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Research Meeting 24486

Comparing Continuous Optimizers (COCO): 2nd Code and Documentation Sprint

( Nov 24 – Nov 29, 2024 )

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COCO (COmparing Continuous Optimizers) is a platform for systematic and sound comparisons of real-parameter global optimizers. COCO provides benchmark function testbeds, experimentation templates which are easy to parallelize, and tools for processing and visualizing data generated by one or several optimizers. COCO is the basis for the (almost yearly) Blackbox Optimization Benchmarking workshop (BBOB) and undergoes constant extensions and rewritings.

Our second code and documentation sprint will bring together the main contributors of the platform to advance on the most pressing aspects of the software and its documentation and to discuss its long-term maintenance.

Copyright Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Olaf Mersmann, and Tea Tusar

  • Numerical Analysis
  • Software Engineering
  • Neural and Evolutionary Computing