New Adaptive Echolocation Radar Technique Incorporated into the Bat Algorithm Applied to Benchmark Functions (Radar-Bat)

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:32:20Z
Fecha de publicación2026-01-01
ResumenThis article proposes a bat algorithm that incorporates novel techniques inspired by maritime radars, referred to as the Radar-Bat algorithm. This proposed method allows each virtual bat to identify the position of the best solution at a given distance within the search space. It incorporates an adaptive threshold to maintain a constant false alarm rate (CFAR), enabling the acceptance of solutions based on the best value found, thus improving the exploitation of the search space. Furthermore, a systematic directional sweep balances exploration and exploitation effectively. This algorithm is used to solve complex optimization problems, essentially those with multimodal functions, demonstrating that the proposed algorithm achieves better convergence and robustness compared to the basic bat algorithm, highlighting its potential as a novel contribution to the field of metaheuristics. To evaluate the performance of the proposed algorithm against the basic bat algorithm, the Wilcoxon and Friedman non-parametric tests are applied, with a significance level of 5\%. Computational experiments show that the proposed algorithm outperforms the state-of-the-art algorithm. In terms of quality, the proposed algorithm shows clear superiority over the basic bat algorithm across most benchmark functions. Regarding efficiency, although Radar Bat incorporates additional mechanisms, the experimental results do not indicate a consistent disadvantage in execution time, with both algorithms exhibiting comparable performance depending on the problem and dimensionality.es_ES
Doihttps://doi.org/10.3390/mca31010020es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/4187
Idiomaenes_ES
EditorialMDPIes_ES
RelaciónMathematical and Computational Applicationses_ES
URL relacionadohttps://doi.org/10.3390/mca31010020es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteMathematical and Computational Applications
Palabra clavebat algorithmes_ES
Palabra clavemaritime radares_ES
Palabra claveCFARes_ES
Palabra clavecomplex optimizationes_ES
Palabra clavemetaheuristicses_ES
TítuloNew Adaptive Echolocation Radar Technique Incorporated into the Bat Algorithm Applied to Benchmark Functions (Radar-Bat)es_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorGarcia-Morales, Miguel A.
AutorSalas-Cabrera, Ruben
AutorGarcia-Morales, Barbara Maria-Esther
AutorFrausto-Solis, Juan
AutorRodriguez-Guillen, Joel
AutorGarcia-Morales, Miguel A.es_ES
AutorSalas-Cabrera, Rubenes_ES
AutorGarcia-Morales, Barbara Maria-Estheres_ES
AutorFrausto-Solis, Juanes_ES
AutorRodriguez-Guillen, Joeles_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número1es_ES
URL relacionadahttps://doi.org/10.3390/mca31010020
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen31es_ES

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