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Found 3 papers, 1 papers with code
An adaptive approach to Bayesian Optimization with switching costs
We investigate modifications to Bayesian Optimization for a resource-constrained setting of sequential experimental design where changes to certain design variables of the search space incur a switching cost.
Benchmarking in Optimization: Best Practice and Open Issues
This survey compiles ideas and recommendations from more than a dozen researchers with different backgrounds and from different institutes around the world.
Unified Framework for the Adaptive Operator Selection of Discrete Parameters
In addition to simplifying, we looked at the commonality among AOS methods from literature to generalise them.
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