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Software COCO |
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COCO - Comparing Continuous Optimizers
Date of the last release: 01 January 2014
Person in charge : HANSEN Nikolaus
COCO (COmparing Continuous Optimizers) is a platform for systematic and sound comparisons of real-parameter global optimizers. COCO provides benchmark function testbeds (noiseless and noisy) and tools for processing and visualizing data generated by one or several optimizers. The code for processing experiments is provided in Matlab and C. The post-processing code is provided in Python. The code has been improved and used for the GECCO 2009 and 2010 workshops on “Black Box Optimization Benchmarking” (BBOB) (see Section
More information: http://coco.gforge.inria.fr/doku.php
Software
Research activities
Members
SCHOENAUER Marc ROS Raymond AUGER Anne HANSEN Nikolaus
Group
Learning and Optimization
Joint Inria project team TAO
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