Tools to perform hypothesis tests based on the empirical attainment function.
Project description
- Usage: ./eaf_test.py <fileA> <fileB>
./eaf_test.py -i <indicators_file>
- <fileA> and <fileB>: non-dominated sets of two-dimensional
objective vectors
- <indicators_file>: point indicator file from the joint-eaf
computation
- Current limitations: second-order only
maximum executions: 64 (32 + 32) permutations: 10240 (fixed) significance level: 0.05 (fixed)
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