NEL-MSCPSO: Benchmark and UAV Path Planning Data

Dafei Wu published source code and raw experimental data for the NEL-MSCPSO algorithm on figshare in 2026. The 150.8 MB repository includes results from CEC2022 benchmark tests and multi-amphibious UAV path planning experiments. Materials such as convergence curves, displacement-time trajectories, and optimization results are provided to reproduce the paper's findings.

Use Cases

• Benchmarking optimization algorithms based on the included CEC2022 test results
• Reproducing UAV path planning experiments based on the provided displacement-time trajectories
• Analyzing algorithm convergence behavior based on the supplied convergence curves
• Developing or testing multi-amphibious UAV control systems based on the experimental data

Strengths

• Includes raw experimental data for full reproducibility of reported figures and tables
• Source code for the proposed NEL-MSCPSO algorithm is publicly available under an MIT license
• Data covers both standard benchmarks (CEC2022) and applied UAV path planning scenarios

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

figshare

Collection Method

Experimental results from algorithm tests and UAV simulations

Freshness

Last updated 2026-05-29 08:02:16