Torres L.M.,National Polytechnic School of Ecuador |
Wagler A.K.,CNRS Laboratory of Informatics, Modeling and Optimization of Systems
RAIRO - Operations Research | Year: 2013
To model the dynamics of discrete deterministic systems, we extend the Petri nets framework by a priority relation between conflicting transitions, which is encoded by orienting the edges of a transition conflict graph. The aim of this paper is to gain some insight into the structure of this conflict graph and to characterize a class of suitable orientations by an analysis in the context of hypergraph theory. © EDP Sciences, ROADEF, SMAI 2013.
Barra V.,University Blaise Pascal |
Barra V.,CNRS Laboratory of Informatics, Modeling and Optimization of Systems |
Biasotti S.,CNR Institute for Applied Mathematics and Information Technologies
Pattern Recognition | Year: 2013
3D shape retrieval is becoming an acute issue for numerous applications that span from CAD to serious games to biomedicine and all contexts where it is fundamental to automatically retrieve geometric information from a collection of 3D models. This paper addresses 3D shape retrieval in terms of a graph-based description and the definition of a corresponding similarity measure. For this purpose, 3D models are represented as bags of shortest paths defined over well chosen Extended Reeb Graphs, while the similarity between pairs of Extended Reeb Graphs is addressed through kernels adapted to these descriptions. Results are comparable with the best results of the literature, and the modularity and evolutivity of the method ensure its applicability to other problems, from partial shape matching to classification. © 2013 Elsevier Ltd.
Roustant O.,CNRS Laboratory of Informatics, Modeling and Optimization of Systems |
Ginsbourger D.,University of Bern
Journal of Statistical Software | Year: 2012
We present two recently released R packages, DiceKriging and DiceOptim, for the approximation and the optimization of expensive-to-evaluate deterministic functions. Following a self-contained mini tutorial on Kriging-based approximation and optimization, the functionalities of both packages are detailed and demonstrated in two distinct sections. In particular, the versatility of DiceKriging with respect to trend and noise specifications, covariance parameter estimation, as well as conditional and unconditional simulations are illustrated on the basis of several reproducible numerical experiments. We then put to the fore the implementation of sequential and parallel optimization strategies relying on the expected improvement criterion on the occasion of DiceOptim's presentation. An appendix is dedicated to complementary mathematical and computational details.
Aloulou M.A.,CNRS Laboratory for the Analysis and Modeling of Decision Systems |
Dolgui A.,CNRS Laboratory of Informatics, Modeling and Optimization of Systems |
Kovalyov M.Y.,National Academy of Sciences of Belarus
International Journal of Production Research | Year: 2014
Non-deterministic lot-sizing models are considered which serve for an explicit determination of lot sizes in an uncertain environment. Taxonomy components for such models are suggested and a bibliography structured according to these components is presented. The taxonomy components are numeric characteristics of a lot-sizing problem, names of uncertain parameters and names of approaches to model the uncertainty. The bibliography covers more than 300 publications since the year 2000. © 2013 Taylor & Francis.
Jaziri F.,Clermont University |
Jaziri F.,CNRS Laboratory of Informatics, Modeling and Optimization of Systems |
Jaziri F.,CNRS Microorganisms Laboratory: Genome and Environment
Database : the journal of biological databases and curation | Year: 2014
In recent years, high-throughput molecular tools have led to an exponential growth of available 16S rRNA gene sequences. Incorporating such data, molecular tools based on target-probe hybridization were developed to monitor microbial communities within complex environments. Unfortunately, only a few 16S rRNA gene-targeted probe collections were described. Here, we present PhylOPDb, an online resource for a comprehensive phylogenetic oligonucleotide probe database. PhylOPDb provides a convivial and easy-to-use web interface to browse both regular and explorative 16S rRNA-targeted probes. Such probes set or subset could be used to globally monitor known and unknown prokaryotic communities through various techniques including DNA microarrays, polymerase chain reaction (PCR), fluorescent in situ hybridization (FISH), targeted gene capture or in silico rapid sequence identification. PhylOPDb contains 74 003 25-mer probes targeting 2178 genera including Bacteria and Archaea. Database URL: http://g2im.u-clermont1.fr/phylopdb/