A two stage learning based knowledge driven evolutionary algorithm for energy efficient distributed hybrid flow shop scheduling problem with heterogeneous factories.

Sci Rep · 2026 · PMC13338446 · PMID 42091986

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highly significantno p-value reported

Table 19 presents the Friedman ranking, where TLKEA is ranked as the best algorithm across all instances, with a highly significant p-value of 5.0793e-17 < 0.05.

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