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Section: Software
COmparing Continuous Optimizers
Participants : Nikolaus Hansen [correspondent] , Anne Auger, Marc Schoenauer.
Evolutionary Computation, stochastic optimization, real-parameter optimization, benchmarking, derivative free optimization
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 is under continuous developement and has been used for the GECCO 2009, 2010 and 2012 workshops on “Black Box Optimization Benchmarking” (BBOB) (see Section 3.3 ), and serves as a basis for the test platform in the CSDL project.