73 citations · 216 across the 8 of their papers we have counts for
8 papers
Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation
J. Toutouh, S. Nesmachnow, E. Alba
This work addresses the reduction of power consumption of the AODV routing protocol in vehicular networks as an optimization problem. Nowadays, network designers focus on energy-aw…
Infrastructure Deployment in Vehicular Communication Networks Using a Parallel Multiobjective Evolutionary Algorithm
Renzo Massobrio, Jamal Toutouh, Sergio Nesmachniw +1
This article describes the application of a multiobjective evolutionary algorithm for locating roadside infrastructure for vehicular communication networks over realistic urban are…
Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary algorithm
Jamal Toutouh, Sergio Nesmachnow, Enrique Alba
This work tackles the problem of reducing the power consumption of the OLSR routing protocol in vehicular networks. Nowadays, energy-aware and green communication protocols are imp…
Exact and heuristic approaches for multi-objective garbage accumulation points location in real scenarios
Diego Gabriel Rossit, Jamal Toutouh, Sergio Nesmachnow
Municipal solid waste management is a major challenge for nowadays urban societies, because it accounts for a large proportion of public budget and, when mishandled, it can lead to…
Using Cosmic Rays detected by HST as Geophysical Markers I: Detection and Characterization of Cosmic Rays
Nathan Miles, Susana E. Deustua, Gonzalo Tancredi +3
The Hubble Space Telescope (HST) has been operational for over 30 years and throughout that time it has been bombarded by high energy charged particles colloquially referred to as…
Parallel/distributed implementation of cellular training for generative adversarial neural networks
Emiliano Perez, Sergio Nesmachnow, Jamal Toutouh +2
Generative adversarial networks (GANs) are widely used to learn generative models. GANs consist of two networks, a generator and a discriminator, that apply adversarial learning to…