Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Gregoire Danoy"'
Publikováno v:
IEEE Access, Vol 9, Pp 115466-115487 (2021)
The recent years have seen a rise in the incorporation and integration of new smart connected devices and platforms such as Unmanned Aerial Vehicles (UAVs) to the ubiquitous network of Internet of Things (IoT). UAVs not only offer new means of delive
Externí odkaz:
https://doaj.org/article/d5bd7a8ec912446383fe104049f71cab
This book constitutes the refereed proceedings of the 6th International Conference on Optimization and Learning, OLA 2023, held in Malaga, Spain, during May 3–5, 2023. The 32 full papers included in this book were carefully reviewed and selected
This volume constitutes selected papers presented during the 8th International Conference on Metaheuristics and Nature Inspired Computing, META 2021, held in Marrakech, Morocco, in October 201. Due to the COVID-19 pandemic the conference was partiqa
Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor network
Autor:
Daniel H. Stolfi, Grégoire Danoy
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 5989 (2023)
Optimising a swarm of many robots can be computationally demanding, especially when accurate simulations are required to evaluate the proposed robot configurations. Consequentially, the size of the instances and swarms must be limited, reducing the n
Externí odkaz:
https://doaj.org/article/e8216bce8a2140eb83b440c544c13506
Autor:
Antonio Maria Fiscarelli, Matthias R. Brust, Roland Bouffanais, Apivadee Piyatumrong, Grégoire Danoy, Pascal Bouvry
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Networks of collaboration are notoriously complex and the mechanisms underlying their evolution, although of high interest, are still not fully understood. In particular, collaboration networks can be used to model the interactions between s
Externí odkaz:
https://doaj.org/article/fda92de50c174178a2fac721e0e52c99
Publikováno v:
Journal of Information and Telecommunication, Vol 4, Iss 1, Pp 36-50 (2020)
Communities in networks are considered to be groups of vertices with higher probability of being connected to each other than to members of other groups. Community detection, then, is a method to identify these communities based on the higher intra-c
Externí odkaz:
https://doaj.org/article/c582803191e740dab307d38ea4bd5273
Autor:
Saharnaz Dilmaghani, Matthias R Brust, Carlos H C Ribeiro, Emmanuel Kieffer, Grégoire Danoy, Pascal Bouvry
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0260484 (2022)
Identifying protein complexes in protein-protein interaction (ppi) networks is often handled as a community detection problem, with algorithms generally relying exclusively on the network topology for discovering a solution. The advancement of experi
Externí odkaz:
https://doaj.org/article/52dc66ca8d6a49d29a3529c0ec27ce89
Autor:
Daniel H. Stolfi, Grégoire Danoy
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10218 (2022)
In this article, we present a distributed robot 3D formation system optimally parameterised by a hybrid evolutionary algorithm (EA) in order to improve its efficiency and robustness. To achieve that, we first describe the novel distributed formation
Externí odkaz:
https://doaj.org/article/43ffdfe193954ce08127026c57619c03
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9587 (2022)
The use of Unmanned Aerial Vehicles (UAVs) has shown a drastic increase in interest in the past few years. Current applications mainly depend on single UAV operations, which face critical limitations such as mission range or resilience. Using several
Externí odkaz:
https://doaj.org/article/52e6b1cf42524a95ab5b9284f21e0d0b