eCandy Evolutionary Camera Network Deploy

Tableau d’honneur de la Faculté des études supérieures et postdoctorales, 2010-2011Les systèmes de surveillance vidéo comme méthode de prévention et de protection connaissent une popularité grandissante. Cependant, des études tendent à démontrer que le placement des caméras est généralement inadéquat, se soldant en des systèmes à efficacité limitée. Ce mémoire propose une méthode permettant le placement automatique d'un nombre variable de caméras dans un environnement arbitraire en vue d'en optimiser le coût et la performance. Nous développons une formulation de la problématique pouvant servir à l'expression générale de plusieurs problèmes de placement de caméras. Les problèmes sont résolus grâce à un algorithme évolutionnaire, utilisant une représentation à taille variable, qui produit en sortie un ensemble de solutions exprimant les compromis possibles entre le coût et la performance. L'analyse qualitative des solutions est réalisée à l'aide de trois paradigmes de visualisation développée pour ce projet. Nous analysons trois problèmes concrets résolus par l'algorithme

Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms

Diversity is an important factor in evolutionary algorithms to prevent premature convergence towards a single local optimum. In order to maintain diversity throughout the process of evolution, various means exist in literature. We analyze approaches to diversity that (a) have an explicit and quantifiable influence on fitness at the individual level and (b) require no (or very little) additional domain knowledge such as domain-specific distance functions. We also introduce the concept of genealogical diversity in a broader study. We show that employing these approaches can help evolutionary algorithms for global optimization in many cases.Comment: GECCO '18: Genetic and Evolutionary Computation Conference, 2018, Kyoto, Japa

Sentiment analysis with genetically evolved Gaussian kernels

Sentiment analysis consists of evaluating opinions or statements based on text analysis. Among the methods used to estimate the degree to which a text expresses a certain sentiment are those based on Gaussian Processes. However, traditional Gaussian Processes methods use a prede- fined kernels with hyperparameters that can be tuned but whose structure can not be adapted. In this paper, we propose the application of Genetic Programming for the evolution of Gaussian Process kernels that are more precise for sentiment analysis. We use use a very flexible representation of kernels combined with a multi-objective approach that considers si- multaneously two quality metrics and the computational time required to evaluate those kernels. Our results show that the algorithm can outper- form Gaussian Processes with traditional kernels for some of the sentiment analysis tasks considered

guilbaults/TrailblazingTurtle: Release v1.2.0

What's Changed Added Configuration for Hostname label for Prometheus by @Evan-Vokey in https://github.com/guilbaults/TrailblazingTurtle/pull/22 Improve slurm_jobscripts:send_job error handling by @cmd-ntrf in https://github.com/guilbaults/TrailblazingTurtle/pull/24 Set a default margin for graphs, but can be overridden in Python. by @guilbaults in https://github.com/guilbaults/TrailblazingTurtle/pull/26 Add Optional Module for Quotas on GPFS Filesystem by @Evan-Vokey in https://github.com/guilbaults/TrailblazingTurtle/pull/25 Add Search for Staff by @Evan-Vokey in https://github.com/guilbaults/TrailblazingTurtle/pull/27 Add Support for Authentication Using Cloudflare Access by @Evan-Vokey in https://github.com/guilbaults/TrailblazingTurtle/pull/29 Remove global variables used in some templates by @guilbaults in https://github.com/guilbaults/TrailblazingTurtle/pull/28 Zoom out on graph with a fixed timedelta by @guilbaults in https://github.com/guilbaults/TrailblazingTurtle/pull/32 Anonymous demo mode by @guilbaults in https://github.com/guilbaults/TrailblazingTurtle/pull/33 New Contributors @Evan-Vokey made their first contribution in https://github.com/guilbaults/TrailblazingTurtle/pull/22 @cmd-ntrf made their first contribution in https://github.com/guilbaults/TrailblazingTurtle/pull/24 Full Changelog: https://github.com/guilbaults/TrailblazingTurtle/compare/v1.1.0...v1.2.

The Efficacy of MAG-DHA for Correcting AA/DHA Imbalance of Cystic Fibrosis Patients

Omega-3 polyunsaturated fatty acid (n-3 PUFA) supplementations are thought to improve essential fatty acid deficiency (EFAD) as well as reduce inflammation in Cystic Fibrosis (CF), but their effectiveness in clinical studies remains unknown. The aim of the study was to determine how the medical food containing docosahexaenoic acid monoglyceride (MAG-DHA) influenced erythrocyte fatty acid profiles and the expression levels of inflammatory circulating mediators. We conducted a randomized, double blind, pilot trial including fifteen outpatients with Cystic Fibrosis, ages 18–48. The patients were divided into 2 groups and received MAG-DHA or a placebo (sunflower oil) for 60 days. Patients took 8 × 625 mg MAG-DHA softgels or 8 × 625 mg placebo softgels every day at bedtime for 60 days. Lipid analyses revealed that MAG-DHA increased docosahexaenoic acid (DHA) levels and decrease arachidonic acid (AA) ratio (AA/DHA) in erythrocytes of CF patients following 1 month of daily supplementation. Data also revealed a reduction in plasma human leukocyte elastase (pHLE) complexes and interleukin-6 (IL-6) expression levels in blood samples of MAG-DHA supplemented CF patients. This pilot study indicates that MAG-DHA supplementation corrects erythrocyte AA/DHA imbalance and may exert anti-inflammatory properties through the reduction of pHLE complexes and IL6 in blood samples of CF patients. Trial registration: Pro-resolving Effect of MAG-DHA in Cystic Fibrosis (PREMDIC), NCT02518672

Contributors to this Issue

competition report calls & calendarEDITORIAL Editorial W elcome to the new issue of SIGEVOlution. More than a year has passed from the last editorial and I apologize for the huge delay. I hope you missed "us " since "we " missed you too! Like a phoenix, the mythological long-lived bird that is cyclically regenerated or reborn, here we are again with a new juicy menu. We start with an article by 2013 Humies gold medalist Cameron Browne about LUDI, his framework for evolutionary game design that created Yavalath, the world’s first fully computer-generated board game to be commercially released. Then, we have an article about the new Python framework for distributed evolution (DEAP) developed by Francois