COCO (COmparing Continuous Optimisers) is a platform for systematic and sound comparisons of real-parameter global optimisers. COCO provides benchmark function testbeds and tools for processing and visualizing data generated by one or several optimizers. The COCO platform has been used for the Black-Box-Optimization-Benchmarking (BBOB) workshops that took place during the GECCO conference in 2009, 2010. The next edition is in July 2012 for the next GECCO. The COCO source code is available at the downloads page.
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Selected Results
The figures show selected results from BBOB 2009. The empirical runtime distribution is shown for all (above) and six subgroups (below) of the BBOB functions. Click on the respective figures for more details.
Current BBOB Functions
The current 24 noiseless test functions are
Only f1 and f5 are purely quadratic or linear respectively.
See also N. Hansen et al (2010): Comparing Results of 31 Algorithms from the Black-Box Optimization Benchmarking BBOB-2009. Workshop Proceedings of the GECCO Genetic and Evolutionary Computation Conference 2010, ACM.
