# Gilles Caporossi

Back## Cahiers du GERAD

### 85 results — page 1 of 5

GenoGraphiX-Log version 2.0 user guide

GenoGraphiX-Log 2.0 (abbreviation GGXLog) is a keystroke logging software that was developed as a collaboration between <a href="" title="https://www.h...

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Aggregator is an open-source python package which aims to facilitate the exploitation of relational datasets by automating feature aggregation.

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This work proposes strategies to handle three types of constraints in the context of blackbox optimization: binary constraints that simply indicate if they a...

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In an optimization problem, multiplying an inequality constraint by a positive scalar has no effect on the domain. However, such a transformation might have...

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For the last decades, community detection is a well-studied problem because it has applications in various fields. Variable Neighborhood Search (VNS) is an e...

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Distance measures play an important role in data analysis, mainly for clustering purpose, but also for data representation (for instance using multidimension...

BibTeX referenceVertex and edge residual mean distances: New resilience measures for telecommunication networks

Any telecommunication network is subject to a node or link failure at any given time. Such a failure may impact the quality of the services provided by the n...

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Necessary and sufficient conditions are provided for the existence of a simple
graph, or a simple connected graph with given
numbers `\(m_{ij}\)`

of edges ...

In this paper, we establish the maximum number of basic shortest paths in Cartesian product graphs and bounds on the maximum number of the vertex-disjoint sh...

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Graph theoretical heuristics are used extensively in many fields to solve approximately large scale optimization problems. Graph theoretical heuristics can a...

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Considering a graph as a network of resistances, Klein and Randić (1993) proposed the definition of a distance measure. Indeed, if each edge of the graph re...

BibTeX referenceOptimizing C-RAN backhaul topologies: A resilience-oriented approach using graph invariants

Trends in wireless networks are proceeding toward increasingly dense deployments, supporting resilient interconnection for applications that carry ever highe...

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In this paper, we propose a new scheme for building algorithms to detect communities in networks. This new approach is based upon a vertex centrality measur...

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Extreme Learning Machine (ELM) has recently increased popularity and has been successfully applied to a wide range of applications. Variants using regulariza...

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This paper presents the results of two explorations: one, exhaustive, of the graph sets from 4 to 10 vertices, and other, using AGX-III program on graphs fro...

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An edge-coloring of a graph `\(G=(V,E)\)`

is a function `\(c\)`

that assigns an integer `\(c(e)\)`

(called color) in `\(\{0,1,2,\dotsc\}\)`

to every edge `(...

In the literature, graphs are often studied in terms of invariants, for instance the number of vertices or edges, the stability number, the chromatic number ...

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Writing is a complex process and it is difficult to know how to write well in order to make a good text. Many fields and techniques are combined to analyze h...

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In this paper, we propose an empirical study of the centrality of actors in network. The data was collected among publicly available information of the boa...

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In this paper, the first steps toward the use of the Variable Neighborhood Search metaheuristic are explained. The method is presented step by step using an...

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