COCO is a platform for Comparing Continuous Optimizers in a black-box setting. It aims at automatizing the tedious and repetitive task of benchmarking numerical optimization algorithms to the greatest possible extent and is used in the Black-box Optimization Benchmarking workshop series, held almost yearly since 2009.
Following the continuous black-box optimization benchmarking (BBOB) workshops in 2009, 2010, 2012, 2013, 2015--2019, and 2021--2022, the next BBOB workshop will take place in 2023. As usual, we call for any contribution related to benchmarking (blackbox) optimization algorithms. In particular, we will provide source code in various languages for benchmarking algorithms with COCO, as well as for postprocessing data and comparing algorithms' performances (up to already prepared LaTeX templates for writing papers).
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Workshop link: http://numbbo.github.io/workshops/