Results 291 to 300 of about 578,574 (323)
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Evolution of mutational robustness
Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, 2003We review recent advances in the understanding of the mutation-selection balance of asexual replicators. For over 30 years, population geneticists thought that an expression derived by Kimura and Maruyama in 1966 fully solved this problem. However, Kimura and Maruyama's result is only correct in the absence of neutral mutations.
Claus O Wilke, Christoph Adami
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Applied Intelligence, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kazuhiro Ohkura +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kazuhiro Ohkura +2 more
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RECURRENCE NETWORKS: EVOLUTION AND ROBUSTNESS
International Journal of Bifurcation and Chaos, 2011We analyze networks generated by the recurrence plots of the time series of chaotic systems and study their properties, evolution and robustness against several types of attacks. Evolving recurrence networks obtained from chaotic systems display interesting features from the point of view of robustness (in particular, those related to their ...
Fernanda Strozzi +4 more
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Ontology Robustness in Evolution
2008This paper introduces the notion of Ontology Robustness in Evolution and discusses a solution based on the distinction among a stable component and a contingent component of the ontology. The stable component represents the annotation used to store data into the ontology, while the contingent component contains assertions generated by constraining the ...
P. Ceravolo, E. Damiani, M. Leida
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Robustness during Network Evolution
2009 International Conference on Complex, Intelligent and Software Intensive Systems, 2009Robust networks can maintain their characteristics under perturbation, which is rooted in the different topology structure.However, previous study of the relationship between network robustness and topology structure is based on a static context. We study the effects of network topology on the network robustness from an dynamic points of view.
Chunquan He, Qingsheng Ren
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Neutral Evolution of Robustness in Drosophila microRNA Precursors [PDF]
Molecular Biology and Evolution, 2011 Mutational robustness describes the extent to which a phenotype remains unchanged in the face of mutations. Theory predicts that the strength of direct selection for mutational robustness is at most the magnitude of the rate of deleterious mutation. As far as nucleic acid sequences are concerned, only long sequences in organisms with high deleterious ...
Reed A Cartwright +2 more
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Redundant genes and the evolution of robustness
Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006In this paper we demonstrate that pressure for robustness combined with function sets containing redundant genes can cause an evolutionary system to avoid a more fit solution in favor of a more robust solution. It is also shown that this trend depends significantly on the mutation rate used.
Russell Thomason, Terence Soule
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Robustness and predictability of evolution in bottlenecked populations
Physical Review E, 2021Deterministic and stochastic evolutionary processes drive adaptation in natural populations. The strength of each component process is determined by the population size: deterministic components prevail in very large populations, while stochastic components are the driving mechanisms in small ones.
Osmar Freitas +2 more
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Evolution Strategies for Robust Optimization
2006 IEEE International Conference on Evolutionary Computation, 2006In this paper, we propose two evolutionary strategies for the optimization of problems with actuator noise as encountered in robust optimization, where the design or objective parameters are subject to noise: the ROSAES and the ROCSAES. Both algorithms use a control rule for increasing the population size when the residual error to the optimizer state ...
Hans-Georg Beyer, Bernhard Sendhoff
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Evolution of Robustness in an Electronics Design
2000Evolutionary algorithms can design electronic circuits that conventional design methods cannot, because they can craft an emergent behaviour without the need for a detailed model of how the behaviours of the components affect the overall behaviour. However, the absence of such a model makes the achievement of robustness to variations in temperature ...
Adrian Thompson, Paul J. Layzell 0002
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