Measurement Metrics for Multi-Objective Optimizations
To design an optimization or define suitable stop criteria for optimization runs measurements for the quality of the search are mandatory. When it comes to multi-objective optimization (MOO) the amount of possible criteria is much higher due to a growing space of possibilities.
In this video we present you the two most common metrics for MOO and explain you how they work. Furthermore, you get some advice how to use them when the real pareto frontier is unknown.
Python package: pymoo.org
LinkedIn: / fabianrang
GitLab: gitlab.com/you...
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Data Science to go: paretos.com
9 сен 2024