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Дисертації з теми "Evolutional computation"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Stanek, Edward Jason. "Computation of evolutionary change." [Ames, Iowa : Iowa State University], 2009.

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2

Dukkipati, Ambedkar. "ACE-Model: A Conceptual Evolutionary Model For Evolutionary Computation And Artificial Life." Thesis, Indian Institute of Science, 2002. https://etd.iisc.ac.in/handle/2005/3920.

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Darwinian Evolutionary system - a system satisfying the abstract conditions: reproduction with heritable variation, in a finite world, giving rise to Natural Selection encompasses a complex and subtle system of interrelated theories, whose substantive transplantation to any artificial medium let it be mathematical model or computational model - will be very far from easy. There are two motives in bringing Darwinian evolution into computational frameworks: one to understand the Darwinian evolution, and the other is to view Darwinian evolution - that carries out controlled adaptive-stochastic se

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3

Dukkipati, Ambedkar. "ACE-Model: A Conceptual Evolutionary Model For Evolutionary Computation And Artificial Life." Thesis, Indian Institute of Science, 2002. http://hdl.handle.net/2005/47.

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Darwinian Evolutionary system - a system satisfying the abstract conditions: reproduction with heritable variation, in a finite world, giving rise to Natural Selection encompasses a complex and subtle system of interrelated theories, whose substantive transplantation to any artificial medium let it be mathematical model or computational model - will be very far from easy. There are two motives in bringing Darwinian evolution into computational frameworks: one to understand the Darwinian evolution, and the other is to view Darwinian evolution - that carries out controlled adaptive-stochastic se

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4

Pryde, Meinwen. "Evolutionary computation and experimental design." Thesis, University of South Wales, 2001. https://pure.southwales.ac.uk/en/studentthesis/evolutionary-computation-and-experimental-design(acc0a9a5-aa01-4d4a-aa4e-836ee5190a48).html.

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This thesis describes the investigations undertaken to produce a novel hybrid optimisation technique that combines both global and local searching to produce good solutions quickly. Many evolutionary computation and experimental design methods are considered before genetic algorithms and evolutionary operation are combined to produce novel optimisation algorithms. A novel piece of software is created to run two and three factor evolutionary operation experiments. A range of new hybrid small population genetic algorithms are created that contain evolutionary operation in all generations (static

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5

Schmidt, Christian. "Evolutionary computation in stochastic environments." Karlsruhe Univ.-Verl. Karlsruhe, 2007. http://www.uvka.de/univerlag/volltexte/2007/231/.

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6

Rohlfshagen, Philipp. "Molecular Algorithms for Evolutionary Computation." Thesis, University of Birmingham, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522032.

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7

Kaucic, Massimiliano. "Evolutionary computation for trading systems." Doctoral thesis, Università degli studi di Trieste, 2008. http://hdl.handle.net/10077/3093.

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2007/2008<br>Evolutionary computations, also called evolutionary algorithms, consist of several heuristics, which are able to solve optimization tasks by imitating some aspects of natural evolution. They may use different levels of abstraction, but they are always working on populations of possible solutions for a given task. The basic idea is that if only those individuals of a population which meet a certain selection criteria reproduce, while the remaining individuals die, the population will converge to those individuals that best meet the selection criteria. If imperfect reproduction

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8

Chellapilla, Kumar H. "Designing effective evolutionary computations /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3208643.

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9

Deugo, Dwight L. (Dwight Lorne) Carleton University Dissertation Computer Science. "Computational evolutionary epistemology." Ottawa, 1993.

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10

Yogev, Or Antonsson Erik K. Antonsson Erik K. "Computational evolutionary embryogeny /." Diss., Pasadena, Calif. : California Institute of Technology, 2009. http://resolver.caltech.edu/CaltechETD:etd-01162009-072031.

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11

vanCort, Tracy. "Computational Evolutionary Linguistics." Scholarship @ Claremont, 2001. https://scholarship.claremont.edu/hmc_theses/137.

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Анотація:

Languages and species both evolve by a process of repeated divergences, which can be described with the branching of a phylogenetic tree or phylogeny. Taking advantage of this fact, it is possible to study language change using computational tree building techniques developed for evolutionary biology. Mathematical approaches to the construction of phylogenies fall into two major categories: character based and distance based methods. Character based methods were used in prior work in the application of phylogenetic methods to the Indo-European family of languages by researchers at the Universi

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12

Hoang, Tuan-Hoa Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "Evolutionary Developmental Evaluation : the Interplay between Evolution and Development." Awarded by:University of New South Wales - Australian Defence Force Academy. Information Technology & Electrical Engineering, 2009. http://handle.unsw.edu.au/1959.4/44870.

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This thesis was inspired by the difficulties of artificial evolutionary systems in finding elegant and well structured, regular solutions. That is that the solutions found are usually highly disorganized, poorly structured and exhibit limited re-use, resulting in bloat and other problems. This is also true of previous developmental evolutionary systems, where structural regularity emerges only by chance. We hypothesise that these problems might be ameliorated by incorporating repeated evaluations on increasingly difficult problems in the course of a developmental process. This thesis introd

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13

Nguyen, Duy Huu Manh. "Analysing electricity markets with evolutionary computation." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2002. http://theses.library.uwa.edu.au/adt-WU2003.0018.

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The use of electricity in 21st century living has been firmly established throughout most of the world, correspondingly the infrastructure for production and delivery of electricity to consumers has matured and stabilised. However, due to recent technical and environmental–political developments, the electricity infrastructure worldwide is undergoing major restructuring. The forces driving this reorganisation are a complex interplay of technical, environmental, economic and political factors. The general trend of the reorganisation is a dis–aggregation of the previously integrated functions of

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14

Saks, Philip. "Evolutionary Computation in Financial Decision Making." Thesis, University of Essex, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495562.

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This thesis considers genetic programming (GP) for evolving financial trading strategies. The traditional approach in the literature is to represent a trading strategy, or a program, as a single decision tree. This thesis proposes a general multiple tree framework for dynamic decision making, where evaluation is contingent on the previous output ofthe program. The conditional multiple tree structure nests the single tree as a special case. TheoreticalIy, it is a superior alternative, but in practice this is not always the case. It depends on the underlying problem, and is basically a manifesta

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15

Rostami, Shahin. "Preference focussed many-objective evolutionary computation." Thesis, Manchester Metropolitan University, 2014. http://e-space.mmu.ac.uk/347083/.

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Solving complex real-world problems often involves the simultaneous optimisation of multiple con icting performance criteria, these real-world problems occur in the elds of engineering, economics, chemistry, manufacturing, physics and many more. The optimisation process usually involves some design challenges in the form of the optimisation of a number of objectives and constraints. There exist many traditional optimisation methods (calculus based, random search, enumerative, etc.), however, these only o er a single solution in either adequate performance in a narrow problem domain or inadequa

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16

Bashir, Hassan Abdullahi. "Global optimization with hybrid evolutionary computation." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/global-optimization-with-hybrid-evolutionary-computation(0392a891-dfae-4063-baf1-992cd0dc7df2).html.

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An investigation has been made into hybrid systems which include stochastic and deterministic optimization. This thesis aims to provide new and relevant insights into the design of the nature-inspired hybrid optimization paradigms. It combines evolutionary and gradient-based methods. These hybrid evolutionary methods yield improved performance when applied to complex global optimization tasks and recent research has shown many of such hybridization policies. The thesis has three broad contributions. Firstly, by examination of stochastic optimization, supported by case studies, we utilised the

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17

Kramer, Oliver. "Self-adaptive heuristics for evolutionary computation." Berlin Heidelberg Springer, 2008. http://d-nb.info/991461002/34.

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18

Skolicki, Zbigniew Maciej. "An analysis of island models in evolutionary computation." Fairfax, VA : George Mason University, 2007. http://hdl.handle.net/1920/2954.

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Анотація:

Thesis (Ph. D.)--George Mason University, 2007.<br>Title from PDF t.p. (viewed Jan. 22, 2008). Thesis director: Kenneth A. De Jong. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science. Vita: p. 422. Includes bibliographical references (p. 413-421). Also available in print.

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19

Holly, Matthew James. "An evolutionary computation framework for microarchitecture design /." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=78379.

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The manual design of microarchitecture is labour-intensive and unlikely to generate good counterintuitive solutions. A designer, guided solely by intuition, is forced to manipulate many interdependent parameters by hand, introducing simplifying assumptions that artificially limit the potential of the architecture. The sheer number of possible configurations precludes an exhaustive exploration of the entire search space. Evolutionary computation is a domain-independent, highly scalable technique capable of producing innovative designs with reasonable computational cost.<br>This study pre

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20

AMARAL, JOSE FRANCO MACHADO DO. "SYNTHESIS OF FUZZY SYSTEMS THROUGH EVOLUTIONARY COMPUTATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3550@1.

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UNIVERSIDADE DO ESTADO DO RIO DE JANEIRO<br>Síntese de Sistemas Fuzzy por Computação Evolucionária propõe uma metodologia de projeto para o desenvolvimento de sistemas fuzzy fundamentada em técnicas de computação evolucionária. Esta metodologia contempla as etapas de concepção do sistema fuzzy e a implementação em hardware do circuito eletrônico que o representa. A concepção do sistema é realizada num ambiente de projeto no qual sua base de conhecimento - composta da base de regras e demais parâmetros característicos - é evoluída, por intermédio de simulação, através do emprego de u

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21

Adamu, Adamu. "Evolutionary computation for high frequency trading systems." Thesis, University of Essex, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.537917.

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22

Kanade, Varun. "Computational Questions in Evolution." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10556.

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Darwin's theory (1859) proposes that evolution progresses by the survival of those individuals in the population that have greater fitness. Modern understanding of Darwinian evolution is that variation in phenotype, or functional behavior, is caused by variation in genotype, or the DNA sequence. However, a quantitative understanding of what functional behaviors may emerge through Darwinian mechanisms, within reasonable computational and information-theoretic resources, has not been established. Valiant (2006) proposed a computational model to address the question of the complexity of functions

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23

Smart, Royce Raymond, and roycesmart@hotmail com. "Evolutionary Control of Autonomous Underwater Vehicles." RMIT University. Aerospace, Mechanical and Manufacturing Engineering, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20090331.143104.

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The goal of Evolutionary Robotics (ER) is the development of automatic processes for the synthesis of robot control systems using evolutionary computation. The idea that it may be possible to synthesise robotic control systems using an automatic design process is appealing. However, ER is considerably more challenging and less automatic than its advocates would suggest. ER applies methods from the field of neuroevolution to evolve robot control systems. Neuroevolution is a machine learning algorithm that applies evolutionary computation to the design of Artificial Neural Networks (ANN). T

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24

Whitacre, James M. Chemical Sciences &amp Engineering Faculty of Engineering UNSW. "Adaptation and self-organization in evolutionary algorithms." Awarded by:University of New South Wales. Chemical Sciences & Engineering, 2007. http://handle.unsw.edu.au/1959.4/40444.

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The objective of Evolutionary Computation is to solve practical problems (e.g.optimization, data mining) by simulating the mechanisms of natural evolution. This thesis addresses several topics related to adaptation and self-organization in evolving systems with the overall aims of improving the performance of Evolutionary Algorithms (EA), understanding its relation to natural evolution, and incorporating new mechanisms for mimicking complex biological systems. Part I of this thesis presents a new mechanism for allowing an EA to adapt its behavior in response to changes in the environment. Usi

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25

Oliveira, Pedro paulo Balbi de. "An empirical exploration of computations with a cellular-automata-based artificial life." Thesis, University of Sussex, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240429.

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26

ONG, Bun Theang. "Studies on Automatic Termination Criteria for Evolutionary Computation." 京都大学 (Kyoto University), 2012. http://hdl.handle.net/2433/157482.

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27

Dahlberg, Leslie. "Evolutionary Computation in Continuous Optimization and Machine Learning." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35674.

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Анотація:

Evolutionary computation is a field which uses natural computational processes to optimize mathematical and industrial problems. Differential Evolution, Particle Swarm Optimization and Estimation of Distribution Algorithm are some of the newer emerging varieties which have attracted great interest among researchers. This work has compared these three algorithms on a set of mathematical and machine learning benchmarks and also synthesized a new algorithm from the three other ones and compared it to them. The results from the benchmark show which algorithm is best suited to handle various machin

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28

Schmidt, Christian [Verfasser]. "Evolutionary computation in stochastic environments / von Christian Schmidt." Karlsruhe : Univ.-Verl. Karlsruhe, 2007. http://d-nb.info/984871349/34.

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29

Xue, Feng, and 薛峰. "Evolutionary computation of geodesic paths in CAD/CAM." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31226978.

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30

Goh, Cindy S. F. "An evolutionary computation enabled automatic circuit synthesis tool." Thesis, University of Glasgow, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443434.

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31

Creaser, Paul. "Application of evolutionary computation techniques to missile guidance." Thesis, Cranfield University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367124.

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32

Jia, Guanbo. "Community detection in complex networks using evolutionary computation." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7483/.

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In real world many complex systems can be naturally represented as complex networks of which one distinctive feature is the community structure. The community detection, i.e., identifying the community structure, provides insight into the relationship and interaction between network function and topology and has become increasingly important in many scientific fields. In this thesis, we firstly propose a cooperative coevolutionary module identification algorithm named CoCoMi to address the scalability problem when detecting community structures in especially medium and large-scale complex netw

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33

Xue, Feng. "Evolutionary computation of geodesic paths in CAD/CAM /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23457429.

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34

Bernard, Arthur. "The mechanics of coordination and the evolution of cooperation : from computational modeling to evolutionary robotics design." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066696/document.

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La coopération est un comportement présent en abondance dans le vivant et central à la plupart des transitions majeures en évolution. Pourtant, son évolution est difficile à expliquer. En particulier, l'origine des comportements de coopération mutualiste, qui sont bénéfiques à tous les participants, à été peu étudiés. Dans cette thèse, nous nous intéressons au rôle de la coordination dans l'évolution de la coopération mutualiste à l'aide d'outils en robotique évolutionniste. Dans un premier temps, nous modélisons en robotique évolutionniste l'évolution de la coopération dans une tâche de chass

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35

Bernard, Arthur. "The mechanics of coordination and the evolution of cooperation : from computational modeling to evolutionary robotics design." Electronic Thesis or Diss., Paris 6, 2016. http://www.theses.fr/2016PA066696.

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Анотація:

La coopération est un comportement présent en abondance dans le vivant et central à la plupart des transitions majeures en évolution. Pourtant, son évolution est difficile à expliquer. En particulier, l'origine des comportements de coopération mutualiste, qui sont bénéfiques à tous les participants, à été peu étudiés. Dans cette thèse, nous nous intéressons au rôle de la coordination dans l'évolution de la coopération mutualiste à l'aide d'outils en robotique évolutionniste. Dans un premier temps, nous modélisons en robotique évolutionniste l'évolution de la coopération dans une tâche de chass

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36

Meuth, Ryan James. "Meta-learning computational intelligence architectures." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Meuth_09007dcc80722172.pdf.

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Анотація:

Thesis (Ph. D.)--Missouri University of Science and Technology, 2009.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed January 5, 2010) Includes bibliographical references (p. 152-159).

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37

Thompson, Adrian. "Hardware evolution : automatic design of electronic circuits in reconfigurable hardware by artificial evolution." Thesis, University of Sussex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360588.

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38

Wilkerson, Joshua Lee. "Co-evolutionary automated software correction: a proof of concept." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2008. http://scholarsmine.mst.edu/thesis/pdf/Wilkerson_09007dcc80642bb4.pdf.

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Анотація:

Thesis (M.S.)--Missouri University of Science and Technology, 2008.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed June 18, 2009) Includes bibliographical references (p. 62-64).

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39

Sealfon, Rachel (Rachel Sima). "Computational investigation of pathogen evolution." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99858.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 105-118).<br>Pathogen genomes, especially those of viruses, often change rapidly. Changes in pathogen genomes may have important functional implications, for example by altering adaptation to the host or conferring drug resistance. Accumulated genomic changes, many of which are functionally neutral, also serve as markers that can elucidate transmission dynamics or reveal how long a pathogen

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40

Bruce, Neil. "Evolutionary Design for Computational Visual Attention." Thesis, University of Waterloo, 2003. http://hdl.handle.net/10012/900.

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A new framework for simulating the visual attention system in primates is introduced. The proposed architecture is an abstraction of existing approaches influenced by the work of Koch and Ullman, and Tompa. Each stage of the attentional hierarchy is chosen with consideration for both psychophysics and mathematical optimality. A set of attentional operators are derived that act on basic image channels of intensity, hue and orientation to produce maps representing perceptual importance of each image pixel. The development of such operators is realized within the context of a genetic opti

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41

Momm, Henrique Garcia. "Evolutionary computation for information extraction from remotely sensed imagery /." Full text available from ProQuest UM Digital Dissertations, 2008. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1850452231&SrchMode=1&sid=2&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1279562359&clientId=22256.

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Анотація:

Thesis (Ph.D.)--University of Mississippi, 2008.<br>Typescript. Vita. "May 2008." Major professor: Greg Easson Includes bibliographical references (leaves145-154). Also available online via ProQuest to authorized users.

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42

Affenzeller, Michael. "Population genetics and evolutionary computation : theoretical and practical aspects /." Linz : Trauner, 2005. http://www.gbv.de/dms/ilmenau/toc/490631479affen.PDF.

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43

Hastings, Erin. "AUTOMATIC GRAPHICS AND GAME CONTENT GENERATION THROUGH EVOLUTIONARY COMPUTATION." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2643.

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Анотація:

Simulation and game content includes the levels, models, textures, items, and other objects encountered and possessed by players during the game. In most modern video games and simulation software, the set of content shipped with the product is static and unchanging, or at best, randomized within a narrow set of parameters. However, ideally, if game content could be constantly and automatically renewed, players would remain engaged longer in the evolving stream of content. This dissertation introduces three novel technologies that together realize this ambition. (1) The first, NEAT Particles,

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44

Sharifi, Soroosh. "Application of evolutionary computation to open channel flow modelling." Thesis, University of Birmingham, 2009. http://etheses.bham.ac.uk//id/eprint/478/.

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This thesis examines the application of two evolutionary computation techniques to two different aspects of open channel flow. The first part of the work is concerned with evaluating the ability of an evolutionary algorithm to provide insight and guidance into the correct magnitude and trend of the three parameters required in order to successfully apply a quasi 2D depth averaged Reynolds Averaged Navier Stokes (RANS) model to the flow in prismatic open channels. The RANS modeled adopted is the Shiono Knight Method (SKM) which requires three input parameters in order to provide closure, i.e. t

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45

Rastegari, Samaneh. "Intelligent network intrusion detection using an evolutionary computation approach." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1760.

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Анотація:

With the enormous growth of users' reliance on the Internet, the need for secure and reliable computer networks also increases. Availability of effective automatic tools for carrying out different types of network attacks raises the need for effective intrusion detection systems. Generally, a comprehensive defence mechanism consists of three phases, namely, preparation, detection and reaction. In the preparation phase, network administrators aim to find and fix security vulnerabilities (e.g., insecure protocol and vulnerable computer systems or firewalls), that can be exploited to launch attac

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46

Ranjard, Louis. "Computational biology of bird song evolution." e-Thesis University of Auckland, 2010. http://hdl.handle.net/2292/5719.

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Individuals of a given population share more behavioural traits with each other than with members of other populations. For example, in humans, traditions are specific to regions or countries. These cultural relationships can tell us about the history of the populations, their origin and the amount of exchange between them. In birds, regional dialects have been described in many species. However, the mechanisms with which dialects form in populations is not fully understood because it is difficult to analyse experimentally. Translocated populations, with their known histories, offer an opportu

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Subramanian, Ayshwarya. "Inferring tumor evolution using computational phylogenetics." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/275.

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Cancer research has made tremendous progress in understanding the basic biology of tumors. One of the key insights that has informed work in this area is the recognition that a tumor is an evolutionary system, in which individual cells undergo a process of rapid mutation and selection leading to a progression in phenotypes and, typically, aggressiveness of the tumor. Tumor phylogenetics is a strategy for interpreting the evolution of tumors using computer algorithms for phylogenetics, i.e., the inference of evolutionary trees. The approach takes advantage of a large body of phylogenetic theory

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Kamvysselis, Manolis 1977. "Computational comparative genomics : genes, regulation, evolution." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/7999.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 95-99).<br>Understanding the biological signals encoded in a genome is a key challenge of computational biology. These signals are encoded in the four-nucleotide alphabet of DNA and are responsible for all molecular processes in the cell. In particular, the genome contains the blueprint of all protein-coding genes and the regulatory motifs used to coordinate the expression of these genes. Comparative genome analysis of related species pr

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Bush, Brian O. "Development of a fuzzy system design strategy using evolutionary computation." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1178656308.

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Stanley, Kenneth Owen. "Efficient evolution of neural networks through complexification." Thesis, 2004. http://hdl.handle.net/2152/1266.

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