No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation
–Neural Information Processing Systems
Black-box optimisation is one of the important areas in optimisation. The original No Free Lunch (NFL) theorems highlight the limitations of traditional black-box optimisation and learning algorithms, serving as a theoretical foundation for traditional optimisation. No Free Lunch Analysis in adversarial (also called maximin) optimisation is a long-standing problem [45, 46]. This paper first rigorously proves a (NFL) Theorem for general black-box adversarial optimisation when considering Pure Strategy Nash Equilibrium (NE) as the solution concept.
Neural Information Processing Systems
Mar-27-2025, 11:18:24 GMT
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