Parallel multi-objective metaheuristics for smart communications in vehicular networks
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866917893922357248 |
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| author | Toutouh, Jamal Alba, Enrique |
| author_facet | Toutouh, Jamal Alba, Enrique |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_09725 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Parallel multi-objective metaheuristics for smart communications in vehicular networks Toutouh, Jamal Alba, Enrique Neural and Evolutionary Computing Artificial Intelligence Networking and Internet Architecture 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. |
| title | Parallel multi-objective metaheuristics for smart communications in vehicular networks |
| topic | Neural and Evolutionary Computing Artificial Intelligence Networking and Internet Architecture |
| url | https://arxiv.org/abs/2501.09725 |