palangpour_09007dcc8078a58e.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2010.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 8, 2010) Includes bibliographical references (p. 76-78).
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Books on the topic "PSO"

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Chumchon, Thailand Krom Kānphatthanā, ed. Sutyō̜t phalittphan dēn khō̜ng čhangwat =: Provincial star OTOP : PSO. [Bangkok]: Krom Kānphatthanā Chumchon, Krasūang Mahātthai, 2006.

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Colaboración: Lo mejor para su hijo : una guia paso-a-pso para trabajar mejor con médicos, escuelas, aseguradoras y agencias. Oak Ridge, TN: Melton Hill Media, 2012.

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Paganuzzi, Quirino. Pro papa Pio. 2nd ed. Roma: Nova Omicron, 1998.

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Žáček, Jiří. Rýmy pro kočku a pod psa. 2nd ed. Praha: Československý spisovatel, 1987.

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PlayStation Player's Guide. Maui, USA: Sandwich Islands Publishing, 1996.

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ill, Bour Daniel, and Delafosse Claude, eds. Pao pao. Taibei Shi: Li ke chu ban she, 1993.

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Cicero, Marcus Tullius. Pro Milone ; In Pisonem ; Pro Scauro ; Pro Fonteio ; Pro Rabirio Postumo ; Pro Marcello ; Pro Ligario ; Pro Rege Deiotaro. Cambridge, Mass: Harvard University Press, 2000.

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Nong, Fu. Shui pao pao. Hong Kong: Cosmos, 1996.

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S, Sayers Richard, Wargin Carol Eubanks, and Prentice-Hall inc, eds. Paso a paso. 2nd ed. Glenview, Ill: Prentice Hall, 2000.

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Company, Scott Foresman and, ed. Paso a paso. Glenview, Ill: ScottForesman, 1997.

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Book chapters on the topic "PSO"

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Gooch, Jan W. "PSO." In Encyclopedic Dictionary of Polymers, 595. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_9567.

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Hashemi, Ali B., and M. R. Meybodi. "Cellular PSO: A PSO for Dynamic Environments." In Advances in Computation and Intelligence, 422–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04843-2_45.

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Weng, Wei-Chung, Fan Yang, and Atef Elsherbeni. "OA-PSO Method." In Electromagnetics and Antenna Optimization Using Taguchi’s Method, 75–79. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01701-8_7.

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Mashwani, Wali Khan. "MOEA/D with DE and PSO: MOEA/D-DE+PSO." In Research and Development in Intelligent Systems XXVIII, 217–21. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2318-7_16.

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Bogon, Tjorben. "Dynamische Konfiguration der PSO." In Agentenbasierte Schwarmintelligenz, 79–98. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-02292-1_6.

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Wang, Feng-Sheng, and Li-Hsunan Chen. "Particle Swarm Optimization (PSO)." In Encyclopedia of Systems Biology, 1649–50. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_416.

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Badar, Altaf Q. H. "Different Applications of PSO." In Applying Particle Swarm Optimization, 191–208. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70281-6_11.

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Couceiro, Micael, and Pedram Ghamisi. "Fractional-Order Darwinian PSO." In Fractional Order Darwinian Particle Swarm Optimization, 11–20. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19635-0_2.

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Lundell, Björn, Jonas Gamalielsson, Andrew Katz, and Mathias Lindroth. "Perceived and Actual Lock-in Effects Amongst Swedish Public Sector Organisations When Using a SaaS Solution." In Lecture Notes in Computer Science, 59–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84789-0_5.

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AbstractWhen a public sector organisation (PSO) uses a software as a service (SaaS) solution from a global provider this imposes risks for different types of lock-in effects. In turn, use of such solutions by PSOs may prevent full control of digital assets that need to be created, processed, maintained, and archived for use and reuse over long life-cycles. This paper addresses perceived and actual lock-in effects related to use of SaaS solutions in the public sector. We review perceptions of lock-in amongst government agencies and investigate how 46 PSOs have addressed challenges related to obtaining licences and an effective exit plan related to use of the Microsoft Office 365 SaaS solution. Through a review of responses to a survey conducted by the Swedish Government Offices we find significant misconceptions concerning lock-in effects. We find that every one of the 46 PSOs investigated neither obtained necessary licences nor established an effective exit strategy to allow the PSO to independently access, process and maintain digital assets processed by the SaaS solution after decommissioning. We present recommendations for any PSO considering use of a SaaS solution.
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Kefi, Sonia, Nizar Rokbani, and Adel M. Alimi. "Impact of Ant Size on Ant Supervised by PSO, AS-PSO, Performances." In Advances in Intelligent Systems and Computing, 567–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52941-7_56.

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Conference papers on the topic "PSO"

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Zhou, Yun, Dries Vercruyce, and Dirk Stroobandt. "MODA-PSO." In FPGA '19: The 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3289602.3293959.

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Souza, Daniel Leal, Glauber Duarte Monteiro, Tiago Carvalho Martins, Victor Alexandrovich Dmitriev, and Otávio Noura Teixeira. "PSO-GPU." In the 13th annual conference companion. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2001858.2002114.

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Syed Abdullah, Sharifah Lailee, Naimah Mohd Hussin, Hazaruddin Harun, and Noor Elaiza Abd Khalid. "Comparative study of random-PSO and Linear-PSO algorithms." In 2012 International Conference on Computer & Information Science (ICCIS). IEEE, 2012. http://dx.doi.org/10.1109/iccisci.2012.6297280.

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Rada-Vilela, Juan, Mengjie Zhang, and Winston Seah. "Random Asynchronous PSO." In 2011 5th International Conference on Automation, Robotics and Applications (ICARA 2011). IEEE, 2011. http://dx.doi.org/10.1109/icara.2011.6144885.

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Veenhuis, Christian. "Advanced Meta-PSO." In 2006 Sixth International Conference on Hybrid Intelligent Systems. IEEE, 2006. http://dx.doi.org/10.1109/his.2006.264937.

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Anescu, George, and Ilie Prisecaru. "NSC-PSO, a Novel PSO Variant without Speeds and Coefficients." In 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2015. http://dx.doi.org/10.1109/synasc.2015.74.

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Hariya, Yosuke, Takuya Shindo, and Kenya Jin'no. "An improved rotationally invariant PSO: A modified standard PSO-2011." In 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2016. http://dx.doi.org/10.1109/cec.2016.7744012.

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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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Shaj, Vaisakh, P. M. Akhil, and S. Asharaf. "Edge-PSO: A recombination operator based PSO algorithm for solving TSP." In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2016. http://dx.doi.org/10.1109/icacci.2016.7732022.

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Rokbani, Nizar, Mohamed Slim, and Adel M. Alimi. "The Beta distributed PSO, β-PSO, with application to Inverse Kinematics." In 2021 National Computing Colleges Conference (NCCC). IEEE, 2021. http://dx.doi.org/10.1109/nccc49330.2021.9428811.

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Reports on the topic "PSO"

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Li, Peng, and Junjun Liu. Effect of tumor necrosis factor inhibitors on the risk of adverse cardiovascular events in patients with psoriasis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2022. http://dx.doi.org/10.37766/inplasy2022.8.0090.

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Review question / Objective: Previous studies have indicated a cardioprotective effect of tumor necrosis factor inhibitor (TNFi) therapy in adult patients with psoriasis (Pso). However, most were retrospective studies, and the association between cardiometabolic comorbidities and major adverse cardiovascular events (MACE) has not been validated in randomized controlled trials (RCTs). Condition being studied: Because the available evidence has recently increased, we performed the present updated meta-analysis and meta-regression of cohort studies and RCTs to evaluate whether TNFi therapy can decrease the risk of MACE among patients with Pso and to assess the associations between cardiometabolic comorbidities and MACE.
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Quinn, Timothy. Design and Testing of a PSA-Activated Pro-Apoptotic Peptide. Fort Belvoir, VA: Defense Technical Information Center, November 2007. http://dx.doi.org/10.21236/ada476930.

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Nalesso, Mauro, and Pedro Coli. Guía paso a paso de Hydro-BID. Inter-American Development Bank, December 2017. http://dx.doi.org/10.18235/0000960.

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Abe, F. J/{psi} and {psi}{prime} production at CDF. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/282852.

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Monsalve, Emma, Alma Romero, and António Afonso. Public Sector Efficiency: Evidence for Latin America. Inter-American Development Bank, March 2013. http://dx.doi.org/10.18235/0006949.

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We compute Public Sector Performance (PSP) and Public Sector Efficiency (PSE) indicators and Data Envelopment Analysis (DEA) efficiency scores for a sample of twenty-three Latin American and Caribbean Countries (LAC) to measure efficiency of public spending for the period 2001-2010. Our results show that the PSE is inversely correlated with the size of the government, while the efficiency frontier is essentially defined by Chile, Guatemala, and Peru. Moreover, on average, output quantities could theoretically be proportionally increased by 19 percent with the same level of inputs. In addition, the performed Tobit analysis suggests that more transparency and regulatory quality improve the efficiency scores, while more transparency and control of corruption increase output-oriented efficiency.
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Nelson, Nathan, and Charles F. Yocum. Structure, Function and Utilization of Plant Photosynthetic Reaction Centers. United States Department of Agriculture, September 2012. http://dx.doi.org/10.32747/2012.7699846.bard.

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Light capturing and energy conversion by PSI is one of the most fundamental processes in nature. In the heart of these adaptations stand PSI, PSII and their light harvesting antenna complexes. The main goal of this grant proposal was to obtain by X-ray crystallography information on the structure of plant photosystem I (PSI) and photosystem II (PSII) supercomplexes. We achieved several milestones along this line but as yet, like several strong laboratories around the world, we have no crystal structure of plant PSII. We have redesigned the purification and crystallization procedures and recently solved the crystal structure of the PSI supercomplex at 3.3 Å resolution. Even though this advance in resolution appears to be relatively small, we obtained a significantly improved model of the supercomplex. The work was published in J. Biol. Chem. (Amunts et al., 2010). The improved electron density map yielded identification and tracing of the PsaK subunit. The location of an additional 10 ß-carotenes, as well as 5 chlorophylls and several loop regions that were previously uninterruptable have been modeled. This represents the most complete plant PSI structure obtained thus far, revealing the locations of and interactions among 17 protein subunits and 193 non-covalently bound photochemical cofactors. We have continued extensive experimental efforts to improve the structure of plant PSI and to obtain PSII preparation amenable to crystallization. Most of our efforts were devoted to obtain well-defined subcomplexes of plant PSII preparations that are amenable to crystallization. We studied the apparent paradox of the high sensitivity of oxygen evolution of isolated thylakoids while BBY particles exhibit remarkable resilience to the same treatment. The integrity of the photosystem II (PSII) extrinsic protein complement as well as calcium effects arise from the Ca2+ atom associated with the site of photosynthetic water oxidation were investigated. This work provides deeper insights into the interaction of PsbO with PSII. Sight-directed mutagenesis indicated the location of critical sites involved in the stability of the water oxidation reaction. When combined with previous results, the data lead to a more detailed model for PsbO binding in eukaryotic PSII.
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Solomon, Jr, O M. PSD computations using Welch's method. [Power Spectral Density (PSD)]. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/5688766.

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Krhutová, Lenka, Petr Šaloun, Kamila Vondroušová, Marcela Dabrowská, Zdeněk Velart, David Andrešič, and Miroslav Paulíček. Výzkum a vývoj podpůrných sítí a informačních systémů pro neformální pečující o osoby po cévních mozkových příhodách. Ostravská univerzita, 2021. http://dx.doi.org/10.15452/vsouhrntacr.2021.

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The summary research report describes and summarizes the goals, course and results of the TAČR–VISNEP project. The aim of the experimental development project was to create an information system (IS) for informal carers (ICs) for a person after stroke using modern information technologies in the technical and non-technical spheres of research. IS will allow users to obtain relevant, timely and interconnected information on support networks to prevent their possible social isolation and exclusion, physical and psychological exhaustion, health disorders and other risk factors in their difficult life situation. The purpose of IS is to contribute to improved awareness of ICs support systems across other long-term care providers, in particular public administration, general practitioners etc. The intent of the project was to create and verify a pilot model of IS in Moravian-Silesian Region, which can subsequently be applied in other regions and / or other target ICs groups. The presented results of the project are based on data obtained by research procedures of qualitative and quantitative methodology in the process of agile software development.
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Thiemann-Linden, Jörg, and Wolfgang Aichinger. Kommunikationskampagnen pro Rad. Deutsches Institut für Urbanistik (Difu), 2012. http://dx.doi.org/10.26128/2022.86.

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Rempe, J. L., M. J. Cebull, and B. G. Gilbert. PST user`s guide. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/425368.

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