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Relevant bibliographies by topics / Evolution Grammaticale

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Dissertations / Theses

Academic literature on the topic 'Evolution Grammaticale'

Author: Grafiati

Published: 8 June 2024

Last updated: 11 January 2025

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Dissertations / Theses on the topic "Evolution Grammaticale"

1

Harper, Robin Thomas Ross Computer Science &amp Engineering Faculty of Engineering UNSW. "Enhancing grammatical evolution." Awarded by:University of New South Wales. Computer Science & Engineering, 2010. http://handle.unsw.edu.au/1959.4/44843.

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Grammatical Evolution (GE) is a method of utilising a general purpose evolutionary algorithm to ???evolve??? programs written in an arbitrary BNF grammar. This thesis extends GE as follows: GE as an extension of Genetic Programming (GP) A novel method of automatically extracting information from the grammar is introduced. This additional information allows the use of GP style crossover which in turn allows GE to perform identically to a strongly typed GP system as well as a non-typed (or canonical) GP system. Two test problems are presented one which is more easily solved by the GP style cros

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2

Georgiou, Loukas. "Constituent grammatical evolution." Thesis, Bangor University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569460.

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Evolutionary algorithms are a competent nature-inspired approach for complex computational problem solving. One recent development is Grammatical Evolution, a grammar-based evolutionary algorithm which uses genotypes of variable length binary strings and a unique genotype-to-phenotype mapping process based on a BNF grammar definition describing the output language that is able to create valid individuals of an arbitrary structure or programming language. This study surveys Grammatical Evolution, identifies its most important issues, investigates the competence of the algorithm in a series of a

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3

Felin, Rémi. "Découverte évolutive de connaissance à partir de graphes de données RDF." Electronic Thesis or Diss., Université Côte d'Azur, 2024. https://theses.hal.science/tel-04874737.

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Les graphes de connaissance sont des collections de descriptions interconnectées d'entités (objets, événements ou concepts). Ils mettent les données en contexte par le biais de liens sémantiques, fournissant ainsi un cadre pour l'intégration, l'unification, l'analyse et le partage des données. Aujourd'hui, nous disposons d'un grand nombre de graphes de connaissance riches en données factuelles, dont la construction et l'enrichissement est une tâche relativement bien maîtrisée. Ce qui est plus difficile et plus coûteux, c'est de doter ces graphes de schémas, règles et contraintes qui permettent

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Zhang, Andrew H. M. Eng Massachusetts Institute of Technology. "Structured Grammatical Evolution applied to program synthesis." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122995.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (page 27).<br>Grammatical Evolution (GE) is an evolutionary algorithm that is gaining popularity due to its ability to solve problems where it would be impossible to explore every solution within a realistic time. Structured Grammati

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5

Crochepierre, Laure. "Apprentissage automatique interactif pour les opérateurs du réseau électrique." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0112.

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Dans le contexte de la transition énergétique et de l'augmentation des interconnexions entre les réseaux de transport d'électricité en Europe, les opérateurs du réseau français doivent désormais faire face à davantage de fluctuations et des dynamiques nouvelles sur le réseau. Pour garantir la sûreté de ce réseau, les opérateurs s'appuient sur des logiciels informatiques permettant de réaliser des simulations, ou de suivre l'évolution d'indicateurs créés manuellement par des experts grâce à leur connaissance du fonctionnement du réseau. Le gestionnaire de réseau de transport d'électricité franç

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Deodhar, Sushamna Shriniwas. "Using Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions in Genetic Epidemiology." NCSU, 2009. http://www.lib.ncsu.edu/theses/available/etd-10302009-181439/.

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A major goal of human genetics is the discovery and validation of genetic polymorphisms that predict common, complex diseases. It is hypothesized that complex diseases are due to a myriad of factors including environmental exposures and complex genetic models. This etiological complexity, coupled with rapid advances in genotyping technology present enormous theoretical and practical concerns for statistical and computational analysis. Specifically, the challenge presented by epistasis, or gene-gene interactions, has sparked the development of a multitude of statistical techniques over the year

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7

Neupane, Aadesh. "Emergence of Collective Behaviors in Hub-Based Colonies using Grammatical Evolution and Behavior Trees." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8827.

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Animals such as bees, ants, birds, fish, and others are able to efficiently perform complex coordinated tasks like foraging, nest-selection, flocking and escaping predators without centralized control or coordination. These complex collective behaviors are the result of emergence. Conventionally, mimicking these collective behaviors with robots requires researchers to study actual behaviors, derive mathematical models, and implement these models as algorithms. Since the conventional approach is very time consuming and cumbersome, this thesis uses an emergence-based method for the efficient evo

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Eilert, Pernilla. "Learning behaviour trees for simulated fighter pilots in airborne reconnaissance missions : A grammatical evolution approach." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156165.

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Fighter pilots often find themselves in situations where they need to make quick decisions. Therefore an intelligent decision support system that suggests how the fighter pilot should act in a specific situation is vital. The aim of this project is to investigate and evaluate grammatical evolution paired with behaviour trees to develop a decision support system. This support system should control a simulated fighter pilot during an airborne reconnaissance mission. This thesis evaluates the complexity of the evolved trees and the performance, and robustness of the algorithm. Key factors were id

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9

De, Silva Anthony Mihirana. "Grammar based feature generation for time-series prediction." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/10278.

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The application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This thesis proposes a systematic way for generating suitable features using context-free grammar. The notion of grammar families as a compact representation to generate a broad class of features is exploited. Implementation issues and wa

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10

Mehrmand, Arash. "A Factorial Experiment on Scalability of Search-based Software Testing." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4224.

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Software testing is an expensive process, which is vital in the industry. Construction of the test-data in software testing requires the major cost and knowing which method to use in order to generate the test data is very important. This paper discusses the performance of search-based algorithms (preferably genetic algorithm) versus random testing, in software test-data generation. A factorial experiment is designed so that, we have more than one factor for each experiment we make. Although many researches have been done in the area of automated software testing, this research differs from al

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