Relevant bibliographies by topics / Intelligent Optimization Algorithms / Dissertations / Theses
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Dissertations / Theses on the topic 'Intelligent Optimization Algorithms'

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Published: 3 June 2025
Last updated: 31 July 2025

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1

Al-Hajri, Muhammad T. "Electrical power energy optimization at hydrocarbon industrial plant using intelligent algorithms." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/12681.

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In this work, the potential of intelligent algorithms for optimizing the real power loss and enhancing the grid connection power factor in a real hydrocarbon facility electrical system is assessed. Namely, genetic algorithm (GA), improve strength Pareto evolutionary algorithm (SPEA2) and differential evolutionary algorithm (DEA) are developed and implemented. The economic impact associated with these objectives optimization is highlighted. The optimization of the subject objectives is addressed as single and multi-objective constrained nonlinear problems. Different generation modes and system
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2

Li, Futong. "Global Optimization Techniques Based on Swarm-intelligent and Gradient-free Algorithms." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42307.

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The need for solving nonlinear optimization problems is pervasive in many fields. Particle swarm optimization, advantageous with the simple underlying implementation logic, and simultaneous perturbation stochastic approximation, which is famous for its saving in the computational power with the gradient-free attribute, are two solutions that deserve attention. Many researchers have exploited their merits in widely challenging applications. However, there is a known fact that both of them suffer from a severe drawback, non- effectively converging to the global best solution, because of the loca
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3

Ranjeet, Tirtha. "Coevolutionary algorithms for the optimization of strategies for red teaming applications." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2012. https://ro.ecu.edu.au/theses/558.

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Red teaming (RT) is a process that assists an organization in finding vulnerabilities in a system whereby the organization itself takes on the role of an “attacker” to test the system. It is used in various domains including military operations. Traditionally, it is a manual process with some obvious weaknesses: it is expensive, time-consuming, and limited from the perspective of humans “thinking inside the box”. Automated RT is an approach that has the potential to overcome these weaknesses. In this approach both the red team (enemy forces) and blue team (friendly forces) are modelled as inte
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4

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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Ahmad, Abdul-Rahim. "An Intelligent Expert System for Decision Analysis and Support in Multi-Attribute Layout Optimization." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/785.

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Layout Decision Analysis and Design is a ubiquitous problem in a variety of work domains that is important from both strategic and operational perspectives. It is largely a complex, vague, difficult, and ill-structured problem that requires intelligent and sophisticated decision analysis and design support. <br /><br /> Inadequate information availability, combinatorial complexity, subjective and uncertain preferences, and cognitive biases of decision makers often hamper the procurement of a superior layout configuration. Consequently, it is desirable to develop an intelligent decis
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6

Jung, Dongwon Jung. "Hierarchical Path Planning and Control of a Small Fixed-wing UAV: Theory and Experimental Validation." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19781.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Tsiotras, Panagiotis; Committee Member: Corban, Eric; Committee Member: Feron, Eric; Committee Member: Johnson, Eric; Committee Member: Vachtsevanos, George.
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7

Dezani, Henrique. "Otimização do fluxo do tráfego urbano modelado em redes de Petri utilizando algoritmo genético." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260782.

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Orientador: Furio Damiani<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-21T16:34:47Z (GMT). No. of bitstreams: 1 Dezani_Henrique_D.pdf: 4299449 bytes, checksum: 739b593ddd96b9124b1882d5510a0ce0 (MD5) Previous issue date: 2012<br>Resumo: O controle do tráfego urbano constitui um importante tópico de pesquisa nos dias atuais. De fato, a cada dia aumenta a quantidade de veículos trafegando nas vias urbanas, as quais nem sempre são modificadas para a melhoria do tráfego. A existência de transportes
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Zaghdoud, Radhia. "Hybridation d’algorithme génétique pour les problèmes des véhicules intelligents autonomes : applications aux infrastructures portuaires de moyenne taille." Thesis, Ecole centrale de Lille, 2015. http://www.theses.fr/2015ECLI0023/document.

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L’objectif de ce travail est de développer un système d’affectation des conteneurs aux véhicules autonomes intelligents (AIVs) dans un terminal à conteneurs. Dans la première phase, on a développé un système statique pour résoudre le problème multi-objectif optimisant la durée totale des opérations de déplacement des conteneurs, le temps d’attente des véhicules aux niveaux de points de chargement et de déchargement et l’équilibre de temps de travail entre les véhicules. L’approche proposée est l’algorithme génétique(AG). Une extension de cette approche a été ensuite effectuée pour corriger les
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9

Roberts, Christopher. "Genetic algorithms for cluster optimization." Thesis, University of Birmingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368792.

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10

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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Sjöblom, Niklas. "Evolutionary algorithms in statistical learning : Automating the optimization procedure." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160118.

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Scania has been working with statistics for a long time but has invested in becoming a data driven company more recently and uses data science in almost all business functions. The algorithms developed by the data scientists need to be optimized to be fully utilized and traditionally this is a manual and time consuming process. What this thesis investigates is if and how well evolutionary algorithms can be used to automate the optimization process. The evaluation was done by implementing and analyzing four variations of genetic algorithms with different levels of complexity and tuning paramete
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Ibn, Khedher Hatem. "Optimization and virtualization techniques adapted to networking." Thesis, Evry, Institut national des télécommunications, 2018. http://www.theses.fr/2018TELE0007/document.

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Dans cette thèse, on présente nos travaux sur la virtualisation dans le contexte de la réplication des serveurs de contenu vidéo. Les travaux couvrent la conception d’une architecture de virtualisation pour laquelle on présente aussi plusieurs algorithmes qui peuvent réduire les couts globaux à long terme et améliorer la performance du système. Le travail est divisé en plusieurs parties : les solutions optimales, les solutions heuristiques pour des raisons de passage à l’échelle, l’orchestration des services, l’optimisation multi-objective, la planification de services dans des réseaux actifs
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13

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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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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15

HomChaudhuri, Baisravan. "Genetic Algorithm based Simulation-Optimization for Fighting Wildfires." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1277133039.

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Ibn, Khedher Hatem. "Optimization and virtualization techniques adapted to networking." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2018. http://www.theses.fr/2018TELE0007.

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Dans cette thèse, on présente nos travaux sur la virtualisation dans le contexte de la réplication des serveurs de contenu vidéo. Les travaux couvrent la conception d’une architecture de virtualisation pour laquelle on présente aussi plusieurs algorithmes qui peuvent réduire les couts globaux à long terme et améliorer la performance du système. Le travail est divisé en plusieurs parties : les solutions optimales, les solutions heuristiques pour des raisons de passage à l’échelle, l’orchestration des services, l’optimisation multi-objective, la planification de services dans des réseaux actifs
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17

Andersen, Mats Grønning. "Reservoir Production Optimization Using Genetic Algorithms and Artificial Neural Networks." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9985.

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<p>This master's thesis has investigated how methods from artificial intelligence (AI) can be used to perform and augment production optimization of sub-sea oil reservoirs. The methods involved in this work are genetic algorithms (GAs) and artificial neural networks (ANNs). Different optimization schemes were developed by the author to perform production optimization on oil reservoir simulator models. The optimization involves finding good input parameter values for certain properties of the model, relating to how the wells in the oil reservoir operate. The research involves straightforward
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Hernández, Pibernat Hugo. "Swarm intelligence techniques for optimization and management tasks insensor networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/81861.

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The main contributions of this thesis are located in the domain of wireless sensor netorks. More in detail, we introduce energyaware algorithms and protocols in the context of the following topics: self-synchronized duty-cycling in networks with energy harvesting capabilities, distributed graph coloring and minimum energy broadcasting with realistic antennas. In the following, we review the research conducted in each case. We propose a self-synchronized duty-cycling mechanism for sensor networks. This mechanism is based on the working and resting phases of natural ant colonies, which show
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Pierrot, Henri Jan. "Artificial intelligence architectures for classifying conjoined data." Australasian Digital Thesis Program, 2007. http://adt.lib.swin.edu.au/public/adt-VSWT20070426.102059/index.html.

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Thesis (MSc) - Information and Communication Technology, Swinburne University of Technology, 2007.<br>Submitted in partial fulfilment of the requirements for the degree of Master of Science (IT), [Information and Communication Technology], Swinburne University of Technology - 2007. Typescript. Includes bibliographical references.
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Waltsburger, Hugo. "Methodology and tooling for energy-efficient neural networks computation and optimization." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST195.

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Les réseaux de neurones ont connu d'impressionnants développements depuis l'émergence de l'apprentissage profond, vers 2012, et sont désormais l'état de l'art de toute une gamme de tâches automatisées, telles que le traitement automatique du langage naturel, la classification, la prédiction, etc. Néanmoins, dans un contexte où la recherche se focalise sur l'optimisation d'un unique indicateur de performance -- typiquement, le taux d'exactitude --, il apparaît que les performances tendent à croître de façon fiable, voire prévisible, en fonction de la taille du jeu de données d'entraînement, du
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21

Wååg, Håkan. "Development of a Framework for Genetic Algorithms." Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-11537.

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<p>Genetic algorithms is a method of optimization that can be used tosolve many different kinds of problems. This thesis focuses ondeveloping a framework for genetic algorithms that is capable ofsolving at least the two problems explored in the work. Otherproblems are supported by allowing user-made extensions.The purpose of this thesis is to explore the possibilities of geneticalgorithms for optimization problems and artificial intelligenceapplications.To test the framework two applications are developed that look attwo distinct problems, both of which aim at demonstrating differentparts. The
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Reiling, Anthony J. "Convolutional Neural Network Optimization Using Genetic Algorithms." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1512662981172387.

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23

Jedor, Matthieu. "Bandit algorithms for recommender system optimization." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASM027.

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Dans cette thèse de doctorat, nous étudions l'optimisation des systèmes de recommandation dans le but de fournir des suggestions de produits plus raffinées pour un utilisateur.La tâche est modélisée à l'aide du cadre des bandits multi-bras.Dans une première partie, nous abordons deux problèmes qui se posent fréquemment dans les systèmes de recommandation : le grand nombre d'éléments à traiter et la gestion des contenus sponsorisés.Dans une deuxième partie, nous étudions les performances empiriques des algorithmes de bandit et en particulier comment paramétrer les algorithmes traditionnels pour
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Veshchezerova, Margarita. "Quantum algorithms for energy management optimization problems." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0346.

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Le domaine du management de l'énergie implique de nombreux problèmes d'optimisation combinatoire connus pour être difficiles. L'émergence des ordinateurs quantiques suggère de nouvelles approches pour ces problèmes. Pour les machines du futur proche, les heuristiques quantiques variationnelles telles que QAOA, qui peuvent tirer parti de la puissance de calcul des ordinateurs quantiques imparfaits, sont particulièrement prometteuses. Nous explorons le potentiel des algorithmes quantiques variationnels pour des problèmes d'optimisation issus du domaine de "smart charging" des véhicules électriqu
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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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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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Dang, Hieu. "Adaptive multiobjective memetic optimization: algorithms and applications." Journal of Cognitive Informatics and Natural Intelligence, 2012. http://hdl.handle.net/1993/30856.

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The thesis presents research on multiobjective optimization based on memetic computing and its applications in engineering. We have introduced a framework for adaptive multiobjective memetic optimization algorithms (AMMOA) with an information theoretic criterion for guiding the selection, clustering, and local refinements. A robust stopping criterion for AMMOA has also been introduced to solve non-linear and large-scale optimization problems. The framework has been implemented for different benchmark test problems with remarkable results. This thesis also presents two applications of these
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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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Reghelin, Ricardo. "Um modelo de gerenciamento microscópico centralizado de tráfego de veículos inteligentes em um segmento de rodovia." Universidade Tecnológica Federal do Paraná, 2014. http://repositorio.utfpr.edu.br/jspui/handle/1/953.

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Este trabalho insere-se na área de pesquisa de sistemas de transporte inteligente e mobilidade urbana buscando um cenário onde a infraestrutura rodoviária é capaz de monitorar um tráfego exclusivo de veículos inteligentes que não dependem de motoristas para serem guiados. A principal contribuição do trabalho é o desenvolvimento de uma solução matemática para otimizar o gerenciamento microscópico centralizado do tráfego de veículos inteligentes em trechos (segmentos) de rodovia. Para isto é apresentado um modelo de otimização baseado em Programação Linear Inteira Mista (MILP), que determina um
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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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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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DeBruyne, Sandra DeBruyne. "Bio-Inspired Evolutionary Algorithms for Multi-Objective Optimization Applied to Engineering Applications." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1542282067378143.

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Souza, Kleymilson do Nascimento. "Optimization in calculation of active part three phase distribution transformer with use genetic algorithms aiming better efficiency and less cost." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8364.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>The present work is a study of a methodology that seeks to be more economical and efficient compared to traditional methods, the design of three phase distribution transformers. To this end, we use a tool of Computational Intelligence, based on previous calculations made in the traditional way by manufacturing industries and books that address this matter. It is evident here, another way to design the active part of the transformer, the dimension of the core and coil, for this, used Genetic Algorithms (GA) which will assist in the
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Querry, Stephane. "Stochastic optimization by evolutionary methods applied to autonomous aircraft flight control." Thesis, Strasbourg, 2014. http://www.theses.fr/2014STRAD031.

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Le but de ce doctorat est de déterminer dans quelle mesure les algorithmes issus de l’intelligence artificielle, principalement les Algorithmes Evolutionnaires et la Programmation Génétique, pourraient aider les algorithmes de l’automatique classique afin de permettre aux engins autonomes de disposer de capacités bien supérieures, et ce dans les domaines de l’identification, de la planification de trajectoire, du pilotage et de la navigation.De nouveaux algorithmes ont été développés, dans les domaines de l’identification, de la planification de trajectoire, de la navigation et du contrôle, et
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Pratap, Rana Jitendra. "Design and Optimization of Microwave Circuits and Systems Using Artificial Intelligence Techniques." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7225.

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In this thesis, a new approach combining neural networks and genetic algorithms is presented for microwave design. In this method, an accurate neural network model is developed from the experimental data. This neural network model is used to perform sensitivity analysis and derive response surfaces. An innovative technique is then applied in which genetic algorithms are coupled with the neural network model to assist in synthesis and optimization. The proposed method is used for modeling and analysis of circuit parameters for flip chip interconnects up to 35 GHz, as well as for design of multi
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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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Loshchilov, Ilya. "Surrogate-Assisted Evolutionary Algorithms." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00823882.

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Les Algorithmes Évolutionnaires (AEs) ont été très étudiés en raison de leur capacité à résoudre des problèmes d'optimisation complexes en utilisant des opérateurs de variation adaptés à des problèmes spécifiques. Une recherche dirigée par une population de solutions offre une bonne robustesse par rapport à un bruit modéré et la multi-modalité de la fonction optimisée, contrairement à d'autres méthodes d'optimisation classiques telles que les méthodes de quasi-Newton. La principale limitation de AEs, le grand nombre d'évaluations de la fonction objectif, pénalise toutefois l'usage des AEs pour
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Mhedhbi, Imen. "Ordonnancement d'ateliers de traitements de surfaces pour une production mono-robot/multi-produits : Résolution et étude de la robustesse." Thesis, Ecole centrale de Lille, 2011. http://www.theses.fr/2011ECLI0004/document.

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Les travaux de recherche de ce mémoire portent sur la contribution à l’ordonnancement et à la robustesse d’ateliers de traitement de surface pour une production mono-robot/multi-produits.Une ligne de traitement de surface est constituée d’une succession de cuves dans lesquelles une opération chimique, de durée définie sur un intervalle de temps, appelé fenêtre, doit être réalisée. Ce type de ligne est en particulier contraint par un robot, se déplaçant sur un rail au dessus des cuves et assurant le transport du produit à traiter. Ce problème d’ordonnancement traité, appelé SHMP (Single-Hoist/M
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Douib, Ameur. "Algorithmes bio-inspirés pour la traduction automatique statistique." Thesis, Université de Lorraine, 2019. http://www.theses.fr/2019LORR0005/document.

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Différentes composantes des systèmes de traduction automatique statistique sont considérées comme des problèmes d'optimisations. En effet, l'apprentissage du modèle de traduction, le décodage et l'optimisation des poids de la fonction log-linéaire sont trois importants problèmes d'optimisation. Savoir définir les bons algorithmes pour les résoudre est l'une des tâches les plus importantes afin de mettre en place un système de traduction performant. Plusieurs algorithmes d'optimisation sont proposés pour traiter les problèmes d'optimisation du décodeur. Ils sont combinés pour résoudre, d'une pa
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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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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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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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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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Dahmane, Yassir. "Gestion d'énergie optimisée étendue véhicules infrastructures." Thesis, Ecole centrale de Nantes, 2020. http://www.theses.fr/2020ECDN0047.

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Cette thèse de doctorat s’inscrit dans le cadre de la chaire Renault/Centrale Nantes sur l’amélioration des performances des véhicules électriques (EV/HEV). Elle est dédiée à la problématique de la gestion de la recharge des véhicules électriques, en utilisant des algorithmes d’optimisation et des stratégies de recharge intelligentes. Dans ce cadre, plusieurs contributions ont été proposées sur les sujets de la recharge intelligente d’une voiture électrique et la gestion de la recharge d’une flotte de véhicules électriques, en considérant les contraintes de mobilités (SOC désiré à la fin de la
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Jiménez, García Brian. "Development and optimization of high-performance computational tools for protein-protein docking." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/398790.

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Computing has pushed a paradigm shift in many disciplines, including structural biology and chemistry. This change has been mainly driven by the increase in performance of computers, the capacity of dealing with huge amounts of experimental and analysis data and the development of new algorithms. Thanks to these advances, our understanding on the chemistry that supports life has increased and it is even more sophisticated that we had never imagined before. Proteins play a major role in nature and are often described as the factories of the cell as they are involved in virtually all importan
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Muthuswamy, Shanthi. "Discrete particle swarm optimization algorithms for orienteering and team orienteering problems." Diss., Online access via UMI:, 2009.

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Douib, Ameur. "Algorithmes bio-inspirés pour la traduction automatique statistique." Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0005.

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Différentes composantes des systèmes de traduction automatique statistique sont considérées comme des problèmes d'optimisations. En effet, l'apprentissage du modèle de traduction, le décodage et l'optimisation des poids de la fonction log-linéaire sont trois importants problèmes d'optimisation. Savoir définir les bons algorithmes pour les résoudre est l'une des tâches les plus importantes afin de mettre en place un système de traduction performant. Plusieurs algorithmes d'optimisation sont proposés pour traiter les problèmes d'optimisation du décodeur. Ils sont combinés pour résoudre, d'une pa
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Montero, Elisabeth. "Calibration strategies for bio-inspired population-based algorithms that solve combinatorial optimization problems." Nice, 2011. http://www.theses.fr/2011NICE4040.

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La sélection de valeurs adéquates pour les paramètres des algorithmes bio-inspirés est un processus crucial pour obtenir de bonnes performances. C’est un processus complexe étant donné que les valeurs des paramètres dépendent en général du problème que l’on cherche à résoudre. Il est de plus très coûteux en temps, et les paramètres ne sont pas complètement indépendants entre eux. La première contribution de cette thèse consiste en une étude comparative des caractéristiques et performances des différentes méthodes connues dans la littérature pour ajuster les paramètres, en analysant leurs avant
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Quick, R. J. "An analysis of the use of general methods to assess the difficulty of function optimization for genetic algorithms." Thesis, University of East Anglia, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249447.

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Miglioretti, Federico. "Développement d'un modèle avancé multi-champs pour l'étude de profil d'aile intelligent." Thesis, Paris 10, 2013. http://www.theses.fr/2013PA100054/document.

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Dans le domaine de l’aéronautique, l’acception ‘shape morphing’ a été utilisée pour identifier ces avions qui subissent certaine modifications géométrique pour améliorer leur adaptation au différents profils de missions. Différemment de la solution classique, celle ‘shape morphing’ exige : une distribution d’actionnement avec une densité de puissance élevée, une mécanisation des structures, des revêtements souples, et le développement des loi de contrôle. Dans ce scénario, un modèle capable reconnaitre l'insertion de capteur et d'actionneur de nouvelle génération, et capable de réduire au mini
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