Algorithmic Component Ablation Analysis.

<p>(A) Performance comparison across five algorithm configurations with 95% confidence intervals and statistical significance markers (***p < 0.001). (B) Individual component contributions to total algorithmic improvement, showing cumulative effects and synergy analysis.</p>

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Autore principale:	Kewei Wang (556371) (author)
Altri autori:	Kekun Fan (22683234) (author), Yuhong Chen (120972) (author)
Pubblicazione:	2025
Soggetti:	Science Policy Space Science Biological Sciences not elsewhere classified utilizes hierarchical optimization transcend conventional optimization sustainable local systems strategic network reconfiguration operational vehicle routing offering significant policy generate excessive costs cold chain logistics systematic transformation framework systematic transformation framework reveals systematically resolved study develops structural dependencies service objectives regional distribution regional dependencies quality deterioration product freshness practical implications practical conditions level improvements level improvement inefficient networks enabling emergent empirically validates concurrent outcomes carbon emissions apparent trade 001 ),
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Riassunto:	<p>(A) Performance comparison across five algorithm configurations with 95% confidence intervals and statistical significance markers (***p < 0.001). (B) Individual component contributions to total algorithmic improvement, showing cumulative effects and synergy analysis.</p>

Algorithmic Component Ablation Analysis.

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