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Dissertations / Theses on the topic 'Intelligence algorithm'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Ray, Katrina. "Algorithm capability and applications in artificial intelligence." Thesis, Connect to title online (Scholars' Bank) Connect to title online (ProQuest), 2008. http://hdl.handle.net/1794/9504.

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2

Vaddhireddy, Jyothirmye. "A Novel Swarm Intelligence based IWD Algorithm for Routing in MANETs." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321589580.

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3

Belkhir, Nacim. "Per Instance Algorithm Configuration for Continuous Black Box Optimization." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS455/document.

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Cette thèse porte sur la configurationAutomatisée des algorithmes qui vise à trouver le meilleur paramétrage à un problème donné ou une catégorie deproblèmes.Le problème de configuration de l'algorithme revient doncà un problème de métaFoptimisation dans l'espace desparamètres, dont le métaFobjectif est la mesure deperformance de l’algorithme donné avec une configuration de paramètres donnée.Des approches plus récentes reposent sur une description des problèmes et ont pour but d’apprendre la relationentre l’espace des caractéristiques des problèmes etl’espace des configurations de l’algorithme

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4

Coletti, Mark. "An analysis of a model-based evolutionary algorithm| Learnable Evolution Model." Thesis, George Mason University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3625081.

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<p>An evolutionary algorithm (EA) is a biologically inspired metaheuristic that uses mutation, crossover, reproduction, and selection operators to evolve solutions for a given problem. Learnable Evolution Model (LEM) is an EA that has an evolutionary algorithm component that works in tandem with a machine learner to collaboratively create populations of individuals. The machine learner infers rules from best and least fit individuals, and then this knowledge is exploited to improve the quality of offspring. </p><p> Unfortunately, most of the extant work on LEM has been <i>ad hoc </i>, and so

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Nettleton, David John. "Evolutionary algorithms in artificial intelligence : a comparative study through applications." Thesis, Durham University, 1994. http://etheses.dur.ac.uk/5951/.

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For many years research in artificial intelligence followed a symbolic paradigm which required a level of knowledge described in terms of rules. More recently subsymbolic approaches have been adopted as a suitable means for studying many problems. There are many search mechanisms which can be used to manipulate subsymbolic components, and in recent years general search methods based on models of natural evolution have become increasingly popular. This thesis examines a hybrid symbolic/subsymbolic approach and the application of evolutionary algorithms to a problem from each of the fields of sh

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6

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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Machado, Beatriz. "Artificial intelligence to model bedrock depth uncertainty." Thesis, KTH, Jord- och bergmekanik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252317.

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The estimation of bedrock level for soil and rock engineering is a challenge associated to many uncertainties. Nowadays, this estimation is performed by geotechnical or geophysics investigations. These methods are expensive techniques, that normally are not fully used because of limited budget. Hence, the bedrock levels in between investigations are roughly estimated and the uncertainty is almost unknown. Machine learning (ML) is an artificial intelligence technique that uses algorithms and statistical models to predict determined tasks. These mathematical models are built dividing the data be

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8

Topalli, Ayca Kumluca. "Hybrid Learning Algorithm For Intelligent Short-term Load Forecasting." Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/627505/index.pdf.

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Short-term load forecasting (STLF) is an important part of the power generation process. For years, it has been achieved by traditional approaches stochastic like time series<br>but, new methods based on artificial intelligence emerged recently in literature and started to replace the old ones in the industry. In order to follow the latest developments and to have a modern system, it is aimed to make a research on STLF in Turkey, by neural networks. For this purpose, a method is proposed to forecast Turkey&rsquo<br>s total electric load one day in advance. A hybrid learning scheme that combine

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9

Harrison, Kyle Robert. "An Analysis of Parameter Control Mechanisms for the Particle Swarm Optimization Algorithm." Thesis, University of Pretoria, 2018. http://hdl.handle.net/2263/66103.

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The particle swarm optimization (PSO) algorithm is a stochastic, population-based optimization technique influenced by social dynamics. It has been shown that the performance of the PSO algorithm can be greatly improved if the control parameters are appropriately tuned. However, the tuning of control parameter values has traditionally been a time-consuming, empirical process followed by statistical analysis. Furthermore, ideal values for the control parameters may be time-dependent; parameter values that lead to good performance in an exploratory phase may not be ideal for an exploitative phas

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10

Cully, Antoine. "Creative Adaptation through Learning." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066664/document.

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Les robots ont profondément transformé l’industrie manufacturière et sont susceptibles de délivrer de grands bénéfices pour la société, par exemple en intervenant sur des lieux de catastrophes naturelles, lors de secours à la personne ou dans le cadre de la santé et des transports. Ce sont aussi des outils précieux pour la recherche scientifique, comme pour l’exploration des planètes ou des fonds marins. L’un des obstacles majeurs à leur utilisation en dehors des environnements parfaitement contrôlés des usines ou des laboratoires, est leur fragilité. Alors que les animaux peuvent rapidement s

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11

Maripi, Jagadish Kumar. "AN EFFECTIVE PARALLEL PARTICLE SWARM OPTIMIZATION ALGORITHM AND ITS PERFORMANCE EVALUATION." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/theses/275.

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Population-based global optimization algorithms including Particle Swarm Optimization (PSO) have become popular for solving multi-optima problems much more efficiently than the traditional mathematical techniques. In this research, we present and evaluate a new parallel PSO algorithm that provides a significant performance improvement as compared to the serial PSO algorithm. Instead of merely assigning parts of the task of serial version to several processors, the new algorithm places multiple swarms on the available nodes in which operate independently, while collaborating on the same task. W

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12

Civelek, Ferda N. (Ferda Nur). "Temporal Connectionist Expert Systems Using a Temporal Backpropagation Algorithm." Thesis, University of North Texas, 1993. https://digital.library.unt.edu/ark:/67531/metadc278824/.

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Representing time has been considered a general problem for artificial intelligence research for many years. More recently, the question of representing time has become increasingly important in representing human decision making process through connectionist expert systems. Because most human behaviors unfold over time, any attempt to represent expert performance, without considering its temporal nature, can often lead to incorrect results. A temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems, h

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13

Chen, Yuanfang. "Mobile collaborative sensing : framework and algorithm design." Thesis, Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0016/document.

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De nos jours, il y a une demande croissante pour fournir de l'information temps réel à partir de l'environnement, e.g. état infectieux de maladies, force du signal, conditions de circulation, qualité de l'air. La prolifération des dispositifs de capteurs et la mobilité des personnes font de la Mobile Collaborative Sensing (MCS) un moyen efficace de détecter et collecter l'information à un faible coût. Dans MCS, au lieu de déployer des capteurs statiques dans une zone, les personnes disposant d'appareils mobiles jouent le rôle de capteurs mobiles. En général, une application MCS exige que l'app

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Chen, Yuanfang. "Mobile collaborative sensing : framework and algorithm design." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0016.

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De nos jours, il y a une demande croissante pour fournir de l'information temps réel à partir de l'environnement, e.g. état infectieux de maladies, force du signal, conditions de circulation, qualité de l'air. La prolifération des dispositifs de capteurs et la mobilité des personnes font de la Mobile Collaborative Sensing (MCS) un moyen efficace de détecter et collecter l'information à un faible coût. Dans MCS, au lieu de déployer des capteurs statiques dans une zone, les personnes disposant d'appareils mobiles jouent le rôle de capteurs mobiles. En général, une application MCS exige que l'app

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15

Hafner, Jonathan H. "Evolving a Genetic Algorithm for Network Flow Maximization." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1334251829.

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Upperman, Gary J. "Implementation of a cyclostationary spectral analysis algorithm on an SRC reconfigurable computer for real-time signal processing." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://bosun.nps.edu/uhtbin/hyperion-image.exe/08Mar%5FUpperman%5FGary.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 2008.<br>Thesis Advisor(s): Fouts, Douglas J. ; Pace, Phillip E. "March 2008." Description based on title screen as viewed on May 16, 2008. Includes bibliographical references (p. 101-102). Also available in print.

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17

Vernhes, Simon. "Décomposition des problèmes de planification de tâches basée sur les landmarks." Thesis, Toulouse, ISAE, 2014. http://www.theses.fr/2014ESAE0050/document.

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Les algorithmes permettant la création de stratégies efficaces pour la résolution d’ensemble de problèmeshétéroclites ont toujours été un des piliers de la recherche en Intelligence Artificielle. Dans cette optique,la planification de tâches a pour objectif de fournir à un système la capacité de raisonner pour interagiravec son environnement de façon autonome afin d’atteindre les buts qui lui ont été assignés. À partir d’unedescription de l’état initial du monde, des actions que le système peut exécuter, et des buts qu’il doit atteindre,un planificateur calcule une séquence d’actions dont l’ex

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Mao, Yida 1972. "A metrics based detection of reusable object-oriented software components using machine learning algorithm /." Thesis, McGill University, 1999. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=21601.

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Since the emergence of the object technology, organizations have accumulated a tremendous amount of object-oriented (OO) code. Instead of continuing to recreate components similar to existing artifacts, and considering the rising costs of development, many organizations would like to decrease software development costs and cycle time by reusing existing OO components. The difficulty of finding reusable components is that reuse is a complex and thus less quantifiable measure. In this research, we first proposed three reuse hypotheses about the impact of three internal characteristics (inheritan

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19

Cully, Antoine. "Creative Adaptation through Learning." Electronic Thesis or Diss., Paris 6, 2015. http://www.theses.fr/2015PA066664.

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Les robots ont profondément transformé l’industrie manufacturière et sont susceptibles de délivrer de grands bénéfices pour la société, par exemple en intervenant sur des lieux de catastrophes naturelles, lors de secours à la personne ou dans le cadre de la santé et des transports. Ce sont aussi des outils précieux pour la recherche scientifique, comme pour l’exploration des planètes ou des fonds marins. L’un des obstacles majeurs à leur utilisation en dehors des environnements parfaitement contrôlés des usines ou des laboratoires, est leur fragilité. Alors que les animaux peuvent rapidement s

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20

Lu, Yapeng. "An integrated algorithm for distributed optimization in networked systems." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43224234.

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21

FORESI, GABRIELE. "Computational Intelligence Techniques for Energy Management in Industrial and Residential Systems." Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/274515.

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Nell’era della digitalizzazione, l’Energy Management (EM) è diventato uno degli argomenti più importanti in sia in ambito industriale che residenziali. L’importanza di risolvere e migliorare alcuni compiti in questa era porta alla necessità di applicare alcuni metodi di intelligenza computazionale (CI) e di intelligenza artificiale (AI). Gli obiettivi e i contributi di questa tesi sono legati all’EM in i) sistemi industriali (con riferimento all’Industria 4.0) agendo sulla progettazione del sistema di controllo e ii) sistemi residenziali dando all’utente un ruolo attivo in uno scenario di

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22

Mackey, Carol Ann. "A performance-driven fuzzy algorithm for placement of macro cells." Thesis, The University of Arizona, 1995. http://hdl.handle.net/10150/291564.

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Macro cell placement is an integral part of VLSI design. Existing placement techniques do not use a realistic human-like intuitive process for making decisions and therefore, lack the ability to make decisions based on several factors at once. In this research a quad-partitioning algorithm with a tabu search and a fuzzy cost function is used for macro cell placement. This approach partitions the design into small pieces that can be easily placed. The algorithm is based on a method which tries to reduce the path lengths and reduce the number of edges which cross out of a partition. The fuzzy co

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23

Duchene, Fabien. "Detection of web vulnerabilities via model inference assisted evolutionary fuzzing." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM022/document.

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Le test est une approche efficace pour détecter des bogues d'implémentation ayant un impact sur la sécurité, c.a.d. des vulnérabilités. Lorsque le code source n'est pas disponible, il est nécessaire d'utiliser des techniques de test en boîte noire. Nous nous intéressons au problème de détection automatique d'une classe de vulnérabilités (Cross Site Scripting alias XSS) dans les applications web dans un contexte de test en boîte noire. Nous proposons une approche pour inférer des modèles de telles applications et frelatons des séquences d'entrées générées à partir de ces modèles et d'une gramma

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24

Ikonomovski, Stefan V. "Detection of faulty components in Object-Oriented systems using design metrics and a machine learning algorithm." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0025/MQ50796.pdf.

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25

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.<br>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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26

Usman, Modibo. "The Effect of the Implementation of a Swarm Intelligence Algorithm on the Efficiency of the Cosmos Open Source Managed Operating System." Thesis, Northcentral University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10810882.

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<p> As the complexity of mankind’s day-to-day challenges increase, so does a need for the optimization of know solutions to accommodate for this increase in complexity. Today’s computer systems use the Input, Processing, and Output (IPO) model as a way to deliver efficiency and optimization in human activities. Since the relative quality of an output utility derived from an IPO based computer system is closely coupled to the quality of its input media, the measure of the Optimal Quotient (OQ) is the ratio of the input to output which is 1:1. This relationship ensures that all IPO b

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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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Jiang, Qiang. "A genetic algorithm for multiple resource-constrained project scheduling." School of Economics and Information Systems - Faculty of Commerce, 2004. http://ro.uow.edu.au/theses/256.

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The aim of this paper is to present a new genetic algorithm approach for large scale multiple resource-constrained project-scheduling problems. This research area is very common in industry especially when a set of activities needs to be finished as soon as possible subject to two sets of constraints, (?) Precedence constraints, and (?) Resource constraints. The literature reveals that previous researches have developed numerous scheduling methods and techniques to overcome the complex nature of this problem. However, there are still no promising methods that guarantee optimal solutions as wel

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29

Gagliolo, Matteo. "Online Dynamic Algorithm Portfolios: Minimizing the computational cost of problem solving." Doctoral thesis, Università della Svizzera italiana, Lugano, Switzerland, 2010. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/250787.

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This thesis presents methods for minimizing the computational effort of problem solving. Rather than looking at a particular algorithm, we consider the issue of computational complexity at a higher level, and propose techniques that, given a set of candidate algorithms, of unknown performance, learn to use these algorithms while solving a sequence of problem instances, with the aim of solving all instances in a minimum time. An analogous meta-level approach to problem solving has been adopted in many different fields, with different aims and terminology. A widely accepted term to describe it i

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Orazi, Filippo. "Quantum machine learning: development and evaluation of the Multiple Aggregator Quantum Algorithm." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25062/.

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Human society has always been shaped by its technology, so much that even ages and parts of our history are often named after the discoveries of that time. The growth of modern society is largely derived from the introduction of classical computers that brought us innovations like repeated tasks automatization and long-distance communication. However, this explosive technological advancement could be subjected to a heavy stop when computers reach physical limitations and the empirical law known as Moore Law comes to an end. Foreshadowing these limits and hoping for an even more powerful techno

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Chhabra, Rupanshi. "Control Power Optimization using Artificial Intelligence for Hybrid Wing Body Aircraft." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56580.

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Traditional methods of control allocation optimization have shown difficulties in exploiting the full potential of controlling a large array of control surfaces. This research investigates the potential of employing artificial intelligence methods like neurocomputing to the control allocation optimization problem of Hybrid Wing Body (HWB) aircraft concepts for minimizing control power, hinge moments, and actuator forces, while keeping the system weights within acceptable limits. The main objective is to develop a proof-of-concept process suitable to demonstrate the potential of using neurocomp

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Poggiolini, Mario. "The feature detection rule and its application within the negative selection algorithm." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-06262009-112502/.

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Goble, Tiffany Danielle. "Automate Reasoning computer assisted proofs in set theory using Gödel's algorithm for class formation /." Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-07252004-165909/unrestricted/Goble%5FTiffany%5FD%5F200412%5FMaster.pdf.

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Thesis (M.S.)--Mathematics, Georgia Institute of Technology, 2005.<br>Belinfante, Johan, Committee Chair ; Green, William, Committee Member ; Manolios, Panagiotis, Committee Member. Includes bibliographical references.

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FERUGLIO, LORENZO. "Artificial Intelligence for Small Satellites Mission Autonomy." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2694565.

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Space mission engineering has always been recognized as a very challenging and innovative branch of engineering: since the beginning of the space race, numerous milestones, key successes and failures, improvements, and connections with other engineering domains have been reached. Despite its relative young age, space engineering discipline has not gone through homogeneous times: alternation of leading nations, shifts in public and private interests, allocations of resources to different domains and goals are all examples of an intrinsic dynamism that characterized this discipline. The dynamism

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Lu, Yapeng, and 呂亞鵬. "An integrated algorithm for distributed optimization in networked systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43224234.

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Mestre, Ricardo Jorge Palheira. "Improvements on the KNN classifier." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10923.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>The object classification is an important area within the artificial intelligence and its application extends to various areas, whether or not in the branch of science. Among the other classifiers, the K-nearest neighbor (KNN) is among the most simple and accurate especially in environments where the data distribution is unknown or apparently not parameterizable. This algorithm assigns the classifying element the major class in the K nearest neighbors. According to the original algorithm, this classification implies the

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Degtyarena, Anna Semenovna. "The window least mean square error algorithm." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2385.

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In order to improve the performance of LMS (least mean square) algorithm by decreasing the amount of calculations this research proposes to make an update on each step only for those elements from the input data set, that fall within a small window W near the separating hyperplane surface. This work aims to describe in detail the results that can be achieved by using the proposed LMS with window learning algorithm in information systems that employ the methodology of neural network for the purposes of classification.

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Masmoudi, Nesrine. "Modèle bio-inspiré pour le clustering de graphes : application à la fouille de données et à la distribution de simulations." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMLH26/document.

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Dans ce travail de thèse, nous présentons une méthode originale s’inspirant des comportements des fourmis réelles pour la résolution de problème de classification non supervisée non hiérarchique. Cette approche créée dynamiquement des groupes de données. Elle est basée sur le concept des fourmis artificielles qui se déplacent en même temps de manière complexe avec les règles de localisation simples. Chaque fourmi représente une donnée dans l’algorithme. Les mouvements des fourmis visent à créer des groupes homogènes de données qui évoluent ensemble dans une structure de graphe. Nous proposons

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Wong, Yin-cheung Eugene, and 黃彥璋. "A hybrid evolutionary algorithm for optimization of maritime logisticsoperations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44526763.

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AZEVEDO, Marília Marta Gomes Orquiza de. "ANÁLISE DO DESEMPENHO DE MÉTODOS DE INTELIGÊNCIA ARTIFICIAL BASEADOS NO COMPORTAMENTO DAS PLANTAS." Universidade Federal do Maranhão, 2017. http://tedebc.ufma.br:8080/jspui/handle/tede/1252.

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Submitted by Maria Aparecida (cidazen@gmail.com) on 2017-04-07T11:44:34Z No. of bitstreams: 1 Marilia Marta.pdf: 1791339 bytes, checksum: 4b1d16d2c77f148ff69597765e114fa2 (MD5)<br>Made available in DSpace on 2017-04-07T11:44:34Z (GMT). No. of bitstreams: 1 Marilia Marta.pdf: 1791339 bytes, checksum: 4b1d16d2c77f148ff69597765e114fa2 (MD5) Previous issue date: 2017-02-20<br>CAPES<br>Artificial intelligence (AI) is a branch of computer science that studies the intelligent behavior of living beings, and mimics this intelligence by deploying it in computer programs, machines and systems in or

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Tai, Hio Kuan. "Protein-ligand docking and virtual screening based on chaos-embedded particle swarm optimization algorithm." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3948431.

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Singh, Harkirat. "Development and implementation of an artificially intelligent search algorithm for sensor fault detection using neural networks." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/116.

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This work is aimed towards the development of an artificially intelligent search algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in control systems. The AANN can be trained to detect when sensors go faulty but the problem of locating the faulty sensor still remains. The search algorithm aids the AANN to help locate the faulty sensors and reconstruct their actual values. The algorithm uses domain specific heuristics based on the inherent behavior of the AANN to achieve its task. Common sensor errors such as drift,

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Wu, Ning. "Artificial intelligence solutions for models of dynamic land use change." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610781.

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Doungsa-ard, Chartchai, Keshav P. Dahal, M. Alamgir Hossain, and T. Suwannasart. "An automatic test data generation from UML state diagram using genetic algorithm." IEEE, 2007. http://hdl.handle.net/10454/2492.

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Software testing is a part of software development process. However, this part is the first one to miss by software developers if there is a limited time to complete the project. Software developers often finish their software construction closed to the delivery time, they usually don¿t have enough time to create effective test cases for testing their programs. Creating test cases manually is a huge work for software developers in the rush hours. A tool which automatically generates test cases and test data can help the software developers to create test cases from software designs/mo

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Lakshminarayanan, Srivathsan. "Nature Inspired Grey Wolf Optimizer Algorithm for Minimizing Operating Cost in Green Smart Home." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438102173.

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Rastgoufard, Rastin. "The Interacting Multiple Models Algorithm with State-Dependent Value Assignment." ScholarWorks@UNO, 2012. http://scholarworks.uno.edu/td/1477.

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The value of a state is a measure of its worth, so that, for example, waypoints have high value and regions inside of obstacles have very small value. We propose two methods of incorporating world information as state-dependent modifications to the interacting multiple models (IMM) algorithm, and then we use a game's player-controlled trajectories as ground truths to compare the normal IMM algorithm to versions with our proposed modifications. The two methods involve modifying the model probabilities in the update step and modifying the transition probability matrix in the mixing step based on

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SALACHORIS, GEORGIOS PANAGIOTIS. "Exploiting Artificial Intelligence to build realistic numerical models: A Digital Twin application in Structural Health Monitoring." Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/295395.

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Structural Health Monitoring ha ricevuto un ampio riconoscimento e sviluppo negli ultimi anni. Sono stati fatti progressi in molti campi, come le tecnologie di rilevamento, le applicazioni e l'elaborazione dei dati. A causa della crescente necessità di preservare gli edifici del patrimonio culturale che sono interessati dall'ambiente multi-pericoloso e in particolare dai terremoti, l'automazione delle tecniche di monitoraggio della salute strutturale è diventata un importante argomento di ricerca. La conservazione del patrimonio culturale richiede la combinazione di indagini in situ e modelli

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Liu, Zhiyong. "Ant Based Algorithm and Robustness Metric in Spare Capacity Allocation for Survivable Routing." Thesis, University of Canterbury. Electrical and Computer Engineering, 2010. http://hdl.handle.net/10092/4099.

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Network resiliency pertains to the vulnerability of telecommunication networks in the case of failures and malicious attacks. With the increasing capacity catering of network for the booming multi-services in Next Generation Networks (NGNs), reducing recovery time and improving capacity efficiency while providing high quality and resiliency of services has become increasingly important for the future network development. Providing network resiliency means to rapidly and accurately reroute the traffic via diversely routed spare capacity in the network when a failure takes down links or nodes in

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Mitchell, Sophia. "A Cascading Fuzzy Logic Approach for Decision Making in Dynamic Applications." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037866.

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Lakshminarayanan, Srinivasan. "Nature Inspired Discrete Integer Cuckoo Search Algorithm for Optimal Planned Generator Maintenance Scheduling." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438101954.

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