多目标优化算法评价指标

在多目标优化中，评价指标被用来比较不同算法的性能。一些常用的多目标优化算法评价指标包括：Spread、Inverted Generational Distance (IGD)、Generational Distance (GD)和RNI指标。Spread指标用于衡量算法找到的解的分布范围，即解集的多样性。IGD和GD则用于衡量算法找到的解与真实前沿之间的距离，即解集的收敛性。RNI指标则综合考虑了多样性和收敛性，用于评估算法的整体性能。这些指标可以通过使用元启发式多目标优化的评判指标的Matlab代码来计算。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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