Results 11 to 20 of about 1,736,262 (298)
Hyper-selection in dynamic environments [PDF]
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008 This article is posted here with permission from IEEE - Copyright @ 2008 IEEEIn recent years, several approaches have been developed for genetic algorithms to enhance their performance in dynamic environments.
Tinos, R, Yang, S
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Disentanglement Dynamics in Nonequilibrium Environments
Entropy, 2022 We theoretically study the non-Markovian disentanglement dynamics of a two-qubit system coupled to nonequilibrium environments with nonstationary and non-Markovian random telegraph noise statistical properties. The reduced density matrix of the two-qubit system can be expressed as the Kraus representation in terms of the tensor products of the single ...
Mingli Chen +3 more
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On the performance of a hybrid genetic algorithm in dynamic environments [PDF]
, 2013 The ability to track the optimum of dynamic environments is important in many practical applications. In this paper, the capability of a hybrid genetic algorithm (HGA) to track the optimum in some dynamic environments is investigated for different ...
Yang, Zhixin, Yuan, Quan
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Explicit memory schemes for evolutionary algorithms in dynamic environments [PDF]
, 2007 Copyright @ 2007 Springer-VerlagProblem optimization in dynamic environments has atrracted a growing interest from the evolutionary computation community in reccent years due to its importance in real world optimization problems.
D Dasgupta +13 more
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EDEN: evolutionary dynamics within environments [PDF]
Bioinformatics, 2017 AbstractSummaryMetagenomics revolutionized the field of microbial ecology, giving access to Gb-sized datasets of microbial communities under natural conditions. This enables fine-grained analyses of the functions of community members, studies of their association with phenotypes and environments, as well as of their microevolution and adaptation to ...
Münch, Philipp C +2 more
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Experimental analysis of a statistical multiploid genetic algorithm for dynamic environments
Engineering Science and Technology, an International Journal, 2022 Dynamic environments are still a big challenge for optimization algorithms. In this paper, a Genetic Algorithm using both Multiploid representation and the Bayesian Decision method is proposed.
Emrullah Gazioğlu, A.Sima Etaner-Uyar
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Eye-Tracking in Interactive Virtual Environments: Implementation and Evaluation
Applied Sciences, 2022 Not all eye-tracking methodology and data processing are equal. While the use of eye-tracking is intricate because of its grounding in visual physiology, traditional 2D eye-tracking methods are supported by software, tools, and reference studies. This is
Pavel Ugwitz +4 more
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A comparative study of immune system based genetic algorithms in dynamic environments [PDF]
, 2006 Copyright @ 2006 ACMDiversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the ever-changing environment in nature.
Yang, S
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Mutator dynamics in fluctuating environments [PDF]
Proceedings of the Royal Society of London. Series B: Biological Sciences, 2002 Populations with high mutation rates (mutator clones) are being found in increasing numbers of species, and a clear link is being established between the presence of mutator clones and drug resistance. Mutator clones exist despite the fact that in a constant environment most mutations are deleterious, with the spontaneous mutation rate generally held ...
J M J, Travis, E R, Travis
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Reaction Dynamics within a Cluster Environment
Physical Chemistry Chemical Physics, 2022 This perspective article reviews experimental and theoretical works where rare gas clusters and helium nanodroplet are used as nanoreactor to investigate chemical dynamics in a solvent environment. A historical perspective is presented first, then specific considerations on the mobility of reactants within these reaction media.
Marc Briant +3 more
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