If you are interested in participating, please send us your name and email.
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While comparing results on benchmark functions is a widely used practice to demonstrate the competitiveness of global optimization algorithms, fixed benchmarks can lead to a negative data mining process. The motivated researcher can "persecute" the algorithm choices and parameters until the final designed algorithm "confesses" positive results for the specific benchmark.
With a similar goal, to avoid the negative data mining effect, the GENOPT contest will be based on randomized function generators, with fixed statistical characteristics but individual variation of the generated instances.
The generators will be made available to the participants to test offline and online tuning schemes, but the final competition will be based on random seeds communicated in the last phase.
A dashboard will reflect the current ranking of the participants, who are encouraged to exchange preliminary results and opinions.
The final "generalization" ranking will be confirmed in the last competition phase.