Having established the relative performance of algorithms, we now examine whether these differences are statistically reliable and practically significant.
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Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework.
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The sentences
Kruskal-Wallis tests reveal highly significant differences among algorithms for all primary metrics: average cost ( , , ), computation time ( , , ), and Pareto diversity ( , , ).