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Artykuły w czasopismach na temat "Algorithmes inspirés par la nature"
Bouchard, Anne-Marie. "« Mission sainte ». Rhétorique de l’invention de l’art social et pratiques artistiques dans la presse anarchiste de la fin du XIXe siècle". Études littéraires 40, nr 3 (15.02.2010): 101–14. http://dx.doi.org/10.7202/039247ar.
Pełny tekst źródłaSingh, Amrit Pal, Chetna Gupta, Rashpal Singh i Nandini Singh. "A Comparative Analysis of Evolutionary Algorithms for Data Classification Using KEEL Tool". International Journal of Swarm Intelligence Research 12, nr 1 (styczeń 2021): 17–28. http://dx.doi.org/10.4018/ijsir.2021010102.
Pełny tekst źródłaZIDAOUI, I., C. JOANNIS, J. WERTEL, S. ISEL, C. WEMMERT, J. VAZQUEZ i M. DUFRESNE. "Utilisation de l’intelligence artificielle pour la validation des mesures en continu de la pollution des eaux usées". Techniques Sciences Méthodes 11 (21.11.2022): 39–51. http://dx.doi.org/10.36904/tsm/202211039.
Pełny tekst źródłaFortin, J. P., R. Moussa, C. Bocquillon i J. P. Villeneuve. "Hydrotel, un modèle hydrologique distribué pouvant bénéficier des données fournies par la télédétection et les systèmes d'information géographique". Revue des sciences de l'eau 8, nr 1 (12.04.2005): 97–124. http://dx.doi.org/10.7202/705215ar.
Pełny tekst źródłaUllah, Ibrar, Zar Khitab, Muhammad Khan i Sajjad Hussain. "An Efficient Energy Management in Office Using Bio-Inspired Energy Optimization Algorithms". Processes 7, nr 3 (7.03.2019): 142. http://dx.doi.org/10.3390/pr7030142.
Pełny tekst źródłaGhasarian, Christian. "Altérités liminales. À propos de quelques usages contemporains de plantes psychotropes". Drogues, santé et société 16, nr 2 (13.11.2017): 55–75. http://dx.doi.org/10.7202/1041853ar.
Pełny tekst źródłaUllah, Ibrar, i Sajjad Hussain. "Time-Constrained Nature-Inspired Optimization Algorithms for an Efficient Energy Management System in Smart Homes and Buildings". Applied Sciences 9, nr 4 (23.02.2019): 792. http://dx.doi.org/10.3390/app9040792.
Pełny tekst źródłaGouvard, Jean-Michel. "Samuel Beckett lecteur de L'Etranger". Irish Journal of French Studies 19, nr 1 (9.12.2019): 186–206. http://dx.doi.org/10.7173/164913319827945675.
Pełny tekst źródłaBacci, M. Livi, i Gustavo De Santis. "Population reproduction. A method of breakdown and estimation (Population, 5,1997)". Population Vol. 53, HS2 (2.12.1998): 245–66. http://dx.doi.org/10.3917/popu.p1998.10n2.0266.
Pełny tekst źródłaLivi Bacci, Massimo, i Gustavo De Santis. "La reproduction des populations : une méthode de décomposition et d'estimation". Population Vol. 52, nr 5 (1.05.1997): 1119–42. http://dx.doi.org/10.3917/popu.p1997.52n5.1142.
Pełny tekst źródłaRozprawy doktorskie na temat "Algorithmes inspirés par la nature"
Zidi, Abir. "Méthodes par sous-espaces et algorithmes d’optimisation bio-inspirés pour le débruitage de signaux multidimensionnels et applications". Thesis, Ecole centrale de Marseille, 2017. http://www.theses.fr/2017ECDM0003/document.
Pełny tekst źródłaThis thesis is devoted to study matrix and tensor ranks of multidimensional signalsand to the development of methods for estimating these ranks in the frameworkof the wavelet transform. For this study, we used the wavelet packet decompositionand the multilinear algebra. A bio-inspired stochastic optimization methodhas been adapted, with the ultimate objective of suppressing noise in multidimensionalimages. In order to ensure this, we have estimated the different values ofthe dimensions of the tensor subspace for all the modes of the coefficients of thewavelet packets.We have applied the proposed denoising methods to various multidimensionalimages: RGB images, multispectral images extracted from hyperspectralimages of metal parts, plant fluorescence images, and multispectral RX images.Finally, a comparative study was carried out with three main types of algorithms: onthe one hand, the Perona-Malik method based on diffusion; Second, the truncationof HOSVD and MWF, and thirdly, a method based on wavelet packet decompositionand MWF, where the dimensions of the signal subspace are estimated by a statisticalcriterion rather than by an optimization method. The results are promising in termsof denoising in grund truth. Ultimately, we achieve an advantageous time savingduring the acquisition of hyperspectral images
Escobar-Zuniga, María-José. "Modèles bio-inspirés pour l'estimation et l'analyse de mouvement : reconnaissance d'actions et intégration du mouvement". Nice, 2009. http://www.theses.fr/2009NICE4050.
Pełny tekst źródłaThis thesis addresses the study of the motion perception in mammals and how bio-inspired systems can be applied to real applications. The first part of this thesis relates how the visual information is processed in the mammal's brains and how motion estimation is usually modeled. Based on this analysis of the state of the art, we propose a feedforward V1-MT core architecture. This feedforward V1-MT core architecture will be a basis to study two different kinds of applications. The first application is human action recognition, which is still a challenging problem in the computer vision community. We show how our bio-inspired method can be successfully applied to this real application. Interestingly, we show how several computational properties inspired from motion processing in mammals, allow us to reach high quality results, which will be compared to latest reference results. The second application of the bio-inspired architecture proposed in this thesis, is to consider the problem of motion integration for the solution of the aperture problem. We investigate the role of delayed V1 surround suppression, and how the 2D information extracted through this mechanism can be integrated to propose a solution for the aperture problem. Finally, we highlight a variety of important issues in the determination of motion estimation and additionally we present many potential avenues for future research efforts
Marcireau, Alexandre. "Vision par ordinateur évènementielle couleur : cadriciel, prototype et applications". Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS248.
Pełny tekst źródłaNeuromorphic engineering is a bio-inspired approach to sensors and computers design. It aims to mimic biological systems down to the transistor level, to match their unparalleled robustness and power efficiency. In this context, event-based vision sensors have been developed. Unlike conventional cameras, they feature independent pixels which asynchronously generate an output upon detecting changes in their field of view, with high temporal precision. These properties are not leveraged by conventional computer vision algorithms, thus a new paradigm has been devised. It advocates short calculations performed on each event to mimic the brain, and shows promise both for computer vision and as a model of biological vision. This thesis explores event-based computer vision to improve our understanding of visual perception and identify potential applications. We approach the issue through color, a mostly unexplored aspect of event-based sensors. We introduce a framework supporting color events, as well as two experimental devices leveraging it: a three-chip event-based camera performing absolute color measurements, and a visual psychophysics setup to study the role of precise-timing in the brain. We explore the possibility to apply the color sensor to the genetic engineering Brainbow method, and present a new mathematical model for the latter
Arcanjo, Diego Nascimento. "Metodologia multi-estágio para restabelecimento de sistemas elétricos de distribuição utilizando algoritmos bio-inspirados". Universidade Federal de Juiz de Fora, 2014. https://repositorio.ufjf.br/jspui/handle/ufjf/697.
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CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Neste trabalho é proposto uma metodologia multi-estágio utilizando algoritmos bio-inspirados para a resolução do processo de Restabelecimento de Sistemas Elétricos de Distribuição. O primeiro estágio consiste na solução de uma função multi-objetivo visando a determinação da configuração final das chaves do sistema após isolados os ramos defeituosos (configuração de pós-contingência). Neste estágio, a modelagem da função multi-objetivo busca uma configuração adequada de chaves para minimizar a carga não suprida, as perdas do sistema, o número de chaveamentos, penalizando as violações aos limites operativos do sistema e considerando a presença de consumidores prioritários. Adicionalmente, a restrição de radialidade é assegurada em cada configuração utilizando, caso necessário, uma técnica de abertura de laço. A partir da configuração final obtida no primeiro estágio, são identificadas as chaves que foram manobradas. O segundo estágio da metodologia busca a determinação da sequência de chaveamento levando em conta a minimização da energia não suprida. Essa formulação permite que o tempo de manobra das chaves possa ser considerado. Sendo necessário, é realizado, ainda neste estágio, cortes mínimos discretos de carga para cada manobra executada. Em ambos os estágios foram utilizadas algoritmos bio-inspirados como métodos de solução dos respectivos problemas de otimização não-lineares inteiros mistos. As técnicas utilizadas são: Algoritmos Genéticos, Método da Eco Localização de Morcegos (Bat Algorithm) e Método da Reprodução dos Pássaros Cuco (Cuckoo Search). Os desenvolvimentos do algoritmo proposto foi implementado no ambiente MatLab®. Os resultados obtidos foram comparados com outras metodologias conhecidas da literatura comprovando a eficiência e robustez da técnica proposta.
This dissertation proposes a methodology for solving multi-stage process of Restoration on Power Distribution Systems using Nature-Inspired Algorithms. The first stage consists in solving a fitness multi-objective function in order to determine the final configuration of the switches after the faulted branches were isolated (post-contingency configuration). In this stage the multi-objective function seeks through the suitable configuration to minimize the undelivered power, the power losses, the number of switching, penalizing for violation in the system operational limits and taking in consideration the presence of priority load in the system. Additionally the radiality constraint is improved using an open loop technique. After the final configuration is obtained, for the first stage, the switches which were maneuvered are identified. The second stage of the methodology is to determine the sequence of switching taking into account the minimization of energy not supplied. This formulation allows to consider the switching operation time. If necessary, the minimum discrete load shedding procedure is made for each maneuvered switch. In both stages Nature-Inspired Algorithms to solve mixed integer nonlinear programming problems were used. The techniques used are: Genetic Algorithms, Bat Algorithm and Cuckoo Search. The developments of the proposed algorithm were implemented in MatLab ® environment. The results obtained were compared with other well-known methodologies showing the efficiency and robustness of the proposed technique.
Kabalan, Hassan. "Minimizing Time Delay between Mobiles Exchanging Data in an Industrial Wireless Network Cell". Versailles-St Quentin en Yvelines, 2013. http://www.theses.fr/2013VERS0026.
Pełny tekst źródłaThe purpose of this study is to discuss the exchanges between mobiles moving in an industrial environment. To reach this study, a simulation approach has been chosen in order reach this study. This novel method aimed to minimize the exchange time between mobiles within an 802. 11 cell. The first step of our study represents the main points arising from this choice. Initially, we described the main existing models of spread and constraints of radio propagation. The selection of relevant model propagation for the selected industrial site is based on several measurements in domain indoor. The implementation of the ITU Pr1238 model was performed by adjusting the parameters of the various models; we decided to select the model recommended by the ITU under reference Pr1238 as our model that is used for the industrial by the NS2 Simulator. The second step was to come up with a modified method of the DCF in order to minimize the necessary time so that all mobiles within the same cell of an 802. 11b network can exchange the shared information during their co-operation. The optimization of the exchanges time between mobiles was carried out by modifying the binary exponential aspect of the Back-off algorithm as a first phase to reduce the access time to the radio medium. Whereas in the second phase this modified and enhanced BEB method was supported by a Neural Network Function to give us precise output parameters. Those outputs will be learned by the Neural Network Function and will be used in the NS2 simulation to get the new results of the time delay to compare them with the standard BEB method results
Abou, Rjeily Yves. "Management and sustainability of urban drainage systems within smart cities". Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10085/document.
Pełny tekst źródłaThis work presents the Real Time Control (RTC) of Urban Drainage Systems (UDS) within smart cities. RTC requires to understand the UDS operation and to perform simulations on measured, forecasted and synthetic events. Therefore, a Real Time Monitoring system (RTM) was implemented on the experimental site, and combined to a simulation model. A model auto-calibration process and hydraulic boundary conditions forecast system were developed, in order to simulate the hydrologic-hydraulic response. Aiming to protect the citizens and mitigate flooding consequences, the RTC was composed of a flooding forecast system followed by a dynamic management strategy. The proposed concept and methodologies were applied and evaluated on the Lille 1 University Campus, within the SunRise project. RTM was found very helpful in understanding the system operation and calibrating the simulation model. Genetic Algorithm followed by Pattern Search formed an effective auto-calibration procedure for the simulation model. NARX Neural Network was developed and validated for forecasting hydraulic boundary conditions. Once understanding the UDS operations, the RTC was developed. NARX Neural Network was found capable to forecast flooding events. A dynamic management for increasing a tank retention capacity, was studied based on calculating a Valve State Schedule, and results were satisfying by using Genetic Algorithm and a modified form of Artificial Bee Colony, as optimization methods. A qualitative management was also proposed and tested for verifying its potential in reducing flooding volumes
Causo, Matteo. "Neuro-Inspired Energy-Efficient Computing Platforms". Thesis, Lille 1, 2017. http://www.theses.fr/2017LIL10004/document.
Pełny tekst źródłaBig Data highlights all the flaws of the conventional computing paradigm. Neuro-Inspired computing and other data-centric paradigms rather address Big Data to as resources to progress. In this dissertation, we adopt Hierarchical Temporal Memory (HTM) principles and theory as neuroscientific references and we elaborate on how Bayesian Machine Learning (BML) leads apparently totally different Neuro-Inspired approaches to unify and meet our main objectives: (i) simplifying and enhancing BML algorithms and (ii) approaching Neuro-Inspired computing with an Ultra-Low-Power prospective. In this way, we aim to bring intelligence close to data sources and to popularize BML over strictly constrained electronics such as portable, wearable and implantable devices. Nevertheless, BML algorithms demand for optimizations. In fact, their naïve HW implementation results neither effective nor feasible because of the required memory, computing power and overall complexity. We propose a less complex on-line, distributed nonparametric algorithm and show better results with respect to the state-of-the-art solutions. In fact, we gain two orders of magnitude in complexity reduction with only algorithm level considerations and manipulations. A further order of magnitude in complexity reduction results through traditional HW optimization techniques. In particular, we conceive a proof-of-concept on a FPGA platform for real-time stream analytics. Finally, we demonstrate we are able to summarize the ultimate findings in Machine Learning into a generally valid algorithm that can be implemented in HW and optimized for strictly constrained applications
Michaud, Dorian. "Indexation bio-inspirée pour la recherche d'images par similarité". Thesis, Poitiers, 2018. http://www.theses.fr/2018POIT2288/document.
Pełny tekst źródłaImage Retrieval is still a very active field of image processing as the number of available image datasets continuously increases.One of the principal objectives of Content-Based Image Retrieval (CBIR) is to return the most similar images to a given query with respect to their visual content.Our work fits in a very specific application context: indexing small expert image datasets, with no prior knowledge on the images. Because of the image complexity, one of our contributions is the choice of effective descriptors from literature placed in direct competition.Two strategies are used to combine features: a psycho-visual one and a statistical one.In this context, we propose an unsupervised and adaptive framework based on the well-known bags of visual words and phrases models that select relevant visual descriptors for each keypoint to construct a more discriminative image representation.Experiments show the interest of using this this type of methodologies during a time when convolutional neural networks are ubiquitous.We also propose a study about semi interactive retrieval to improve the accuracy of CBIR systems by using the knowledge of the expert users
Boisard, Olivier. "Optimization and implementation of bio-inspired feature extraction frameworks for visual object recognition". Thesis, Dijon, 2016. http://www.theses.fr/2016DIJOS016/document.
Pełny tekst źródłaIndustry has growing needs for so-called “intelligent systems”, capable of not only ac-quire data, but also to analyse it and to make decisions accordingly. Such systems areparticularly useful for video-surveillance, in which case alarms must be raised in case ofan intrusion. For cost saving and power consumption reasons, it is better to perform thatprocess as close to the sensor as possible. To address that issue, a promising approach isto use bio-inspired frameworks, which consist in applying computational biology modelsto industrial applications. The work carried out during that thesis consisted in select-ing bio-inspired feature extraction frameworks, and to optimize them with the aim toimplement them on a dedicated hardware platform, for computer vision applications.First, we propose a generic algorithm, which may be used in several use case scenarios,having an acceptable complexity and a low memory print. Then, we proposed opti-mizations for a more global framework, based on precision degradation in computations,hence easing up its implementation on embedded systems. Results suggest that whilethe framework we developed may not be as accurate as the state of the art, it is moregeneric. Furthermore, the optimizations we proposed for the more complex frameworkare fully compatible with other optimizations from the literature, and provide encourag-ing perspective for future developments. Finally, both contributions have a scope thatgoes beyond the sole frameworks that we studied, and may be used in other, more widelyused frameworks as well
Loshchilov, Ilya. "Surrogate-Assisted Evolutionary Algorithms". Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00823882.
Pełny tekst źródłaKsiążki na temat "Algorithmes inspirés par la nature"
A, Vasuki. Nature-Inspired Optimization Algorithms. Taylor & Francis Group, 2020.
Znajdź pełny tekst źródłaA, Vasuki. Nature-Inspired Optimization Algorithms. Taylor & Francis Group, 2020.
Znajdź pełny tekst źródłaA, Vasuki. Nature-Inspired Optimization Algorithms. Taylor & Francis Group, 2020.
Znajdź pełny tekst źródłaA, Vasuki. Nature-Inspired Optimization Algorithms. Taylor & Francis Group, 2022.
Znajdź pełny tekst źródłaA, Vasuki. Nature-Inspired Optimization Algorithms. Taylor & Francis Group, 2020.
Znajdź pełny tekst źródłaDey, Nilanjan, Amira S. Ashour, Jagatheesan Kallannan i Anand Baskaran. Bio-Inspired Algorithms in PID Controller Optimization. Taylor & Francis Group, 2018.
Znajdź pełny tekst źródłaDey, Nilanjan, Amira S. Ashour, Jagatheesan Kallannan i Anand Baskaran. Bio-Inspired Algorithms in PID Controller Optimization. Taylor & Francis Group, 2018.
Znajdź pełny tekst źródłaDey, Nilanjan, Amira S. Ashour, Jagatheesan Kallannan i Anand Baskaran. Bio-Inspired Algorithms in PID Controller Optimization. Taylor & Francis Group, 2018.
Znajdź pełny tekst źródłaDey, Nilanjan, Amira S. Ashour, Jagatheesan Kallannan i Anand Baskaran. Bio-Inspired Algorithms in PID Controller Optimization. Taylor & Francis Group, 2018.
Znajdź pełny tekst źródłaLivre de Coloriage Mathématique Pour Adultes: 100 Pages, Beaux Motifs Mathématiques Inspirés Par la Nature, l'art, le Mandala, les Animaux. Independently Published, 2021.
Znajdź pełny tekst źródłaCzęści książek na temat "Algorithmes inspirés par la nature"
Sahle, Kalkidan A., i Abdulkerim M. Yibre. "Hybrid of Ensemble Machine Learning and Nature-Inspired Algorithms for Divorce Prediction". W Pan-African Conference on Artificial Intelligence, 242–64. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57639-3_11.
Pełny tekst źródłaMounir, Mohamed, Mohamed Bakry El Mashade i Gurjot Singh Gaba. "Nature-Inspired-Based PTS for PAPR Reduction in OFDM Systems". W Advances in Computer and Electrical Engineering, 57–88. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1626-3.ch004.
Pełny tekst źródłaPanda, Madhumita, i Sujata Dash. "Automatic Test Data Generation Using Bio-Inspired Algorithms". W Advances in Computational Intelligence and Robotics, 140–59. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2857-9.ch008.
Pełny tekst źródłaPanda, Madhumita, i Sujata Dash. "Automatic Test Data Generation Using Bio-Inspired Algorithms". W Research Anthology on Recent Trends, Tools, and Implications of Computer Programming, 848–66. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3016-0.ch038.
Pełny tekst źródłaBhattacharyya, Pushpak, i Mitesh Khapra. "Word Sense Disambiguation". W Emerging Applications of Natural Language Processing, 22–51. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2169-5.ch002.
Pełny tekst źródłaLanza-Gutierrez, Jose M., Ricardo Soto, Broderick Crawford, Juan A. Gomez-Pulido, Nicolas Fernandez i Carlos Castillo. "Applying an Electromagnetism-Like Algorithm for Solving the Manufacturing Cell Design Problem". W Recent Developments in Intelligent Nature-Inspired Computing, 37–61. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2322-2.ch002.
Pełny tekst źródłaPrakash, Ved, Suman Pandey i Deepti Singh. "A Perspective View of Bio-Inspire Approaches Employing in Wireless Sensor Networks". W IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications, 18–31. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815049480124060004.
Pełny tekst źródłaCoello, C. A. C. "Evolutionary Multi-Objective Optimization in Finance". W Handbook of Research on Nature-Inspired Computing for Economics and Management, 74–89. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59140-984-7.ch006.
Pełny tekst źródłaGoel, Lavika, Lavanya B. i Pallavi Panchal. "Hybridization of Biogeography-Based Optimization and Gravitational Search Algorithm for Efficient Face Recognition". W Advances in Computational Intelligence and Robotics, 258–79. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7338-8.ch012.
Pełny tekst źródłaBonabeau, Eric, Marco Dorigo i Guy Theraulaz. "Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Networks". W Swarm Intelligence. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195131581.003.0006.
Pełny tekst źródłaStreszczenia konferencji na temat "Algorithmes inspirés par la nature"
Keunhyun Oh i Sung-Bae Cho. "A hybrid method of Dijkstra algorithm and evolutionary neural network for optimal Ms. Pac-Man agent". W 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC 2010). IEEE, 2010. http://dx.doi.org/10.1109/nabic.2010.5716312.
Pełny tekst źródłaBoudreau, Roger, i Clément M. Gosselin. "The Synthesis of Planar Parallel Manipulators With a Genetic Algorithm". W ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/mech-5957.
Pełny tekst źródłaHewing, Lukas, Dennis Gramlich, Chris Verhoek, Rafael Polonio, Joost Veenman, Carlos Ardura, Roland Tóth, Christian Ebenbauer, Carsten Scherer i Valentin Preda. "Enhancing the Guidance, Navigation and Control of Autonomous Parafoils using Machine Learning Methods". W ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-135.
Pełny tekst źródłaRaporty organizacyjne na temat "Algorithmes inspirés par la nature"
Arbour, William, Guy Lacroix i Steeve Marchand. Libération conditionnelle, réinsertion sociale et récidive criminelle. CIRANO, grudzień 2023. http://dx.doi.org/10.54932/likh8817.
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