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The revised evidence supports lower price-level errors, while directional and significance results are mixed across markets, and the findings establish cross-market consistency rather than transfer learning.
Experimental results demonstrate that the proposed method consistently outperforms nine state-of-the-art constrained multi-objective evolutionary algorithms (CMOEAs) in terms of convergence, feasibility, and diversity, thereby confirming its effectiveness and strong general applicability.
Experimental evaluations under various IWSN environmental monitoring scenarios show that CCNCSO-CRP outperforms state-of-the-art protocols including LEACH-C, VSSLS-SIACR, and FOAEAUC-SARP, and provides reliable technical support for high-performance environmental parameter detection and intelligent early warning system...
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