POA and Optimization Algorithm Performance on MAE, Convergence, and Success Rate

5.5 KB of evaluation data for the Pelican Optimization Algorithm (POA) compared to other techniques. The dataset, authored by Amlak Abaza and shared on figshare, measures performance using Mean Absolute Error fitness, convergence time, and iteration numbers related to success rate. It was last updated on June 2, 2026.

Use Cases

• Benchmarking the Pelican Optimization Algorithm (POA) against other techniques based on the described MAE fitness function.
• Analyzing algorithm convergence speed based on the reported convergence time metric.
• Comparing algorithm reliability based on the iteration numbers associated with success rate.
• Evaluating the trade-offs between solution accuracy (MAE) and computational efficiency (time/iterations) across different optimizers.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
• File size is 5.5 KB, indicating a focused and likely quick-to-download evaluation.

Limitations

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

Provenance

Source

figshare, authored by Amlak Abaza.

Collection Method

Likely contains results from computational experiments comparing optimization algorithms.

Freshness

Last updated 2026-06-02 17:26:22; freshness should be verified.