Parameterized bijective transformations on the search space of multi-objective test functions create new benchmark variants that preserve Pareto structure and measurably alter algorithm performance.
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Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions
Parameterized bijective transformations on the search space of multi-objective test functions create new benchmark variants that preserve Pareto structure and measurably alter algorithm performance.