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基于HGOA的框架,用于PEM燃料电池的多目标优化和性能预测

Kamal1, Manish Kumar Singla2,3, Ramesh Kumar1,4

  • 1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India.

Scientific reports
|October 14, 2025
PubMed
概括

一个新的混合草优化算法 (HGOA) 准确地模拟了质子交换膜燃料电池 (PEMFC) 并优化了多个目标. 这种先进的算法为清洁能源应用提供了更高的效率和可靠性.

关键词:
混合虫优化算法 (HGOA) 是一个算法.超启发式算法 (Metaheuristic Algorithms) 是一种算法,可以通过多目标优化多目标优化性能预测性能预测的预测.质子交换膜燃料电池 (PEMFC) 是一种燃料电池.

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