Alternative Restart Strategies for CMA-ES

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Owing to stochastic fluctuations arising from finite population size, known as genetic drift, the ability of a population to explore a rugged fitness landscape depends on its size. In the weak mutation regime, while the mean steady-state fitness increases ...

We introduce a reconfigurable medium for the manipulation of elastic propagation properties of Lamb waves. It is based on a shape memory polymer (SMP) with temperature-dependent Young's modulus. Waves are excited by a laser pulse and detected by a laser vi ...

The control of robotic prosthetic hands (RPHs) for upper limb amputees is far from optimal. Simultaneous and proportional finger control of a RPH based on EMG signals is still challenging. Based on EMG and kinematics recordings of subjects following a pre- ...

Does the scaling relationship between population sizes of cities with urban metrics like economic output and infrastructure (transversal scaling) mirror the evolution of individual cities in time (longitudinal scaling)? The answer to this question has impo ...

We investigate the evolutionary rescue of a microbial population in a gradually deteriorating environment, through a combination of analytical calculations and stochastic simulations. We consider a population destined for extinction in the absence of mutan ...

The fixation probability of a single mutant invading a population of residents is among the most widely-studied quantities in evolutionary dynamics. Amplifiers of natural selection are population structures that increase the fixation probability of advanta ...

Evolution can be described as the change of allele frequencies over time. Four forces - mutation, migration, genetic drift, and selection, drive this change. The aim of my thesis was to accurately estimate and differentiate the parameters governing each of ...

During the last years, the new science of cities has been established as a fertile quantitative approach to systematically understand the urban phenomena. One of its main pillars is the proposition that urban systems display universal scaling behavior rega ...

In a simulation study of genotypes conducted over 100 generations for more than 1600 butterfly’s individuals, we evaluate how the increase of anthropogenic fragmentation and reduction of habitat size along urbanisation gradients (from 7% to 59% of impervio ...

Recently, there has been increased awareness of the role of background selection (BGS) in both data analysis and modelling advances. However, BGS is still difficult to take into account because of tractability issues with simulations and difficulty with no ...

The joint and accurate inference of selection and demography from genetic data is considered a particularly challenging question in population genetics, since both process may lead to very similar patterns of genetic diversity. However, additional informat ...

Genetic estimates of effective population size (Ne) are an established means to develop informed conservation policies. Another key goal to pursue the conservation of endangered species is keeping the connectivity across fragmented environments, to which g ...

Biomimicry is a strategy that makes practical use of evolution to find efficient and sustainable ways to produce chemical compounds or engineer products. Exploring the natural machinery of enzymes for the production of desired compounds is a highly profita ...

Levels of nucleotide diversity vary greatly across the genomes of most species owing to multiple factors. These include variation in the underlying mutation rates, as well as the effects of both direct and linked selection. Fundamental to interpreting the ...

Imaging modalities such as Electron Microscopy (EM) and Light Microscopy (LM) can now deliver high-quality, high-resolution image stacks of neural structures. Though these imaging modalities can be used to analyze a variety of components that are critical ...

With novel developments in sequencing technologies, time-sampled data are becoming more available and accessible. Naturally, there have been efforts in parallel to infer population genetic parameters from these data sets. Here, we compare and analyse four ...

Evolutionary algorithms are widespread heuristic methods inspired by natural evolution to solve difficult problems for which analytical approaches are not suitable. In many domains experimenters are not only interested in discovering optimal solutions, but ...

We study an abstract model for the coevolution between mutating viruses and the adaptive immune system. In sequence space, these two populations are localized around transiently dominant strains. Delocalization or error thresholds exhibit a novel interdepe ...

In our daily lives, our mobile phones sense our movements and interactions via a rich set of embedded sensors such as a GPS, Bluetooth, accelerometers, and microphones. This enables us to use mobile phones as agents for collecting spatio-temporal data. The ...

Population-based learning techniques have been proven to be effective in dealing with noise and are thus promising tools for the optimization of robotic controllers, which have inherently noisy performance evaluations. This article discusses how the result ...

Alternative Restart Strategies for CMA-ES

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Impact of population size on early adaptation in rugged fitness landscapes

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

Deep Learning with Convolutional Neural Network for Proportional Control of Finger Movements from surface EMG Recordings

On the relation between transversal and longitudinal scaling in cities

Adapt or Perish: Evolutionary Rescue in a Gradually Deteriorating Environment

Limits on amplifiers of natural selection under death-Birth updating

Computational and Statistical analyses of Molecular Evolution and Demography using Large-scale Sequencing Data

Evolution of urban scaling: Evidence from Brazil

Persistence of butterfly populations in fragmented habitats along urban density gradients: motility helps

The consequences of not accounting for background selection in demographic inference

An Approximate Markov Model for the Wright-Fisher Diffusion and Its Application to Time Series Data

Coalescent inferences in conservation genetics: should the exception become the rule?

Genetic-Algorithm-Based Optimization of a Peptidic Scaffold for Sequestration and Hydration of CO

The Impact of Linked Selection in Chimpanzees: A Comparative Study

Towards Scalable Segmentation of 3D Image Stacks

WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data

Artificial Evolution by Viability Rather Than Competition

Periodic versus Intermittent Adaptive Cycles in Quasispecies Coevolution

Population Sensing Using Mobile Devices : a Statistical Opportunity or a Privacy Nightmare?

Analysis of Fitness Noise in Particle Swarm Optimization: From Robotic Learning to Benchmark Functions