Wilcoxon Signed-Rank Test Results for Bus-Drone Logistics Optimization

Song Jin provides Wilcoxon signed-rank test results from a study on bus-assisted heterogeneous-drone delivery models for rural e-commerce. The 5.5 KB Excel file contains statistical comparisons of algorithm performance, including cost and stability metrics. The dataset was last updated in April 2026.

Use Cases

• Validate the statistical significance of cost reductions reported by the Improved Black-Kite Algorithm (IBKA) against benchmarks like GA and EGO.
• Assess algorithm stability improvements using the test's paired difference analysis on performance metrics.
• Perform sensitivity analysis on the influence of factors like drone payload and bus headway based on the underlying test data.

Strengths

• Results are derived from numerical experiments on adapted Solomon instances, a standard benchmark.
• Statistical tests support specific performance claims, such as a 5% average cost reduction relative to a Genetic Algorithm.

Limitations

• The dataset is very small at 5.5 KB, indicating limited raw data or only summary results.
• The underlying sample size (number of test runs or instances) for the statistical tests is not provided.

Provenance

Source

Song Jin via Figshare.

Collection Method

Generated from numerical experiments and algorithm comparisons for a research study.

Time Range

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Freshness

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Geography

Includes a case study on the Xunyang–Tongqianguan line in Shaanxi Province, China.