Dissertations / Theses on the topic 'Memetic Evolution'
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Pediani, Ramon Carlo. "Memetic evolution and the developing role of the specialist nurse within the acute pain service." Thesis, Lancaster University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414895.
Full textTARDITI, SPAGNOLI GIORGIO. "Nurture becomes nature: the evolving place of psychology in the theory of evolution." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/80377.
Full textAytaç, Aysun Özcan A. Can. "Memes And Memetics In Industrial Product Design/." [s.l.]: [s.n.], 2005. http://library.iyte.edu.tr/tezler/master/endustriurunleritasarimi/T000371.pdf.
Full textKaya, Utku. "An Extended Functionalist Approach To Memetics." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12611482/index.pdf.
Full textBuriol, Luciana Salete. "Algoritmo memetico para o problema do caixeiro viajante assimetrico como parte de um framework para algoritmos evolutivos." [s.n.], 2000. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261832.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: Dentre a gama de técnicas heurísticas e exatas existentes para a resolução de problemas combinatórios, os algoritmos populacionais genéticos e meméticos têm se destacado devido a sua boa performance. Em especial, os algoritmos meméticos podem ser considerados atualmente como uma das técnicas melhores sucedidas para a resolução de vários problemas combinatórios, dentre eles, o problema do caixeiro viajante. Nesta dissertação será apresentado um algoritmo memético aplicado ao problema do caixeiro viajante assimétrico, com a proposta de uma nova busca local: Recursive Arc Insertion. Os resultados computacionais considerando as 27 instâncias assimétricas da TSPLIB são apresentados, analisados e comparados com resultados obtidos por outros métodos propostos para o problema. O mesmo algoritmo é também aplicado a 32 outras instâncias assimétricas e a 30 instâncias reduzidas do problema de ciclos hamiltonianos não direcionados. Um framework para algoritmos evolutivos é apresentado, já incluindo o algoritmo memético implementado e a redução de instâncias do problema de ciclos hamiltonianos não direcionados para o problema do caixeiro viajante simétrico. Além disso, dois geradores portáveis de instâncias com solução ótima conhecida são descritos: um para o problema do caixeiro viajante assimétrico e outro para o problema de ciclos hamiltonianos
Abstract: Among the range of heuristic and exact techniques for solving combinatorial problems, the genetic and memetic populational algorithms play an important role due to their good performance. In special, the memetic algorithms can be considered current1y as one of the best techniques to solve several combinatorial problems, especially, the traveling salesman problem. In this dissertation a memetic algorithm applied to the asymmetric traveling salesman problem is developed, and a new local search is proposed: Recursive Are Insertion. The computational results considering the 27 asymmetric instances from TSPLIB are presented, analyzed and compared with results attained by other methods recent1y published. The same algorithm is also applied to 32 other asymmetric instances and to 30 reduced instances from undirect hamiltonian cycle problem. A framework for evolutionary algorithms is also presented, including the memetic algorithm implemented and the codes which performs a reduction from the undirect hamiltonian cycle problem to the symmetric traveling salesman problem. Besides, two portable instances generators with a known optimal solution are described: one for asymmetric traveling salesman problem and other for hamiltonian cycle problem
Mestrado
Automação
Mestre em Engenharia Elétrica
Sparkes-Vian, Cassian. "The evolution of propaganda : investigating online electioneering in the UK General Election of 2010." Thesis, De Montfort University, 2014. http://hdl.handle.net/2086/10752.
Full textCaleiro, Diego. "Simulando Dennett: ferramentas e construções de um naturalista." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/8/8133/tde-17102014-145500/.
Full textThis dissertation intends to provide the reader with an inner simulation of Daniel Dennetts form of reasoning, spreading over his whole philosophy, emphasizing his treatment of patterns, the evolutionary algorithm, consciousness, and his use of illata, abstracta, semantic, and synthax, to carve nature at its joints, especially biology and the human mind. It recasts, in a new light, great part of his most important ideas, and reverse engineers what made him think in particular ways, walking the reader through similar pathways, fostering an active learning of a thinking style, above and beyond a mere exposition of the results obtained by this thinking style over the years
Soares, Antonio Jose Espadinha Vieira. "Cultural evolution : making the case for the study of culture from an evolutionary perspective within the theoretical framework of neo-Darwinism and Meme Theory." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1874120.
Full textChen, Kun-Cheng, and 陳坤城. "Motion Planning Using Memetic Evolution Algorithm for Swarm Robots." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/39348032927315419189.
Full text國立雲林科技大學
資訊工程研究所
99
In this paper, a hierarchical memetic algorithm (MA) is proposed for the path planning of swarm robots. The proposed algorithm consists of a global path planner (GPP) and a local motion planner (LMP). The GPP plans a trajectory within the voronoi diagram (VD) of the free space. A memetic algorithm with a non-random initial population plans a series of configurations along the path given by the former stage. The MA locally adjusts the robot positions to search for better fitness along the gradient direction of the distance between swarm robots and IGs. Once the optimal configuration is obtained, the better chromosomes will be reserved as the initial population for the next generation. Since the proposed MA is with non-random initial population and potential based local searching, it is more efficient and the planned path is faster than the traditional GA. Simulation result show that the proposed algorithm works well, specifically in terms of path smoothness and computation efficiency.
Liu, Chia-Huan, and 劉家桓. "An Hierarchical Path Planner Using Memetic Evolution Algorithm For Manipulators." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/63642964856223127104.
Full text樹德科技大學
資訊工程學系
95
In this thesis, an heirarchical algorithm is proposed for path planning of manipulators. The proposed algorithm consists of a global planner and a local planner. The cell-decomposition approach is adopted as the former to plan a trajectory for robot end-effector. The Memetic algorithm with local search is adopted to plan the local motion of the manipulator. The local search procedure reduces the search space and speedups the evolution significantly. In this thesis, the local research is implemented by a potential minimization algorithm. The algorithm locally adjusts the robot configuration to search for minimum potential configurations using the repulsive force between manipulator and obstacles. Simulation results show that the proposed algorithm works well, in terms of collision avoidance and computation efficiency.
Ke, Cheng Hao, and 柯政豪. "The Ecology of Big Data: A Memetic Approach on the Evolution of Online Text." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/z5bard.
Full text國立政治大學
公共行政學系
104
The mismatch between theory and method is a crisis which the discipline of public administration cannot afford to ignore. The arrival of the “Era of Big Data”, only serves to make matters worse. As data becomes uncoupled with the individual, so goes any pretense of trying to provide analyses beyond that of mere description. If public administration refuses to import new ontology and epistemology, then very little could be gained from online text research. The Darwinian theory of evolution, ever since the Modern Synthesis, has embraced the replicator centered point of view when explaining all living phenomena. This has unshackled the theory from limitations of the traditional individual centered view of evolution. Memetics is a recent offshoot of the theory of evolution. It views social cultural change as a process based on the evolution of a cultural unit of selection, the meme. Due to memetics’ ability to explain social cultural evolution from the meme’s point of view, it is a natural candidate to examine the dynamics of “big” online text data. The first part of this research is on the construction of an online text analysis framework, with testable hypotheses, through the integration of past literature on evolution, social cultural evolution, memetics and ecology. The second part is concerned with the testing of the framework with empirical data. The text corpus used in this research contains 1,761 news reports from the Yahoo! News website on the issue of high school curriculum change. Chinese term segmentation and text clustering algorithms were applied to the corpus, in order to extract text quasi-species composed of similar memes. Statistical tests were then used to determine the influence of text characteristics and temporal distribution dynamics on the population of quasi-species. Findings indicate that the population dynamics of text quasi-species were influenced by density dependence. Text characteristics, such as word length and sentiment, also exert significant influence on the number of comments that each text receives. However, these influences are not equal under different density conditions. The location of the news articles within the website also creates a difference in the number of comments received. Finally, interactions between the temporal distribution of different quasi-species and between quasi-species and term groups also yielded significant positive and negative correlations. The results are proof that memetics is an ideal theoretical platform to connect theory with text mining/analysis methods. It allows for a theory based approach and the creation of testable hypotheses. Frameworks and methods based on evolution and ecological research are also applicable under memetics. The empirical findings point to the importance of monitoring the temporal distribution of online text, and the significance of text characteristics and website environments to text population changes. The results also illustrate the importance of term groups in the influence of text population dynamics. Together these variables and effects are all central to the understanding of the change in online text and comment numbers, and the effect of past text population on current population changes. Online texts from different websites should also be analyzed separately. This research recommends that future public administration big data analyses should continue to adopt the memetic approach. Nevertheless, attention should be given to the strengths and weaknesses of different text mining algorithms and density dependence tests. Big data time series from different websites and with longer temporal spans should also be considered, while social cultural artifacts other than texts should not be excluded from memetics based researches. New frameworks must also be constructed to integrate and understand, the interaction between important variables, such as, text characteristics and environmental influences. Findings on all forms of online data would also be enhanced through comparisons with results from questionnaires designed with memetics in mind.
Koutský, Karel. ""Zapomenuté myšlenky středověku a Životní cyklus myšlenky ve středověku"." Doctoral thesis, 2013. http://www.nusl.cz/ntk/nusl-330367.
Full textVarela, Julio A. Gontarski S. E. "Vortex to virus, myth to meme the literary evolution of nihilism and chaos in modernism and postmodernisn /." 2004. http://etd.lib.fsu.edu/theses/available/etd-03032004-150920.
Full textAdvisor: Dr. S.E. Gontarski, Florida State University, College of Arts and Sciences, Program in the Humanities. Title and description from dissertation home page (viewed June 16, 2004). Includes bibliographical references.
"Algoritmo memetico para o problema do caixeiro viajante assimetrico como parte de um framework para algoritmos evolutivos." Tese, Biblioteca Digital da Unicamp, 2000. http://libdigi.unicamp.br/document/?code=vtls000197787.
Full textCôté, Charbonneau Mathieu. "L’analogie de l’hérédité culturelle : fondements conceptuels de la théorie de la double hérédité." Thèse, 2013. http://hdl.handle.net/1866/9703.
Full textAccording to the dual-inheritance theory, processes of social transmission of ideas should allow human cultures to evolve in a Darwinian fashion. This conclusion is obtained by an explanatory inference according to which a profound analogy can be established between the cognitive processes of social learning and those of genetic transmission mechanisms. Not only should we understand social learning as a genuine cultural inheritance system, distinct although complementary to the genetic inheritance system, but, on the basis of the very same analogy, it would also be legitimate to transfer and adapt the theoretical concepts, explanatory formats and formal tools of evolutionary biology to the study of cultural dynamics so as to constitute a Darwinian theory of cultural evolution. The cultural inheritance analogy has been controversial since it was first suggested. A lack of consensus amongst scientists and philosophers about the proper meaning and epistemic reach of such an analogy has impeded the acceptance that human cultures might evolve. Nonetheless, through the forty years of controversy, the structure of the cultural inheritance analogy has never been systematically scrutinized and its relevance as an epistemic foundation for theory construction seldom examined. The main objective of this dissertation is to offer a first systematic analysis of the nature, structure, function and epistemic reach of the cultural inheritance analogy as the conceptual foundation of the dual-inheritance theory. By insisting on its logical structure, it is argued here that it is a complex analogy, the complexity of which is often misunderstood by the criticisms levelled against the dual-inheritance theory. It is argued here that the cultural inheritance analogy is in fact composed of two constitutive analogies that conjointly justify and organize a Darwinian research program of cultural evolution.