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Titlebook: Artificial Evolution; European Conference, Jean-Marc Alliot,Evelyne Lutton,Dominique Snyers Conference proceedings 1996 Springer-Verlag Ber

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Towards a genetic theory of easy and hard functions,GA-hard problems efficiently, as shown effectively in the reported experiments. This method is however only well suited for these functions, and does not deal with partially deceptive functions. It is then shown how it could be combined with a GA.
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Evolution through cooperation: The Symbiotic Algorithm,periments, addressing the optimization of sinusoidal functions, show that the organic hierarchy adopts configurations in which appear substructures corresponding to optimal solutions. Moreover, the use of multimodal fitness functions induce phenotype distributions matching the fitness function peaks.
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Building new tools for synthetic image animation by using evolutionary techniques,d, an evolutionary algorithm designed to identify internal parameters of a mass-spring animation model from kinematic data (“Physics from Motion”) is presented through its application to cloth animation modelling.
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https://doi.org/10.1007/3-540-61108-8algorithms; evolution; evolutionary computation; genetic algorithm; image processing; neural network; opti
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Artificial Evolution978-3-540-49948-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Improving Profiles of Weakly-Engaged Usersst offspring individuals, and the principle of self-adaptation for the collective on-line learning of strategy parameters — are described by demonstrating their differences to .. By comparison of the algorithms, it is argued that the application of canonical genetic algorithms for continuous paramet
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Nicola Ferro,Gianmaria Silvellotionary programming, and indicates its relationship to other methods of evolutionary computation, specifically genetic algorithms and evolution strategies. The original efforts that evolved finite state machines for predicting arbitrary time series, as well as specific recent efforts in combinatoria
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Carla Teixeira Lopes,Cristina Ribeiromly perturbing simple processes. The asymptotic dynamics of the resulting processes is analyzed with the powerful tools developed by Freidlin and Wentzell and later by Azencott, Catoni and Trouvé in the framework of the generalized simulated annealing. First, a markovian model inspired by Holland‘s
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