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Metaheuristic Tuning Generalisation by Cross-Validated Racing
International Journal of Computer Applications
Many tuning methods are based on concepts of sensitivity analysis combined with heuristics that tend to reduce the search space by eliminating less promising configurations. Nevertheless, tuning parameters is a task that requires specific and timeconsuming experiments, especially when involving large problem instances. This is particularly due to existing methods were not designed to efficiently generalise a tuning of parameters to other instances that did not participate of the trainingdoi:10.5120/ijca2020919991 fatcat:vw2k33b5qndwjdk3ldnrq27xom