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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 a series of single-objective continuous black-box optimization benchmarking (BBOB) workshops and a first bi-objective test suite introduced in 2016, we are planning to hold another workshop at GECCO 2017. As usual, we will provide source code in various languages for benchmarking algorithms, as well as for postprocessing data and comparing algorithms' performances (up to already prepared LaTeX templates for writing papers). Sign up below to receive updates about the COCO releases and general news around the platform and the workshop!

Workshop link: http://numbbo.github.io/workshops/

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