论文信息 - COCO: The Experimental Procedure

COCO: The Experimental Procedure

We present a budget-free experimental setup and procedure for benchmarking numerical optimization algorithms in a black-box scenario. This procedure can be applied with the COCO benchmarking platform. We describe initialization of and input to the algorithm and touch upon the relevance of termination and restarts.

[1] Fernando G. Lobo,et al. A parameter-less genetic algorithm , 1999, GECCO.

[2] Anne Auger,et al. COCO: Performance Assessment , 2016, ArXiv.

[3] Thomas Stützle,et al. Evaluating Las Vegas Algorithms: Pitfalls and Remedies , 1998, UAI.

[4] Nikolaus Hansen,et al. A restart CMA evolution strategy with increasing population size , 2005, 2005 IEEE Congress on Evolutionary Computation.

[5] Raymond Ros,et al. Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup , 2009 .

[6] Anne Auger,et al. COCO: a platform for comparing continuous optimizers in a black-box setting , 2016, Optim. Methods Softw..