COmparing Continuous Optimizers
Participants : Nikolaus Hansen [correspondent] , Raymond Ros, Anne Auger, Marc Schoenauer.
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 6.4 ), and will serve as a basis for the test platform in the CSDL project.