No Free Lunch, Bayesian Inference, and Utility: A Decision-Theoretic Approach to Optimization
Existing approaches to continuous optimization are essentially mechanisms for deciding which locations should be sampled in order to obtain information about a target function's global optimum. These methods, while often effective in particular domains, generally base their decisions on heurist...
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| Format: | Others |
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BYU ScholarsArchive
2006
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| Online Access: | https://scholarsarchive.byu.edu/etd/866 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1865&context=etd |