There is a strong clinical need to evaluate different multi‐criteria optimization (MCO) algorithms, including inverse optimization sampling algorithms and machine learning‐based predictions. This study aims to develop and compare several interpolated Pareto surface similarity metrics.

中文翻译：

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技术说明：内插式Pareto表面相似性度量标准用于放射治疗中的多标准优化

临床上非常需要评估不同的多准则优化（MCO）算法，包括逆优化采样算法和基于机器学习的预测。这项研究旨在开发和比较几种插值的帕累托表面相似度指标。