A note on using performance and data profilesfor training algorithms
Margherita Porcelli, Philippe L. Toint

TL;DR
This paper demonstrates how to utilize performance and data profiles to enhance algorithm performance, with an example showing significant potential improvements for the BFO derivative-free optimizer.
Contribution
It introduces a method to apply performance and data profiles for algorithm improvement, illustrated through the BFO optimizer case.
Findings
Performance and data profiles can effectively guide algorithm enhancements.
Significant potential gains were observed in the BFO optimizer.
Benchmarking tools can be used to systematically improve algorithm performance.
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.
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Numerical Methods and Algorithms · Scheduling and Timetabling Solutions
