Vehicular ad hoc networks (VANETs) are wireless networks of automotive nodes. Among the
strategies used in VANETs to increase network connectivity are broadcast scheduling, data …

Deep reinforcement learning (DRL) and evolution strategies (ESs) have surpassed human-
level control in many sequential decision-making problems, yet many open challenges still …

Abstract Vehicular Ad hoc NETworks (VANETs) possess a dominant role in the development
of Intelligent Transport Systems (ITS). VANETs, due to the rapid mobility of vehicles are a …

Vehicular Ad hoc NETworks (VANETs) are a major component recently used in the
development of Intelligent Transportation Systems (ITSs). VANETs have a highly dynamic …

In general, the conventional routing approaches in mobile ad hoc networks (MANETs)
provide a route between the source and the target with a minimum hop count. Dynamic …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

The problem of routing in ad hoc networks, in particular proactive routing, has attracted the
attention of many researchers. Although the protocols proposed in the literature present …

Vehicular ad hoc networks (VANETs) are among the various magnificent innovations for a
clever transportation framework that diminishes vehicle–vehicle to raise multi-jump specially …

Road crashes and their damages represent a serious issue and are one of the main causes
of people death. In this context, Vehicular Ad hoc NETworks (VANETs) are deployed to …

The aim os this paper is to study the hybridization of two multi-objective algorithms in the
context of a real problem, the MANETs problem. The algorithms studied are Particle Swarm …