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Un optimizador de equilibrio de múltiples estrategias mejorado para la planificación de rutas de vehículos marinos de

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Este estudio mejora el optimizador de equilibrio (EO) con nuevas estrategias, mejorando sus capacidades globales de búsqueda y exploración. El algoritmo de estados de equilibrio inverso mejorado EO (R [Fórmula: ver texto] O) demuestra un rendimiento superior en pruebas de referencia y planificación de rutas para vehículos marítimos.

Palabras clave:
Optimizador de equilibrioEstrategias múltiplesPlanificación del recorridoEquilibrio inversoVehículos marinos de superficie

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Área de la Ciencia:

  • Algoritmos de optimización
  • Optimización heurística
  • Inteligencia computacional

Sus antecedentes:

  • El optimizador de equilibrio estándar (EO) enfrenta limitaciones en la capacidad de optimización.
  • Necesidad de una búsqueda y exploración global mejoradas en algoritmos de optimización.

Objetivo del estudio:

  • Para mejorar el rendimiento del optimizador de equilibrio (EO).
  • Introducir nuevas estrategias para mejorar la capacidad de optimización de EO y la búsqueda global.
  • Validar la eficacia del algoritmo mejorado en funciones de referencia y aplicaciones del mundo real.

Principales métodos:

  • Implementación de un grupo de estado de equilibrio inverso para una exploración espacial de búsqueda más amplia.
  • Introducción de una estrategia de selección de estado de equilibrio no uniforme para la exploración enfocada.
  • Integración de una estrategia de mutación del estado de equilibrio para mejorar la búsqueda del óptimo global.
  • Evaluación del rendimiento utilizando 29 funciones de referencia y aplicación en la planificación de rutas de vehículos marinos.

Principales resultados:

  • El EO mejorado, denominado estado de equilibrio inverso EO (R [Fórmula: ver texto] O), muestra mejoras significativas en el rendimiento con respecto al EO estándar.
  • R [Fórmula: ver texto] O demuestra resultados superiores en comparación con otros algoritmos de optimización heurística de uso frecuente.
  • Aplicación exitosa de R[Fórmula: véase el texto]O en la planificación de rutas para vehículos marinos de superficie con obstáculos estáticos y dinámicos.

Conclusiones:

  • Las mejoras propuestas mejoran efectivamente el rendimiento del optimizador de equilibrio.
  • R[Fórmula: ver texto]O ofrece una solución robusta y eficiente para problemas de optimización complejos.
  • El algoritmo muestra utilidad práctica en sistemas autónomos como la planificación de rutas de vehículos marinos.