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Asignación eficiente de múltiples tareas de maquinaria agrícola basada en el Algoritmo de Optimización de Serpientes

Ruoxue Xiang1, Xiang Liu1, Min Tian1

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Resumen

Este estudio presenta un nuevo algoritmo, el Algoritmo de Optimización de Serpientes de Variación Élite Caótica de Cauchy (CCEVSOA), para la asignación eficiente de tareas en granjas inteligentes. CCEVSOA reduce significativamente el tiempo de operación de la maquinaria y mejora la coordinación, aumentando la productividad y minimizando el desperdicio de recursos.

Palabras clave:
Granjas inteligentesOptimización de tareasMaquinaria agrícolaAlgoritmo de optimizaciónEficienciaCCEVSOA

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Área de la Ciencia:

  • Ingeniería Agrícola
  • Inteligencia Artificial
  • Algoritmos de Optimización

Sus antecedentes:

  • Las granjas inteligentes no tripuladas enfrentan desafíos en la asignación de tareas multimaquinaria, lo que genera ineficiencias.
  • Las estrategias actuales dan como resultado una implementación subóptima de la maquinaria, una menor productividad y un desperdicio de recursos.

Objetivo del estudio:

  • Desarrollar un novedoso modelo de asignación de tareas y algoritmo de optimización para maquinaria agrícola.
  • Mejorar la eficiencia y la viabilidad económica de la asignación de tareas en la agricultura inteligente.

Principales métodos:

  • Introducción de un novedoso modelo de asignación de tareas que considera la velocidad de la máquina, el tiempo de giro y el consumo de combustible.
  • Desarrollo y aplicación del Algoritmo de Optimización de Serpientes de Variación Élite Caótica de Cauchy (CCEVSOA).
  • CCEVSOA utiliza operadores caóticos y de Cauchy con evolución élite para mejorar la búsqueda y la convergencia.

Principales resultados:

  • CCEVSOA demostró un rendimiento superior y una tasa de convergencia más rápida en comparación con los algoritmos existentes (SO, GA, CSA, WOA, IBES).
  • Se lograron reducciones significativas en el tiempo de asignación colaborativa de tareas: 103 min (vs. SO), 89 min (vs. GA), 106 min (vs. CSA), 97 min (vs. WOA) y 36 min (vs. IBES).
  • Las mejoras en la eficiencia oscilaron entre el 5,5% y el 14,6%.

Conclusiones:

  • CCEVSOA proporciona un enfoque más racional y económicamente eficiente para la asignación de tareas multimaquinaria en granjas inteligentes.
  • Los esquemas de asignación optimizados mejoran la productividad de la maquinaria agrícola y minimizan el desperdicio de recursos.
  • Esta investigación contribuye al avance de los sistemas agrícolas inteligentes a través de una mayor eficiencia operativa.