Evolutionary adaptation of the r-function
Self adaptation in evolutionary algorithms
... R1 function [Forrest and Mitchell, 1992], and similar to Eshelman and Schaffer's “plateau” functions [Schaffer and Eshelman, ...plateau function that “The crossover gene takes over and the population ...
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ARE MITOCHONDRIA SUBJECT TO EVOLUTIONARY TEMPERATURE ADAPTATION?
... No previous studies have examined the maximum rates of oxygen uptake of isolated mitochondria from fish living at different thermal regimes. The aim of the present study was, therefore, to examine the maximum oxidative ...
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Evolutionary eigenvoice MLLR speaker adaptation
... 3. Evolutionary Eigenspace-Based MLLR Adaptation Paradigm The Genetic algorithm (GA) is a randomized search method based on natural ...fitness function of an optimization ...fitness function ...
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Individual, social and evolutionary adaptation in collective systems
... of evolutionary mechanism as im- plemented in the NEW TIES platform as well as an example of how social learning can be achieved through imitation among ...
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Evolutionary adaptation of the sensitivity of connexin26 hemichannels to CO2
... homeostatic function, the regulated excretion of CO 2 via breathing is of critical importance for ...to evolutionary adaptation across species with different homeostatic ...Nevertheless, ...
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An adaptation reference-point-based multiobjective evolutionary algorithm
... This paper proposes a reference-point-based adaptive method to study the PF of MOPs according to the can- didate solutions of the population. In addition, the proportion and angle function presented selects elites ...
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Tracing the evolutionary origins of insect renal function
... renal function in insects 1–3 ...physiological adaptation to a high surface area to volume ratio, which renders insects highly susceptible to osmotic stress 4 ...
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Evolutionary adaptation of contractile performance in muscle of ectothermic winter flying moths
... geometrid moth, Operophtera bruceata, in comparison with the warm-adapted endotherm Manduca sexta (Lepidoptera: Sphingidae; Heinrich, 1971). The results of this study are used to test the null hypothesis, that these ...
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Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation
... f 10 1500 8.17 3.94×10 -2 4.33×10 -2 4.45×10 -4 9.2 1.8×10 -2 f 11 2000 1.64 0.199 8.03×10 -3 7.97×10 -3 8.6×10 -2 1.6×10 -2 Fig. 5 shows the average convergence of the best solutions against generations for the low ...
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Stable enhancers are active in development, and fragile enhancers are associated with evolutionary adaptation
... The fragile enhancers with abundant deactivating muta- tion nucleotides are associated with the immune system and regular cellular maintenance, whereas the stable en- hancers with only a few deactivating mutation nucleo- ...
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A Closer Look at Adaptation Mechanisms in Simulated Environment-Driven Evolutionary Swarm Robotics
... environment-driven evolutionary algorithm that pro- vides promising results using an implicit fitness function combined with a random genome selection ...
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Pseudomonas aeruginosa Evolutionary Adaptation and Diversification in Cystic Fibrosis Chronic Lung Infections
... The tendency for P. aeruginosa to acquire loss-of-function mutations during adaptation to the CF lung could suggest that it is travelling towards an evolutionary ‘dead-end’. However, the existence of ...
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Human athletic paleobiology; using sport as a model to investigate human evolutionary adaptation
... Firstly, anthropological investigations employing techniques typi- cally found in kinesiology and sports science laboratories have shone new light on lower limb evolution. Studies using treadmills and respi- ratory gas ...
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Analysis of Hopfield Associative Memory with Combination of MC Adaptation Rule and an Evolutionary Algorithm
... fitness function is evaluating the best matrices of the weights population on the basics of the hundred percent successful recalling with zero bit error of the stored patterns on the presentation of the same as ...
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An Evolutionary Cognitive Radio Adaptation Engine Architecture Inspired from Cognitive Sciences
... utility function for a particular application or goal; the architecture design choice envisioned is set as generic as possible, to allow for the future engine development, scalability, and usage in multiple ...
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Optimization of Non-Uniform Circular Arrays with Covariance Matrix Adaptation Evolutionary Strategy
... 5. CONCLUSION In this paper, non-uniform circular antenna array designs by using the CMA-ES have been presented. The design objective is to achieve minimum sidelobe levels with the constraint of a specific first null ...
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Mutualism, Parasitism, and Evolutionary Adaptation
... 2 Department of Zoology – University of Oxford – Oxford – UK. [email protected] Abstract Our investigations concern the role of symbiosis as an enabling mechanism in evolutionary adaptation. Previous ...
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An evolutionary approach to Function
... a function of the primate hand, as it is a function of their ...artifactual function, I must also conclude that the individuals of the same class can be a role, depending on the nature of the ...
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Exploring adaptation with evolutionary activity plots
... implementing evolutionary activity statistics may stem from problems associated with uniquely identifying the elements to be ...the evolutionary activity of genotypes can prove problematic, since ...
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Evolutionary Function Approximation for Reinforcement Learning
... On-line evolutionary computation should also excel in non-stationary environments, though some refinement will be ...Steady-State Evolutionary Computation The NEAT algorithm used in this paper is an example ...
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