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arXiv · 2501.09725

Parallel multi-objective metaheuristics for smart communications in vehicular networks

Jamal Toutouh·Enrique Alba
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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.

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Jamal Toutouh, Enrique Alba. 2025-01-16. Parallel multi-objective metaheuristics for smart communications in vehicular networks. https://doi.org/10.1007/s00500-015-1891-2

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