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Un optimizador mejorado del sistema bancario conectado que incorpora un triple mecanismo para resolver problemas de

Dake Qian1, Xinyu Cai2, Leidong Feng3

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El algoritmo Enhanced Connected Banking System Optimizer (ECBSO) mejora el CBSO abordando las limitaciones en la búsqueda global y el estancamiento prematuro. ECBSO demuestra un rendimiento superior en tareas de optimización en problemas complejos de ingeniería.

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conjunto de pruebas CEC 2017optimizador de sistemas bancarios conectadosalgoritmo metaheurístico

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Área de la Ciencia:

  • Inteligencia Computacional
  • Algoritmos de Optimización
  • Metaheurísticas

Sus antecedentes:

  • El optimizador de sistemas bancarios conectados (CBSO) es una metaheurística inspirada en las transacciones financieras.
  • CBSO presenta debilidades en paisajes complejos, incluida una búsqueda global limitada y un estancamiento prematuro.

Objetivo del estudio:

  • Presentar una variante mejorada, ECBSO, para superar las limitaciones de CBSO.
  • Mejorar la capacidad de búsqueda global, equilibrar la exploración/explotación y prevenir el estancamiento.

Principales métodos:

  • Se desarrolló ECBSO con guía de grupo dominante, aprendizaje guiado y estrategias híbridas de élite.
  • Se evaluó ECBSO en el conjunto de referencia CEC 2017 y en problemas de ingeniería del mundo real.

Principales resultados:

  • ECBSO superó significativamente a CBSO y a otros algoritmos de vanguardia (ISGTOA, EMTLBO, LSHADE, APSM-jSO, GLS-MPA, ESLPSO, ACGRIME, RDGMVO).
  • ECBSO logró el primer puesto en todos los casos de prueba con una precisión y fiabilidad de convergencia superiores.

Conclusiones:

  • ECBSO ofrece una mayor precisión de optimización y fiabilidad de búsqueda en comparación con los métodos existentes.
  • Los mecanismos complementarios propuestos abordan eficazmente las debilidades inherentes de CBSO en escenarios de optimización complejos.