How to conduct Friedman test to compare metaheuristics and which data sets I should consider?
Dear all,
I am working on metaheuristics. I want to do Friedman test to compare the algorithms. I run each algorithm 32 times and stored the best, mean, median values from each run.
To perform the Friedman test which values I should consider, the best value (last value) from 32 runs of each algorithm, or median or mean values? and please explain the reason for selection of this particle values.
Please share your view about this test.
ThanksDear all,
I am working on metaheuristics. I want to do Friedman test to compare the algorithms. I run each algorithm 32 times and stored the best, mean, median values from each run.
To perform the Friedman test which values I should consider, the best value (last value) from 32 runs of each algorithm, or median or mean values? and please explain the reason for selection of this particle values.
Please share your view about this test.
Thanks Dear all,
I am working on metaheuristics. I want to do Friedman test to compare the algorithms. I run each algorithm 32 times and stored the best, mean, median values from each run.
To perform the Friedman test which values I should consider, the best value (last value) from 32 runs of each algorithm, or median or mean values? and please explain the reason for selection of this particle values.
Please share your view about this test.
Thanks metaheuristics, optimization, friedman test MATLAB Answers — New Questions