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Dissertations / Theses on the topic 'Particle Swarm algorithms'

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Published: 28 June 2021
Last updated: 29 July 2025

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1

Sun, Yanxia. "Improved particle swarm optimisation algorithms." Thesis, Paris Est, 2011. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1000395.

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D. Tech. Electrical Engineering.<br>Particle Swarm Optimisation (PSO) is based on a metaphor of social interaction such as birds flocking or fish schooling to search a space by adjusting the trajectories of individual vectors, called "particles" conceptualized as moving points in a multidimensional space. This thesis presents several algorithms/techniques to improve the PSO's global search ability. Simulation and analytical results confirm the efficiency of the proposed algorithms/techniques when compared to the other state of the art algorithms.
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2

Brits, Riaan. "Niching strategies for particle swarm optimization." Diss., Pretoria : [s.n.], 2002. http://upetd.up.ac.za/thesis/available/etd-02192004-143003.

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3

Rahman, Izaz Ur. "Novel particle swarm optimization algorithms with applications in power systems." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/12219.

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Optimization problems are vital in physical sciences, commercial and finance matters. In a nutshell, almost everyone is the stake-holder in certain optimization problems aiming at minimizing the cost of production and losses of system, and also maximizing the profit. In control systems, the optimal configuration problems are essential that have been solved by various newly developed methods. The literature is exhaustively explored for an appropriate optimization method to solve such kind of problems. Particle Swarm Optimization is found to be one of the best among several optimization methods
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4

Muthuswamy, Shanthi. "Discrete particle swarm optimization algorithms for orienteering and team orienteering problems." Diss., Online access via UMI:, 2009.

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5

Gardner, Matthew J. "A Speculative Approach to Parallelization in Particle Swarm Optimization." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/3012.

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Particle swarm optimization (PSO) has previously been parallelized primarily by distributing the computation corresponding to particles across multiple processors. In this thesis we present a speculative approach to the parallelization of PSO that we refer to as SEPSO. In our approach, we refactor PSO such that the computation needed for iteration t+1 can be done concurrently with the computation needed for iteration t. Thus we can perform two iterations of PSO at once. Even with some amount of wasted computation, we show that this approach to parallelization in PSO often outperforms the stand
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6

Kelman, Alexander. "Utilizing Swarm Intelligence Algorithms for Pathfinding in Games." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13636.

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The Ant Colony Optimization and Particle Swarm Optimization are two Swarm Intelligence algorithms often utilized for optimization. Swarm Intelligence relies on agents that possess fragmented knowledge, a concept not often utilized in games. The aim of this study is to research whether there are any benefits to using these Swarm Intelligence algorithms in comparison to standard algorithms such as A* for pathfinding in a game. Games often consist of dynamic environments with mobile agents, as such all experiments were conducted with dynamic destinations. Algorithms were measured on the length of
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7

Petritaj, Bajame <1989&gt. "Particle Swarm Optimization e Firework Algorithms per l’ottimizzazione di un trading system." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17108.

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Nella prima parte di questo lavoro si introduce l’analisi tecnica - lo studio del prezzo. Nella seconda parte si presentano 2 algoritmi metaeuristici: “Particle Swarm Optimization” e “Fireworks Algorithm”. Si sceglie l’algoritmo “Particle Swarm Optimization” per 3 motivi: Ergodicità – PSO ha un grado di ergodicità alto, il che significa che può ricercare spazi multi-modal con una varietà sufficiente ed allo stesso tempo evitare il local optima; Flessibilità - flessibile in quanto è semplice a coprire un grande range di problemi di ottimizzazione, problemi i quali non possono essere affrontati
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8

Latiff, Idris Abd. "Global-adaptive particle swarm optimisation algorithms for single and multi-objective optimisation problems." Thesis, University of Sheffield, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548633.

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9

Zukhruf, Febri. "FREIGHT TRANSPORT NETWORK DESIGN WITH SUPPLY CHAIN NETWORK EQUILIBRIUM MODELS AND PARTICLE SWARM OPTIMISATION ALGORITHMS." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/192168.

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10

Szöllösi, Tomáš. "Evoluční algoritmy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219654.

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The task of this thesis was focused on comparison selected evolutionary algorithms for their success and computing needs. The paper discussed the basic principles and concepts of evolutionary algorithms used for optimization problems. Author programmed selected evolutionary algorithms and subsequently tasted on various test functions with exactly the given input conditions. Finally the algorithms were compared and evaluated the results obtained for different settings.
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11

Morcos, Karim M. "Genetic network parameter estimation using single and multi-objective particle swarm optimization." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/9207.

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Master of Science<br>Department of Electrical and Computer Engineering<br>Sanjoy Das<br>Stephen M. Welch<br>Multi-objective optimization problems deal with finding a set of candidate optimal solutions to be presented to the decision maker. In industry, this could be the problem of finding alternative car designs given the usually conflicting objectives of performance, safety, environmental friendliness, ease of maintenance, price among others. Despite the significance of this problem, most of the non-evolutionary algorithms which are widely used cannot find a set of diverse and nearly optima
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12

Zuniga, Virgilio. "Bio-inspired optimization algorithms for smart antennas." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5766.

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This thesis studies the effectiveness of bio-inspired optimization algorithms in controlling adaptive antenna arrays. Smart antennas are able to automatically extract the desired signal from interferer signals and external noise. The angular pattern depends on the number of antenna elements, their geometrical arrangement, and their relative amplitude and phases. In the present work different antenna geometries are tested and compared when their array weights are optimized by different techniques. First, the Genetic Algorithm and Particle Swarm Optimization algorithms are used to find the best
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13

Grobler, Jacomine. "Particle swarm optimization and differential evolution for multi-objective multiple machine scheduling." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-05062009-164124/.

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14

Raj, Ashish. "Evolutionary Optimization Algorithms for Nonlinear Systems." DigitalCommons@USU, 2013. http://digitalcommons.usu.edu/etd/1520.

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Many real world problems in science and engineering can be treated as optimization problems with multiple objectives or criteria. The demand for fast and robust stochastic algorithms to cater to the optimization needs is very high. When the cost function for the problem is nonlinear and non-differentiable, direct search approaches are the methods of choice. Many such approaches use the greedy criterion, which is based on accepting the new parameter vector only if it reduces the value of the cost function. This could result in fast convergence, but also in misconvergence where it could lead the
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15

Scriven, Ian Michael. "Derivation and Application of Approximate Electromagnetic Noise Source Models using Decentralised Parallel Particle Swarm Optimisation." Thesis, Griffith University, 2012. http://hdl.handle.net/10072/367576.

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Distributed computing and computational optimisation algorithms are often applied to design problems in various engineering disciplines. In electromagnetic compatibility, an area of electrical engineering concerned with the unintentional generation of and susceptibility to electromagnetic energy, distributed optimisation techniques could be used to ensure compliance with various civilian and military standards that most electrical devices must meet. While there are a variety of numerical techniques that can be applied to problems in computational electromagnetic compatibility, the finite-diffe
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RUEDA, CAMILO VELASCO. "ESNPREDICTOR: TIME SERIES FORECASTING APPLICATION BASED ON ECHO STATE NETWORKS OPTIMIZED BY GENETICS ALGORITHMS AND PARTICLE SWARM OPTIMIZATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=24785@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>A previsão de séries temporais é fundamental na tomada de decisões de curto, médio e longo prazo, em diversas áreas como o setor elétrico, a bolsa de valores, a meteorologia, entre outros. Tem-se na atualidade uma diversidade de técnicas e modelos para realizar essas previsões, mas as ferramentas estatísticas são as mais utilizadas principalmente por apresentarem um maior grau d
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17

Al-Obaidi, Mohanad. "ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence." Thesis, De Montfort University, 2010. http://hdl.handle.net/2086/5187.

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Although traditionally Wireless Sensor Network (WSNs) have been regarded as static sensor arrays used mainly for environmental monitoring, recently, its applications have undergone a paradigm shift from static to more dynamic environments, where nodes are attached to moving objects, people or animals. Applications that use WSNs in motion are broad, ranging from transport and logistics to animal monitoring, health care and military. These application domains have a number of characteristics that challenge the algorithmic design of WSNs. Firstly, mobility has a negative effect on the quality of
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18

Liu, Fang. "Nature inspired computational intelligence for financial contagion modelling." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/8208.

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Financial contagion refers to a scenario in which small shocks, which initially affect only a few financial institutions or a particular region of the economy, spread to the rest of the financial sector and other countries whose economies were previously healthy. This resembles the “transmission” of a medical disease. Financial contagion happens both at domestic level and international level. At domestic level, usually the failure of a domestic bank or financial intermediary triggers transmission by defaulting on inter-bank liabilities, selling assets in a fire sale, and undermining confidence
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19

Noudjiep, Djiepkop Giresse Franck. "Feeder reconfiguration scheme with integration of renewable energy sources using a Particle Swarm Optimisation method." Thesis, Cape Peninsula University of Technology, 2018. http://hdl.handle.net/20.500.11838/2712.

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Thesis (Master of Engineering in Electrical Engineering)--Cape Peninsula University of Technology, 2018.<br>A smart grid is an intelligent power delivery system integrating traditional and advanced control, monitoring, and protection systems for enhanced reliability, improved efficiency, and quality of supply. To achieve a smart grid, technical challenges such as voltage instability; power loss; and unscheduled power interruptions should be mitigated. Therefore, future smart grids will require intelligent solutions at transmission and distribution levels, and optimal placement & sizing of grid
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20

Allen, Andy. "Analytic element modeling of the High Plains Aquifer: non-linear model optimization using Levenberg-Marquardt and particle swarm algorithms." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/14103.

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Master of Science<br>Department of Civil Engineering<br>David R. Steward<br>Accurate modeling of the High Plains Aquifer depends on the availability of good data that represents and quantities properties and processes occurring within the aquifer. Thanks to many previous studies there is a wealth of good data available for the High Plains Aquifer but one key component, groundwater-surface water interaction locations and rates, is generally missing. Without these values accurate modeling of the High Plains Aquifer is very difficult to achieve. This thesis presents methods for simplifying the m
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21

Bhandare, Ashray Sadashiv. "Bio-inspired Algorithms for Evolving the Architecture of Convolutional Neural Networks." University of Toledo / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513273210921513.

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22

Alkindy, Bassam. "Combining approaches for predicting genomic evolution." Thesis, Besançon, 2015. http://www.theses.fr/2015BESA2012/document.

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En bio-informatique, comprendre comment les molécules d’ADN ont évolué au cours du temps reste un problème ouvert etcomplexe. Des algorithmes ont été proposés pour résoudre ce problème, mais ils se limitent soit à l’évolution d’un caractèredonné (par exemple, un nucléotide précis), ou se focalisent a contrario sur de gros génomes nucléaires (plusieurs milliardsde paires de base), ces derniers ayant connus de multiples événements de recombinaison – le problème étant NP completquand on considère l’ensemble de toutes les opérations possibles sur ces séquences, aucune solution n’existe à l’heureac
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23

Абдураімов, Таір Заірович. "Алгоритм глибинного аналізу даних для задачі класифікації на основі штучного бджолиного рою". Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/38328.

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Актуальність теми. Оскільки розмір цифрової інформації зростає в геометричній прогресії, потрібно витягувати великі обсяги необроблених даних. На сьогоднішній день існує кілька методів налаштування та обробки даних відповідно до наших потреб. Найбільш поширеним методом є використання інтелектуального аналізу даних (Data Mining). Data Mining застосовується для вилучення неявних, дійсних та потенційно корисних знань із великих обсягів необроблених даних. Видобуті знання повинні бути точними, читабельними та легкими для розуміння. Крім того, процес видобутку даних також називають процесом виявлен
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24

Hnízdilová, Bohdana. "Registrace ultrazvukových sekvencí s využitím evolučních algoritmů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442502.

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This master´s thesis deals with the registration of ultrasound sequences using evolutionary algorithms. The theoretical part of the thesis describes the process of image registration and its optimalization using genetic and metaheuristic algorithms. The thesis also presents problems that may occur during the registration of ultrasonographic images and various approaches to their registration. In the practical part of the work, several optimization methods for the registration of a number of sequences were implemented and compared.
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25

Stacha, Radek. "Optimalizace kogeneračního systému." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231502.

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Master thesis is focused on optimization of cogeneration system for purpose of rating optimization methods and evaluating properties of these methods. For each method there is description together with block schemes. First part of thesis is devoted to description of methods and their comparison. Second part consists of development of hybrid algorithm, which is used to optimize cogeneration systém model. Each algorithm compared is together with hybrid algorithms included in annexes.
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26

Gadde, Srimanth. "Graph Partitioning Algorithms for Minimizing Inter-node Communication on a Distributed System." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1376561814.

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27

Ras, Marthinus Nicolaas. "The development of some rotationally invariant population based optimization methods." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80172.

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Thesis (MScEng)--Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: In this study we consider the lack of rotational invariance of three different population based optimization methods, namely the particle swarm optimization (PSO) algorithm, the differential evolution (DE) algorithm and the continuous-parameter genetic algorithm (CPGA). We then propose rotationally invariant versions of these algorithms. We start with the PSO. The so-called classical PSO algorithmis known to be variant under rotation, whereas the linear PSO is rotationally invariant. This invariance however, comes at the
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28

Abdussalam, Fathi M. A. "Antenna design using optimization techniques over various computaional electromagnetics. Antenna design structures using genetic algorithm, Particle Swarm and Firefly algorithms optimization methods applied on several electromagnetics numerical solutions and applications including antenna measurements and comparisons." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17217.

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Dealing with the electromagnetic issue might bring a sort of discontinuous and nondifferentiable regions. Thus, it is of great interest to implement an appropriate optimisation approach, which can preserve the computational resources and come up with a global optimum. While not being trapped in local optima, as well as the feasibility to overcome some other matters such as nonlinear and phenomena of discontinuous with a large number of variables. Problems such as lengthy computation time, constraints put forward for antenna requirements and demand for large computer memory, are very com
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Abusitta, M. M. "Design and modelling of beam steering antenna array for mobile and wireless applications using optimisation algorithms. Simulation and measrement of switch and phase shifter for beam steering antenna array by applying reactive loading and time modulated switching techniques, optimised using genetic algorithms and particle swarm methods." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5745.

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The objectives of this work were to investigate, design and implement beam steering antenna arrays for mobile and wireless applications using the genetic algorithm (GA) and particle swarm optimisation (PSO) techniques as optimisation design tools. Several antenna designs were implemented and tested: initially, a printed dipole antenna integrated with a duplex RF switch used for mobile base station antenna beam steering was investigated. A coplanar waveguide (CPW) to coplanar strip (CPS) transition was adopted to feed the printed dipole. A novel RF switch circuit, used to control the RF si
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Abusitta, Musa M. "Design and modelling of beam steering antenna array for mobile and wireless applications using optimisation algorithms : simulation and measrement of switch and phase shifter for beam steering antenna array by applying reactive loading and time modulated switching techniques, optimised using genetic algorithms and particle swarm methods." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5745.

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The objectives of this work were to investigate, design and implement beam steering antenna arrays for mobile and wireless applications using the genetic algorithm (GA) and particle swarm optimisation (PSO) techniques as optimisation design tools. Several antenna designs were implemented and tested: initially, a printed dipole antenna integrated with a duplex RF switch used for mobile base station antenna beam steering was investigated. A coplanar waveguide (CPW) to coplanar strip (CPS) transition was adopted to feed the printed dipole. A novel RF switch circuit, used to control the RF signal
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31

Li, Zeyuan. "Target localization using RSS measurements in wireless sensor networks." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31356.

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The subject of this thesis is the development of localization algorithms for target localization in wireless sensor networks using received signal strength (RSS) measurements or Quantized RSS (QRSS) measurements. In chapter 3 of the thesis, target localization using RSS measurements is investigated. Many existing works on RSS localization assumes that the shadowing components are uncorrelated. However, here, shadowing is assumed to be spatially correlated. It can be shown that localization accuracy can be improved with the consideration of correlation between pairs of RSS measurements. By line
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32

Deus, Guilherme Resende. "Otimização de sistemas hidrotérmicos de geração por meio de meta-heurísticas baseadas em enxame de partículas." Universidade Federal de Goiás, 2016. http://repositorio.bc.ufg.br/tede/handle/tede/7530.

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Submitted by Cássia Santos (cassia.bcufg@gmail.com) on 2017-07-03T12:59:51Z No. of bitstreams: 2 Dissertação - Guilherme Resende Deus - 2016.pdf: 3406372 bytes, checksum: aaa431a0fa0dd2323a74cf35fb63f892 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-07-10T11:44:22Z (GMT) No. of bitstreams: 2 Dissertação - Guilherme Resende Deus - 2016.pdf: 3406372 bytes, checksum: aaa431a0fa0dd2323a74cf35fb63f892 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Made
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Haji, Agha Mohammad Zarbaf Seyed Ehsan. "Vibration-based Cable Tension Estimation in Cable-Stayed Bridges." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535636861655531.

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RIBEIRO, Reiga Ramalho. "Reconstrução de imagens de tomografia por impedância elétrica usando evolução diferencial." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/17899.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-09-20T13:03:02Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação_Versão_Digital_REIGA.pdf: 3705889 bytes, checksum: 551e1d47969ce5d1aa92cdb311f41304 (MD5)<br>Made available in DSpace on 2016-09-20T13:03:02Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação_Versão_Digital_REIGA.pdf: 3705889 bytes, checksum: 551e1d47969ce5d1aa92cdb311f41304 (MD5) Previous issue date: 2016-02-23<br>CAPES<br>A Tomogr
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Srnec, Pavel. "Optimalizace nastavení závodního vozu simulátoru TORCS." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236557.

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This master's thesis is about nature optimalization technigues. Evolution algortihms together with main thesis topic, Particle Swarm Optimization, is introduced in the following chapter. Car setup and simulator TORCS are introduced in next chapter. Design and implementation are introduced in next chapters. Destination of t master's thesis is finding optimal car setups for different curcuits.
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Tiporlini, Valentina. "Magnetocardiography in unshielded environment based on optical magnetometry and adaptive noise cancellation." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/875.

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This thesis proposes and demonstrates the concept of a magnetocardiographic system employing an array of optically-pumped quantum magnetometers and an adaptive noise cancellation for heart magnetic field measurement within a magnetically-unshielded environment. Optically-pumped quantum magnetometers are based on the use of the atomic-spin-dependent optical properties of an atomic medium. An Mxconfiguration- based optically-pumped quantum magnetometer employing two sensing cells containing caesium vapour is theoretically described and experimentally developed, and the dependence of its sensitiv
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Wilke, Daniel N. "Analysis of the particle swarm optimization algorithm." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-01312006-125743.

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NOBILE, MARCO SALVATORE. "Evolutionary Inference of Biological Systems Accelerated on Graphics Processing Units." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/75434.

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In silico analysis of biological systems represents a valuable alternative and complementary approach to experimental research. Computational methodologies, indeed, allow to mimic some conditions of cellular processes that might be difficult to dissect by exploiting traditional laboratory techniques, therefore potentially achieving a thorough comprehension of the molecular mechanisms that rule the functioning of cells and organisms. In spite of the benefits that it can bring about in biology, the computational approach still has two main limitations: first, there is often a lack of adequate kn
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Kesler, René. "Optimalizace metaheuristikami v Pythonu pomocí knihovny DEAP." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-401489.

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{This thesis deals with optimization by means of metaheuristics, which are used for complicated engineering problems that cannot be solved by classical methods of mathematical programming. At the beginning, choosed metaheuristics are described: simulated annealing, particle swarm optimization and genetic algorithm; and then they are compared with use of test functions. These algorithms are implemented in Python programming language with use of package called DEAP, which is also described in this thesis. Algorithms are then applied for optimization of design parameters of the heat storage unit.
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Grandi, Raffaele <1976&gt. "Coordination and Control of Autonomous Mobile Robots Swarms by using Particle Swarm Optimization Algorithm and Consensus Theory." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5904/1/Grandi_Raffaele_tesi.pdf.

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This thesis presents some different techniques designed to drive a swarm of robots in an a-priori unknown environment in order to move the group from a starting area to a final one avoiding obstacles. The presented techniques are based on two different theories used alone or in combination: Swarm Intelligence (SI) and Graph Theory. Both theories are based on the study of interactions between different entities (also called agents or units) in Multi- Agent Systems (MAS). The first one belongs to the Artificial Intelligence context and the second one to the Distributed Systems context. These the
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Grandi, Raffaele <1976&gt. "Coordination and Control of Autonomous Mobile Robots Swarms by using Particle Swarm Optimization Algorithm and Consensus Theory." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5904/.

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This thesis presents some different techniques designed to drive a swarm of robots in an a-priori unknown environment in order to move the group from a starting area to a final one avoiding obstacles. The presented techniques are based on two different theories used alone or in combination: Swarm Intelligence (SI) and Graph Theory. Both theories are based on the study of interactions between different entities (also called agents or units) in Multi- Agent Systems (MAS). The first one belongs to the Artificial Intelligence context and the second one to the Distributed Systems context. These the
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Hemzalová, Zuzana. "Evoluční algoritmy pro ultrazvukovou perfúzní analýzu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442504.

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This thesis deals with the principles of ultrasonic perfusion analysis and methods for determining perfusion parameters. It examines Evolutionary algorithms and their ability to optimize the approximation of dilution curves from ultrasond tissue scannig. It compares the optimization performance of three evolutionary algorithms. Continuous genetic algorithm GA, algorithm SOMA and PSO. Methods are evaluated on simulated and clinical data.
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Chen, Kun-Huang, and 陳昆皇. "Particle Swarm Optimization Algorithms for Feature Selection." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/75079311564407541435.

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博士<br>國立清華大學<br>工業工程與工程管理學系<br>100<br>Searching for an optimal feature subset from a high-dimensional feature space is an NP-complete problem; hence, traditional optimization algorithms are inefficient when solving large-scale feature selection problems. Therefore, meta-heuristic algorithms are extensively adopted to solve such problems efficiently. This study proposes two approaches: opposite sign test and regression-based particle swarm optimization for feature selection problem. The proposed algorithms can increase population diversity and avoid local optimal trapping by improving the jump
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Chiang, Cheng-Wen, and 江正文. "Improving Particle Swarm Optimization Algorithms with Activation Strategies." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/37386756889929024177.

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碩士<br>中原大學<br>資訊管理研究所<br>95<br>According to researches, activation was a minor strategy of improving Particle Swarm Algorithm. For proofing the possibility of activation strategy could be a main strategy for improving Particle Swarm Algorithm, this article adopt the concept of mutation in Genetic Algorithm to improve Particle Swarm Optimization. The experimental results show three advantages for the activation strategies. First, It’s workable for the algorithm and the performance are superior to former PSO algorithms. Second, the agitation strategy was more flexible. Third, when the activation
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Liu, Kung Liang, and 劉恭良. "Particle swarm optimization algorithms for fundamental matrix estimation." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/42180499853745256382.

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碩士<br>國立政治大學<br>資訊科學學系<br>99<br>Fundamental matrix is a very important parameter in image processing. In corresponding point determination, coordinate system conversion, as well as three-dimensional model reconstruction, etc., fundamental matrix always plays an important role. Hence, obtaining an accurate fundamental matrix becomes one of the most important issues in image processing. In this paper, we present a mechanism that uses the concept of Particle Swarm Optimization (PSO) to find fundamental matrix. Our approach not only can improve the accuracy of the fundamental matrix but also can
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Huang, Z. L., and 黃子倫. "Particle Swarm Optimization Algorithms Based On the Behavior Analyses." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/54876858152420247148.

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碩士<br>國立宜蘭大學<br>電機工程學系碩士班<br>97<br>In this thesis, a new behavior analyzed multimodal particle swarm optimization (BAMPSO) algorithm is proposed for not only unimodal problems but multi-modal problems. The main idea is to find the local minima by analyzing the variation of the fitness value when the particles are moving. Since almost all the local minima are found, the global minimum can be obviously obtained. That is, the BAMPSO can avoid converging to local solution and efficiently find the global solution. Moreover, the behavior analyzed adaptive particle swarm optimization (BAAPSO) algorit
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Wu, Jane-Jang, and 吳建漳. "Solving N-Queen Problem Using Repository Particle Swarm Optimization Algorithms." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/13722748794647121269.

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碩士<br>元智大學<br>資訊管理學系<br>95<br>This research studies a storage grain of PSO algorithm method (Reposition PSO) to be called (RPSO), through RPSO the heuristic method and the storage empirical value memory way, makes PSO to solve in the question on has the efficiency, this article then processes each particle individual penetration dimension transformation matrix way the N-Queen Problem, through this method construction model to deal with the N-Queen Problem issue, simultaneously stores up the granule by the array method the discrete state and provides the calculating method to feed into the use,
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Wu, Chih-Jyz, and 吳昌志. "Modified Particle Swarm Optimization Algorithms for the Traveling Salesman Problem." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/20600614853314927681.

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碩士<br>中原大學<br>資訊管理研究所<br>95<br>According Particle Swarm Optimiztion Algorithm, is an swarm intelligence Algorithm. Throught simulate birds behavior,each particle share information each other to reach the best result. But the Particle Swarm Optimiztion Algorithm is good at the continue function,be bad at discrete function. For proofing then Particle Swarm Optimiztion Algorithm can be used at discrete problem, this article combine Particle Swarm Optimiztion Algorithm with 2-Opt algorithm and Greed mtheod to slove Traveling salesman problem. The performance would be superior then the original al
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楊禮瑛. "Particle swarm optimization algorithms for the open vehicle routing problem." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/74853641796586654630.

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Chen, Wan-Ren, and 陳萬仁. "Applications of Particle Swarm Optimization Algorithms for Wireless Sensor Networks." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/e9u8c2.

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碩士<br>國立臺中科技大學<br>資訊工程系碩士班<br>100<br>The main features of wireless sensors are energy limited, hence, the algorithm design with the enhancement of energy efficiency becomes an important topic. In this thesis, we propose two energy efficiency algorithms. One is PSO-LEACH algorithm with Taguchi algorithm which associates LEACH and PSO to select the optimal cluster heads from a wireless cluster sensor network. In the WSNs, PSO algorithm is used to select cluster head and reach the energy dissipation balance among all nodes, which can reduce the probability of the early death of the nodes. In PSO
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