A note on using performance and data profiles for training algorithms
Margherita Porcelli (margherita.porcelliunifi.it)
Abstract: It is shown how to use the performance and data profile benchmarking tools to improve algorithms' performance. An illustration for the BFO derivative-free optimizer suggests that the obtained gains are potentially significant.
Keywords: algorithmic design, algorithms' training, trainable codes, derivative-free optimization
Category 1: Nonlinear Optimization
Category 2: Optimization Software and Modeling Systems (Optimization Software Benchmark )
Category 3: Other Topics (Optimization of Simulated Systems )
Citation: ACM Transactions on Mathematical Software, 45:2 (2019), Article 20.
Entry Submitted: 11/26/2017
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