Authors: Jamal Toutouh, Enrique Alba
Abstract: This article analyzes the use of two parallel multi-objective soft computing
algorithms to automatically search for high-quality settings of the Ad hoc On
Demand Vector routing protocol for vehicular networks. These methods are based
on an evolutionary algorithm and on a swarm intelligence approach. The
experimental analysis demonstrates that the configurations computed by our
optimization algorithms outperform other state-of-the-art optimized ones. In
turn, the computational efficiency achieved by all the parallel versions is
greater than 87 %. Therefore, the line of work presented in this article
represents an efficient framework to improve vehicular communications.
Source: http://arxiv.org/abs/2501.09725v1
