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• W2037227622 endingPage "408" @default.
• W2037227622 startingPage "387" @default.
• W2037227622 abstract "We derive lower bounds on the convergence rate of comparison based or selection based algorithms, improving existing results in the continuous setting, and extending them to non-trivial results in the discrete case. This is achieved by considering the VC-dimension of the level sets of the fitness functions; results are then obtained through the use of the shatter function lemma. In the special case of optimization of the sphere function, improved lower bounds are obtained by an argument based on the number of sign patterns." @default.
• W2037227622 created "2016-06-24" @default.
• W2037227622 creator A5004130370 @default.
• W2037227622 creator A5034012952 @default.
• W2037227622 date "2010-01-23" @default.
• W2037227622 modified "2023-09-25" @default.
• W2037227622 title "Lower Bounds for Comparison Based Evolution Strategies Using VC-dimension and Sign Patterns" @default.
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• W2037227622 doi "https://doi.org/10.1007/s00453-010-9391-3" @default.
• W2037227622 hasPublicationYear "2010" @default.
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