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Ubiquity symposium: Evolutionary computation and the processes of life: what the no free lunch theorems really mean: how to improve search algorithms

https://doi.org/10.1145/2555235.2555237
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cplx.6130010511openalex-snapshot
What makes an optimization problem hand?
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50039-8openalex-snapshot
A Conservation Law for Generalization Performance
inferredcites →https://doi.org/10.1109/4235.585893openalex-snapshot
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/tevc.2005.856205openalex-snapshot
Coevolutionary Free Lunches
inferredcites →https://doi.org/10.1162/neco.1996.8.7.1341openalex-snapshot
The Lack of A Priori Distinctions Between Learning Algorithms
inferredcites →https://doi.org/10.1162/neco.1997.9.6.1211openalex-snapshot
On Bias Plus Variance
inferredcites →https://doi.org/10.48550/arxiv.0810.0877openalex-snapshot
Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method

What points at this work

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