Multiobjective Optimization

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Improved Precision and Recall Metric for Assessing Generative Models (2019, methodology): “With our metric, however, we are faced with the problem of multiobjective optimization [3]: the snapshots represent a wide range of different tradeoffs between precision and recall, as illustrated in Figure 6a.”
A multi-objective ant colony system algorithm for virtual machine placement in cloud computing (2013, background): “A solution −→x 1 is said to dominate the other solution −→x 2, if the both following conditions are true (see [35,36]):”
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (2014, methodology): “There are a number of reviews of the use of these techniques in optimisation, including Jin (2005) and Knowles and Nakayama (2008), as well as a dedicated edited volume on “Computational Intelligence in Expensive Optimization Problems” (Tenne and Goh, 2010) (in particular, reviews by Shi and…”